We can say with 99% confidence that the true population mean commute time to work falls within the range of 29.95 to 37.25 minutes. The margin of error of 1.83 indicates that the sample mean of 33.6 minutes may differ from the true population mean by up to 1.83 minutes in either direction.
To construct a 99% confidence interval for the population mean commute time to work, we need to use the T distribution since the sample size is less than 30. From the given information, the sample mean commute time to work is 33.6 minutes and the standard deviation is 7.1 minutes.
The formula for the confidence interval is:
(sample mean) +/- (t-value)(standard error)
The t-value is found using a T distribution table with a degree of freedom of n-1 (29-1=28) and a confidence level of 99%. This gives us a t-value of 2.763.
The standard error is calculated as the standard deviation divided by the square root of the sample size. So,
standard error = 7.1/sqrt(29) = 1.32
Plugging in the values, we get:
33.6 +/- 2.763(1.32)
This simplifies to:
33.6 +/- 3.65
Therefore, the 99% confidence interval for the population mean commute time to work is (29.95, 37.25).
The margin of error of the mean is the difference between the upper and lower bounds of the confidence interval divided by 2. In this case, the margin of error is (37.25-29.95)/2 = 3.65/2 = 1.83.
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f(x)=x^2. what is g(x)? :)
Answer: B. g(x) = 1/2x^2
Step-by-step explanation: By putting the 1/2 in front of the graph, it will make it wider, making it cross through the point (2,2)
can you help me it is due in 15 minuets.
The number of solutions of the equation that goes with the graph shown is given as follows:
One.
How to obtain the zeros of a function?The zeros of a function are the values of the input x for which the output y of the function assumes a value of y.
On the graph of a function, the zeros of a function are the values of x for which the graph either touches or crosses the x-axis.
The zeros of a function also give the number of solutions that the given function has.
Hence, in this problem, the function has one solution, which is of x = -1, where the graph of the function touches the x-axis.
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At the end of the passage, Javier says, "By the time you have a sip of
coffee, many hands have touched those coffee beans." By this,
Javier means to say that
Javier's statement emphasizes the vast network of individuals involved in the coffee supply chain, from the farmers to the workers who package the coffee beans.
The statement highlights the complex and interconnected nature of the global coffee industry, where people from different countries and cultures collaborate to bring a single product to the consumer.
It also draws attention to the importance of ethical and sustainable practices in the industry, such as fair wages and working conditions for coffee farmers and workers.
Additionally, it serves as a reminder that a single cup of coffee is the result of the collective effort of numerous individuals, and it's essential to recognize and appreciate their hard work and contribution to our daily lives.
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(Chapter 10) If x = f(t) and y = g(t) are twice differentiable, then (d^2y)/(dx^2) =(d^2y/dt^2)/ (d^2x/dt^2)
The statement is not true in general. The correct formula relating the second differential equations of y with respect to x and t is:
(d²y)/(dx²) = [(d²y)/(dt²)] / [(d²x)/(dt²)]
This formula is known as the Chain Rule for Second Derivatives, and it relates the rate of change of the slope of a curve with respect to x to the rate of change of the slope of the curve with respect to t. However, it is important to note that this formula only holds under certain conditions, such as when x is a function of t that is invertible and has a continuous derivative.
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describe the behavior of the graph of the function f(x)=(x-5)(x-1)(x+4) at each zero
The behavior of the graph of the function is that it crosses the x-axis at at each zero
Describing the behavior of the graph of the functionThe equationn of the function is given as
f(x) = (x-5)(x-1)(x+4)
Express properly
So, we have
f(x) = (x - 5)(x - 1)(x + 4)
The multiplicities of the factors of the above equation are 1
This means that the graph would cross the x-axis at at each zero
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the weights of newborn baby boys born at a local hospital are believed to have a normal distribution with a mean weight of 3996 grams and a variance of 111,556 . if a newborn baby boy born at the local hospital is randomly selected, find the probability that the weight will be less than 4664 grams. round your answer to four decimal places.
Rounding to four decimal places, we get the probability that the weight will be less than 4664 grams as 0.9991.
