What is the measure of angle o in parallelogram lmno? 35° 75° 105° 155

In this case, the standard error would be standard error = 2.50 / sqrt(41) = 0.342 and the z-score would be z = (5.61 - 5.00) / 0.342 = 1.71

A z-score value is the numerical measured value of the relationship of a value to the mean of a group of values and it is measured in the terms of standard deviations from mean value.

The z-score is measured by formula z=(x- μ)/ a where x is the raw score, μ is the population mean and a is the population standard deviation. So to calculate z-score, we subtract the population mean from the raw score and divide it by the population standard deviation.

standard error = population standard deviation / sqrt(sample size)

standard error = 2.50 / sqrt(41) = 0.342

Next, you would need to calculate the z-score for the observed mean wait time of 5.61 minutes.

z = (observed mean - population mean) / standard error

z = (5.61 - 5.00) / 0.342

z= 1.71

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Christopher's statement "whenever you multiply a whole number by a fraction the product is either greater or less than the whole number" is correct.

A fraction is a way to describe a part of a whole. such as the fraction ¼ can be described as 0.25.

The statement made by Christopher is correct, this is because a fraction is always either greater or lesser than 1. And multiplying a fraction to a whole number will give result either greater or less than the whole number, depending upon the type of fraction it is.

For example let's take the number 100,

Let's take a proper fraction, 2/5. Therefore, the result will be,

100 × (2/5) = 40

Let's take an improper fraction, 7/5. Therefore, the result will be,

100 × (7/5) = 140

Hence, Christopher's statement is correct.

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We insert m and c values inside the slope-intercept form to get a linear equation that expresses the volume of water in the bottle in terms of t:  w = 5t + 5.

Let w be the quantity of water in the bottle after turning on the faucet.

The following points can be drawn from the provided statement:

(t1, w1) = (4, 25)

(t2, w2) = (11, 60)

The equation of a line's slope-intercept form is:

w = mt + c

Put the values to find slope m.

m = (w2 - w1)/(t2 -t1)

m = 60 - 25 / 11 - 4

m = 5

Put m = 5, t = 4 and w = 2 in equation of the line;

w = mt + c

25 = 5(4) + c

c = 5

We insert m and c values inside the slope-intercept form to get a linear equation that expresses the volume of water in the bottle in terms of t:

w = 5t + 5

Thus, the linear equation that models the amount of water in the bottle  is w = 5t + 5.

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The big oh notation for the given algorithm that is T := 0 for i := 1 to n for j := 1 to n t := t + i + j will be O(n).

Big O notation is a type of mathematical notation that expresses how a function limits itself when the argument goes to zero or infinity. Big O Notation is a technique for expressing how time-consuming an algorithm is. As the input increases, it calculates how long it will take to perform an algorithm. In other words, it determines an algorithm's worst-case time complexity. The maximum runtime of an algorithm is expressed using the Big O Notation in data structures.

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The chi-square goodness of fit test assesses whether the observed counts of a categorical variable follow a hypothetical proportion population distribution.

The chi-square fit test of goodness assesses whether the proportions of a category or individual outcome in a sample follow a hypothetical proportion population distribution.

In other words, if you take a random sample, the observed proportions follow the values ​​suggested by theory.

Analysts often use the goodness-of-fit chi-square test to determine whether the proportions of categorical results are equal. Alternatively, the analyst can specify the proportions to include in the test.

Alternatively, this test can assess whether observed results follow a discrete probability distribution, for example, Poisson distribution.

As a hypothesis test, the chi-square test of goodness can be used to infer the entire population based on a sample.

Thus, it is true that the the chi-square goodness of fit test assesses whether the observed counts of a categorical variable follow a hypothetical proportion population distribution.