Let X be the weight of a newborn baby boy born at the local hospital. We know that X follows a normal distribution with mean μ = 3996 grams and variance σ² = 111,556 grams².
We want to find the probability that the weight will be less than 4664 grams. That is, we need to find P(X < 4664).
To standardize X, we can use the z-score formula:
z = (X - μ) / σ
Substituting the given values, we get:
z = (4664 - 3996) / √111556
z = 3.1217
Using a standard normal table or calculator, we can find that the probability of a standard normal random variable being less than 3.1217 is approximately 0.9991.
Therefore, P(X < 4664) = P(Z < 3.1217) ≈ 0.9991.
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i dont understand this
Based on the chord-arc theorem, the value of x in the circle shown is calculated as: x = 8.
What is the Chord-Arc Theorem?The theorem states that if two chords of equal circle are congruent, then the arcs they intercepted would be congruent to each other.
The image shows that both chords are equal, therefore, their intercepted arcs would be congruent. Thus, we have:
4x + 7 = 5x - 1
Combine like terms:
4x - 5x = -7 - 1
-x = -8
x = 8
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A flight from the United States to Japan takes about 18 hours. If Larry makes 3 round trips each month for business, how many total days does he spend traveling to Japan in one year ?
Answer: Larry spends a total of 54 days traveling to Japan in one year for business.
Step-by-step explanation: Assuming each round trip takes 18 hours in both directions, Larry spends a total of 36 hours for each round trip to Japan.
To calculate the total number of days he spends traveling to Japan in one year, you can use the following steps:
Calculate the total number of hours Larry spends traveling to Japan in one year:
Total hours = 3 round trips/month * 12 months/year * 36 hours/round trip
Total hours = 3 * 12 * 36 = 1,296 hours
Convert the total number of hours to days:
1 day = 24 hours
Total days = Total hours / 24 hours/day
Total days = 1,296 hours / 24 hours/day
Total days = 54 days
Therefore, Larry spends a total of 54 days traveling to Japan in one year for business.
The measures of the exterior angles of a hexagon are x°, 2x°, 6x°, 8x°, 9x°, and 10x°. Find the measure of the smallest exterior angle.
the measure of the smallest exterior angle is 13. 846 degrees
How to determine the value
It is important to note that the sum of the exterior angles of a polygon is expressed with the formula;
Sum of exterior angles = 360
Note that are hexagon is defined as a polygon with 6 sides and six vertices.
Now, substitute the measure of the angles
x + 2x + 6x + 8x + 9x = 360
collect the like terms, we have;
26x = 360
Divide both sides by the coefficient of x, we have;
26x/26 = 360/x
x = 13. 846 degrees
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how many square units are in the region satisfying the inequalities and ? express your answer as a decimal.
Therefore, the total area of the region that satisfies the two inequalities is 14.5 square units.
The two inequalities given are:
y >= x
y <= |x - 3|
The region that satisfies both inequalities is the shaded area in the graph.
We can find the area of this region by splitting it into two parts: the triangle formed by the points (0, 0), (3, 0), and (3, 3), and the trapezoid formed by the points (3, 3), (2, 1), (-1, 3), and (-3, 3).
The area of the triangle is (1/2)33 = 4.5 square units.
To find the area of the trapezoid, we need to find the lengths of its two bases and its height. The height is the distance between the x-axis and the line y = |x - 3|. This line intersects the x-axis at x = 3 and at x = -1. At x = 3, the height is 0. At x = -1, the height is |-1 - 3| = 4. So the height of the trapezoid is 4 units.
The lengths of the two bases of the trapezoid are the distances between the y-axis and the lines x = 2 and x = -3. These distances are 2 and 3 units, respectively. So the area of the trapezoid is (1/2)*(2 + 3)*4 = 10 square units.
Therefore, the total area of the region that satisfies the two inequalities is 4.5 + 10 = 14.5 square units.
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Complete question:
How many square units are in the region satisfying the inequalities y>=(x) and y<=-(x)+3? Express your answer as a decimal. * the () are absolute value signs.
You're a contestant on a TV game show. In the final round of the game, if contestants answer a question correctly, they will increase their current winnings of $1 million to $3 million. If they are wrong, their prize is decreased to $750,000. You believe you have a 10% chance of answering the question correctly.Ignoring your current winnings, your expected payoff from playing the final round of the game show is $ _____.Given that this is _____ (negative/positive), you _____ (should/should not) play the final round of the game. (Hint: Enter a negative sign if the expected payoff is negative.)The lowest probability of a correct guess that would make the guessing in the final round profitable (in expected value) is _____ (11.6667%, 7.7778%, 12.2222%, 11.1111%). (Hint: At what probability does playing the final round yield an expected value of zero?)
The expected payoff from playing the final round of the game show is -$25,000. This is a negative value. Therefore, you should not play the final round of the game. The lowest probability of a correct guess that would make the guessing in the final round profitable (in expected value) is 11.1111%. This is the probability at which playing the final round yields an expected value of zero.
To calculate the expected payoff from playing the final round of the game show, we can use the formula:
Expected payoff = (Probability of winning × Payoff for winning) + (Probability of losing × Payoff for losing)
In this case, you have a 10% chance of answering the question correctly and increasing your winnings to $3 million, and a 90% chance of answering incorrectly and decreasing your winnings to $750,000. Ignoring your current winnings, the expected payoff is:
Expected payoff = (0.10 × $2 million) + (0.90 × -$250,000) = $200,000 - $225,000 = -$25,000
Given that this is negative, you should not play the final round of the game.
To find the lowest probability of a correct guess that would make guessing in the final round profitable (in expected value), we can set the expected payoff to zero:
0 = (P × $2 million) + ((1-P) × -$250,000)
Solving for P:
$250,000(1-P) = $2 million × P
$250,000 - $250,000P = $2 million × P
$250,000 = $2,250,000 × P
P = 0.111111 (11.1111%)
So, the lowest probability of a correct guess that would make guessing in the final round profitable (in expected value) is 11.1111%.
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Help me with this i will pay alot
Answer:
It should be 2/6 if it lands on 2 and 1/6 if it lands on 3 or 1
Step-by-step explanation:
Hope this helps if not sorry
Answer: 1/6
Step-by-step explanation:
P(2), probability of getting a 2 = possibilities/outcome
P(2)= 2/6=1/3
P(1 or 3) = 3/6 = 1/2
P(2 and (3or1)) because there is an "and" here you multiply the 2 probabilities
P(2 and (3or1) = 1/3 * 1/2 = 1/6
The distribution of height for a certain population of women is approximately normal with mean 65 inches and standard deviation 3.5 inches. Consider two different random samples taken from the population, one of size 5 and one of size 85.
Which of the following is true about the sampling distributions of the sample mean for the two sample sizes?
A. Both distributions are approximately normal with mean 65 and standard deviation 3.5.
B. Both distributions are approximately normal. The mean and standard deviation for size 5 are both less than the mean and standard deviation for size 85.
C. Both distributions are approximately normal with the same mean. The standard deviation for size 5 is greater than that for size 85.
D. Only the distribution for size 85 is approximately normal. Both distributions have mean 65 and standard deviation 3.5.
C. Both distributions are approximately normal with the same mean. The standard deviation for size 5 is greater than that for size 85.
Explanation:
When taking random samples from a population with a normal distribution, the sampling distributions of the sample mean will also be approximately normal. The mean of the sampling distributions will be the same as the population mean, which is 65 inches in this case.
However, the standard deviation of the sampling distributions will be different for the two sample sizes. The standard deviation of the sampling distribution is calculated as the population standard deviation divided by the square root of the sample size (σ/√n). In this case, the population standard deviation is 3.5 inches.
For the sample size of 5:
Standard deviation = 3.5/√5 ≈ 1.566
For the sample size of 85:
Standard deviation = 3.5/√85 ≈ 0.379
As you can see, the standard deviation for the sample size of 5 is greater than the standard deviation for the sample size of 85, which means that the sampling distribution for the smaller sample size will be more spread out than the one for the larger sample size.
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1. What is the area of the trapezoid? The diagram is not drawn to scale. (1 point)
6 cm
4 cm
8 cm
048 cm²
064 cm²
072 cm²
O104 cm²
The area of the trapezoid is 72 cm².
We have,
AB = EF = 8 cm
and CE = FD = 4 cm
So, CD = CE + EF + FD
CD = 4 + 8 + 4
CD = 16 cm
Now, the Area of trapezoid
= 1/2 x (sum of parallel sides) x height
= 1/2 x (16+ 8) x 6
= 1/2 x 24 x 6
= 72 cm²
Thus, The area of trapezoid is 72 cm²
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Pls i need this !!!!
Answer:
$40
Step-by-step explanation:
The interest on $4,000 at 3% for 4 months would be $40 if we round.
Suppose that the mean and variance of a UQDS of size 25 are u = 10 and o2 = 1. Let us now = assume that the new observation 14 is obtained and added to the data set. What is the variance of the new data set?
The variance of the new data set is approximately 1.5319.
To find the variance of the new data set, we need to use the formula for updating the variance after adding a new observation:
New variance = (n * old variance + (new observation - mean)^2) / (n + 1)
Plugging in the given values, we get:
New variance = (25 * 1 + (14 - 10)^2) / (25 + 1) = 1.17
Therefore, the variance of the new data set is 1.17.
When adding a new observation to a data set, we need to recalculate the mean and variance. Given the current mean (u) is 10, variance (o^2) is 1, and sample size (n) is 25, we can find the variance of the new data set after adding the new observation (14).
First, let's update the mean (u_new) by including the new observation:
u_new = (25 * 10 + 14) / (25 + 1) = (250 + 14) / 26 = 264 / 26 = 10.1538
Next, let's calculate the sum of squared differences (SSD) for the original data set:
SSD = (o^2 * n) = (1 * 25) = 25
Now, we'll add the squared difference for the new observation:
SSD_new = SSD + (14 - u_new)^2 = 25 + (14 - 10.1538)^2 ≈ 25 + 14.8098 = 39.8098
Finally, we'll calculate the variance (o^2_new) for the new data set:
o^2_new = SSD_new / (n + 1) = 39.8098 / 26 ≈ 1.5319
So, the variance of the new data set is approximately 1.5319.
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A bottle contain 500ml of water and the water fills half of the bottle. How many liters of water does the bottle hold
Step-by-step explanation:
If the bottle contains 500ml of water and the water fills half of the bottle, then the total capacity of the bottle must be 1000ml (since half of 1000ml is 500ml).
To convert this to liters, we can divide by 1000, since there are 1000 milliliters in one liter.
1000ml / 1000 = 1 liter
Therefore, the bottle holds 1 liter of water.
Evaluate 16-[2x(5+1)
Answer:
The answer is 28
Step-by-step explanation:
5+1=6 ×2 =12 +16=28
Please I need help The model shown below is a perfect cube with a volume of 27 cubic units. = 1 unit cube KEY Which statement is true about all perfect cubes? A A perfect cube represents 3 times the area of a face of the cube. B A perfect cube represents the sum of 9 edge lengths of the cube. C A perfect cube represents the volume of a cube with equal integer side lengths. D A perfect cube represents the surface area of a cube with equal integer side lengths.
The true statement is "A perfect cube represents the volume of a cube with equal integer side lengths." option c.
Option C says that a perfect cube represents the volume of a cube with equal integer side lengths.
This statement is true for all perfect cubes. In other words, if we have a cube with sides of length 3 units.
then the volume is simply the length times the width times the height, or 3 x 3 x 3 = 27 cubic units.
This applies to all perfect cubes, regardless of their size.
So to sum it up, option C is the correct statement about all perfect cubes. A perfect cube represents the volume of a cube with equal integer side lengths.
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a grocery store would like to determine whether there is a difference in the shelf life of two different brands of doughnuts. a random sample of 40 boxes of each brand was selected and the shelf life in days was determined for each box. a 95% confidence interval for mu subscript a minus mu subscript b , the difference in the mean shelf life between brand a and brand b, was found to be (-0.7, 0.1). based on this confidence interval, what can we conclude? since 0 is contained in the interval, we are unable to conclude there is a difference in the average shelf life of the two brands of doughnuts. since 0 is contained in the interval, we accept the null hypothesis that there is no difference in the average shelf life of the two brands of doughnuts. since most of the values in the interval are negative, we conclude the average shelf life is longer for brand b doughtnuts. we are unable to draw conclusions without knowing the associated p-value.
"Since 0 is contained in the interval, we are unable to conclude there is a difference in the average shelf life of the two brands of doughnuts."
The confidence interval is a range of values that is likely to contain the true value of the population parameter (in this case, the difference in the mean shelf life between brand A and brand B). A 95% confidence interval means that if we repeated the sampling process many times, we would expect the true value of the population parameter to be within the interval 95% of the time.
The confidence interval given is (-0.7, 0.1), which means that with 95% confidence, the true value of the population parameter is somewhere between -0.7 and 0.1. Since 0 is contained within this interval, we cannot reject the null hypothesis that there is no difference in the mean shelf life between the two brands.
In other words, we cannot conclude that there is a statistically significant difference in the mean shelf life between the two brands based on the given data. We cannot say that one brand has a longer or shorter shelf life than the other, nor can we conclude that there is no difference. All we can say with 95% confidence is that the true difference in the mean shelf life between the two brands is likely to be within the interval (-0.7, 0.1).
Therefore, the correct answer is: "Since 0 is contained in the interval, we are unable to conclude there is a difference in the average shelf life of the two brands of doughnuts."
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Given the following ANOVA table for three treatments each with six observations: df Mean square Source Treatment Error Total Sum of squares 1,122 1,074 2,196 What is the treatment mean square? Multiple Choice O 71.6 71.8 O O 561 537 a
The treatment mean square can be calculated by dividing the sum of squares for treatment by the degrees of freedom for treatment. In this case, the sum of squares for treatment is 1,122 and the degrees of freedom for treatment is 2. Therefore, the treatment mean square is 1,122/2 = 561. Therefore, the correct answer is: 561.
Based on the ANOVA table you've provided, you're interested in determining the treatment mean square. The treatment mean square (also called mean square between) is calculated by dividing the treatment sum of squares by the treatment degrees of freedom (df). Unfortunately, the ANOVA table appears to be incomplete, and I am unable to give you the specific numbers for the calculations.
However, I can guide you on how to calculate the treatment mean square. Once you have the treatment sum of squares and treatment df, simply follow this formula:
Treatment Mean Square = Treatment Sum of Squares / Treatment df
After applying this formula, you'll be able to choose the correct answer from the multiple-choice options you've mentioned: 71.6, 71.8, 561, or 537.
The treatment mean square can be calculated by dividing the sum of squares for treatment by the degrees of freedom for treatment. In this case, the sum of squares for treatment is 1,122 and the degrees of freedom for treatment is 2. Therefore, the treatment mean square is 1,122/2 = 561. Therefore, the correct answer is: 561.
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solve for n
2(n + u) = y
Answer:
Step-by-step explanation:
To solve for n, we can start by isolating n on one side of the equation.
2(n + u) = y
First, distribute the 2:
2n + 2u = y
Next, isolate the n term by subtracting 2u from both sides:
2n = y - 2u
Finally, divide both sides by 2:
n = (y - 2u) / 2
Therefore, n = (y - 2u) / 2.
what does a padaung woman who uses brass rings to stretch her neck illustrate about deviance?
Answer:
The practice of using brass rings to stretch the neck, also known as neck elongation or neck stretching, is traditionally associated with the Padaung ethnic group from Myanmar (formerly known as Burma).
From a sociological perspective, the use of brass rings to stretch the neck can be seen as an example of deviance, which refers to behavior that violates social norms and expectations. Deviance can be either criminal or non-criminal, depending on the specific behavior in question and the cultural context in which it occurs.
In the case of Padaung women, the use of brass rings to elongate the neck is a form of non-criminal deviance, as it does not violate any laws. However, it does violate cultural norms and expectations in many other societies, where elongated necks are not seen as desirable or attractive.
Therefore, the practice of neck elongation among Padaung women can be seen as a form of cultural deviance, in which members of a particular group engage in behavior that is not considered acceptable or desirable by the larger society in which they live. At the same time, it can also be seen as an expression of cultural identity and tradition, as the practice has been passed down through generations and is an important part of Padaung culture and heritage.
to add or subtract radical expressions, put each in ___________and apply the ____________property, if possible. we can add only __________radicals, which are radicals with the same_________ index and the same . we must write each expression in simplified form for radicals before we can tell if the______ are similar.
To add or subtract radical expressions, put each in simplest form and apply the distributive property, if possible.
We can add only like radicals, which are radicals with the same index and the same radicand. We must write each expression in simplified form for radicals before we can tell if the radicals are similar.
To add or subtract radical expressions, put each in simplified form and apply the distributive property, if possible. We can add only like radicals, which are radicals with the same index and the same radicand. We must write each expression in simplified form for radicals before we can tell if the terms are similar.
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The height of American women ages 18 and 29 are normallydistributed with a mean of 64.3 inches and a standard deviation of3.8 inches. What is the probability that she is less than 70 inchestall? (W
The probability that a woman is less than 70 inches tall is 0.9332, or approximately 93.32%.
To find the probability that a woman is less than 70 inches tall, we need to use the normal distribution and standard normal distribution tables.
First, we need to convert the given measurements into standard units by using the formula:
z = (x - μ) / σ
where z is the standard score, x is the height we want to find the probability for (70 inches), μ is the mean (64.3 inches), and σ is the standard deviation (3.8 inches).
Plugging in the values, we get:
z = (70 - 64.3) / 3.8 = 1.50
Next, we can look up the probability of getting a z-score of 1.50 or less from the standard normal distribution table. This probability is 0.9332.
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a university requires its biology majors to take a course called bioresearch. the prerequisite for this course is that students must have taken either a statistics course or a computer course. by the time they are juniors, 52% of the biology majors have taken statistics, 23% have had a computer course, and 7% have done both. what is the probability that a randomly selected junior biology major has taken either statistics or a computer course (or both)? please enter your answer as a decimal, rounded to two places after the decimal point.
The probability that a randomly selected junior biology major has taken either a statistics or a computer course is 0.68
To find the probability that a randomly selected junior biology major has taken either a statistics or a computer course (or both), we'll use the formula:
P(A or B) = P(A) + P(B) - P(A and B)
Where:
- P(A) is the probability of having taken a statistics course (52% or 0.52)
- P(B) is the probability of having taken a computer course (23% or 0.23)
- P(A and B) is the probability of having taken both courses (7% or 0.07)
Now, plug in the values:
P(A or B) = 0.52 + 0.23 - 0.07
P(A or B) = 0.68
So, the probability that a randomly selected junior biology major has taken either a statistics or a computer course (or both) is 0.68, or 68%.
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Two fair dice are tossed, and the following events are defined: A: {The sum of the numbers showing is odd.} B: {The sum of the numbers showing is 9, 11, or 12.} C. Are events A and B independent? Why?
The probability of both events happening together is 2/18 or 1/9. To determine whether events A and B are independent, we need to first calculate their probabilities.
For event A, we can count the number of ways that the sum of the numbers showing is odd. There are 18 possible outcomes when two dice are rolled, and 9 of them result in an odd sum: (1,2), (1,4), (1,6), (2,1), (2,3), (2,5), (3,2), (3,4), and (4,1). Therefore, the probability of event A is 9/18 or 1/2.
For event B, we can count the number of ways that the sum of the numbers showing is 9, 11, or 12. There are 18 possible outcomes when two dice are rolled, and 4 of them result in a sum of 9, 2 of them result in a sum of 11, and 1 results in a sum of 12: (3,6), (4,5), (5,4), (6,3), (5,6), (6,5), and (6,6). Therefore, the probability of event B is 7/18.
To determine whether events A and B are independent, we need to see if the probability of both events happening together is equal to the product of their individual probabilities.
If events A and B were independent, then the probability of both events happening together would be the probability of event A multiplied by the probability of event B:
P(A and B) = P(A) * P(B)
Substituting in the values we calculated above:
P(A and B) = (1/2) * (7/18) = 7/36
To calculate the actual probability of both events happening together, we can count the number of outcomes where the sum of the numbers showing is both odd and 9, 11, or 12. There are only 2 such outcomes: (3,6) and (5,6). Therefore, the probability of both events happening together is 2/18 or 1/9.
Since P(A and B) does not equal P(A) * P(B), we can conclude that events A and B are not independent.
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Riya recives a 6% commission for selling newspaper ads. If she sells 15 ads for 50$ each, how much does she earn?
Riya earns $45 in commission for selling 15 newspaper ads at $50 each.
A commission is a charge or payment given to a person or group in exchange for a good or service. When selling goods or services on behalf of a corporation, sales representatives or agents are frequently compensated with commissions in the business world. For instance, a stockbroker may receive a fee for carrying out a trade on behalf of a customer, while a real estate agent may receive a commission depending on the sale price of a property they assist in selling.
Riya receives a 6% commission for selling newspaper ads, and if she sells 15 ads for $50 each, her total earnings can be calculated as follows:
Total earnings = Total sales x Commission rate
The total sales from selling 15 ads at $50 each are:
Total sales = 15 x $50 = $750
The commission rate is 6%, which can be written as 0.06 as a decimal.
Plugging these values into the formula, we get:
Total earnings = $750 x 0.06 = $45
Therefore, Riya earns $45 in commission for selling 15 newspaper ads at $50 each.
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What number is 60% of 20
Answer:
12
Step-by-step explanation:
60% is the same as 0.6
So, we simply multiply:
20 * 0.6 = 12
Therfore, the answer is 12
~~~Harsha~~~
two of the variables in this file ( rgdpch and rgdp88) measure real gross domestic product (gdp) per capita in 1990 and 1988. please conduct the appropriate t-test to answer the following question:
If the null hypothesis is not rejected, we cannot conclude that there is a significant difference between the two time periods.
Assuming that the question is "Has real gross domestic product per capita significantly increased between 1988 and 1990?" We can use a paired-sample t-test to answer this question.
Here are the steps to conduct the paired-sample t-test:
Null hypothesis: The mean difference between the real gross domestic product per capita in 1988 and 1990 is zero. In other words, there is no significant difference between the two time periods.
Alternative hypothesis: The mean difference between the real gross domestic product per capita in 1988 and 1990 is not zero. In other words, there is a significant difference between the two time periods.
Determine the level of significance, alpha (α). Let's assume α = 0.05.
Calculate the difference between the two time periods (1990 - 1988) for each observation.
Calculate the mean and standard deviation of the differences.
Calculate the standard error of the mean difference (SEd) by dividing the standard deviation of the differences by the square root of the sample size.
Calculate the t-statistic by dividing the mean difference by the SEd.
Calculate the degrees of freedom (df) using the formula: df = n - 1, where n is the sample size.
Determine the critical t-value from the t-distribution table with df = n - 1 and α = 0.05.
Compare the calculated t-value with the critical t-value. If the calculated t-value is greater than the critical t-value, reject the null hypothesis. Otherwise, fail to reject the null hypothesis.
Interpret the results. If we reject the null hypothesis, we can conclude that there is a significant difference between the two time periods, and the direction of the difference can be determined by the sign of the mean difference.
Note: In order to conduct the paired-sample t-test, we need to assume that the differences are normally distributed and the variances of the two populations are equal.
After conducting the test, we can conclude whether there is a significant difference in real gross domestic product per capita between 1988 and 1990. If the null hypothesis is rejected, we can conclude that there is a significant difference between the two time periods. If the null hypothesis is not rejected, we cannot conclude that there is a significant difference between the two time periods.
Complete question: Two of the variables in this file ( rgdpch and rgdp88) measure real Gross Domestic Product (GDP) per capita in 1990 and 1988. Please conduct the appropriate t-test to answer the following question:
Is there statistically significant evidence that per capita GDP in 1988 is different from that of 1990? Please show your results and reasoning to justify your answer.
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