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Answer:

x = 0.6 , x = 2

Step-by-step explanation:

the absolute value function always gives a positive value, that is

| - a | = | a | = a

the expression inside the bars, however , can be positive or negative, so

9 - 8x = 2x +3 ( subtract 2x from both sides )

9 - 10x = 3 ( subtract 9 from both sides )

- 10x = - 6 ( divide both sides by - 10 )

x = 0.6

Or

- (9 - 8x) = 2x + 3

- 9 + 8x = 2x + 3 ( subtract 2x from both sides )

- 9 + 6x = 3 (add 9 to both sides )

6x = 12 ( divide both sides by 6 )

x = 2

As a check

substitute these values into the equation and if both sides are equal then they are the solutions.

x = 0.6

left side = | 9 - 8(0.6) | = | 9 - 4.8 | = | 4.2 | = 4.2

right side = 2(0.6) + 3 = 1.2 + 3 = 4.2= left side

-------------------------------------------------------

x = 2

left side = | 9 - 8(2) | = | 9 - 16 | = | - 7 | = 7

right side = 2(2) + 3 = 4 + 3 = 7 = left side

the solutions to the equation are x = 0.6 and x = 2

Critical value used to test the claim that the mean number of restaurant employees is less than 15 at the 1% significance level is - 2.431

The square root of the variance is used to calculate the standard deviation, a statistic that gauges a dataset's dispersion from its mean. The variation from the mean of each data point is used to determine the standard deviation, which is equal to the square root of variance.

It is basically the average of the given numbers.

The given data is

Sample Size = n = 38

Sample mean = X = 12.6

Sample Standard deviation = S = 2.4

= n - 1 = 38 - 1 = 37

μ₀ = μ ≥ 15

μ₁ = μ < 15 ( left tailed )

d = 0.01

Hence, Critical value = - 2,431

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The total number of oranges present in the bag was 21.

For the stated question.

Let the total number of oranges in the bag be 'x'.

Total stale oranges = 7.

Thus,

Probability (first orange is stale) = Total stale oranges/ Total oranges.

Probability (first orange is stale) = 7/x

Probability (second orange is stale) = 6/(x - 1).

But, probability to pick two stale oranges is 2/21

7/x . 6/(x - 1) = 2/21

On solving,

x ² - x - 441 = 0

x = 21

Thus, the total number of oranges present in the bag was 21.

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The system of linear equations which has a solution of (1,-10) is y2 and y4

Dependent: There are countless possible solutions to the system. The same lines are depicted on the equation graphs.

Independent: There is only one solution to the problem. The equations' graphs come together at a single point.

Inconsistent: There is no fix for the system.

There are three ways to solve systems of linear equations in two variables: graphing. substitution method. elimination method

line y2 cross line y4 at (1,-1)

Hence the solution is y2 and y4

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Answer:

should be the first one because 12 is the common factor between the two of them(had to be 20 characters long so i could answer your question)

Answer:

The equation is 15x + 2.50y = 800, where x is the number of care packages and y is the number of food satchels. Solving for y, we get y = 32. Therefore, each package contained 32 food satchels.

Step-by-step explanation:

The option that could be the sides of a Right Triangle is 2.5 cm, 6.5 cm, 6 cm   , the correct option is (a) .

In the question ,

it is given that ,

four options are given that have the three sides of the triangle ,

we have to select the sides that forms a right triangle .

If the sides form a right triangle , then

square of the longest side is equal to square of the other two sides .

In option (a) the  sides are given as 2.5 cm, 6.5 cm, 6 cm .

So ,

(6.5)² = 6² + (2.5)²

42.25 = 42.25

Since LHS = RHS ,

So , Yes , the sides given in option (a) forms a right triangle .

Therefore , the correct option is (a) .

The given question is incomplete , the complete question is

Which could be the sides of a right triangle ?

(a) 2.5 cm, 6.5 cm, 6 cm

(b) 2 cm, 2 cm, 5 cm

(c) 1.5 cm, 2.5 cm, 4 cm

(d) 2 cm, 3 cm, 5 cm

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The angles are ∠1=42°

∠2=48°

∠3=90°

∠4=42°

∠5=48°

∠6=132°

∠7=90°

∠8=48°

∠9=90°

∠10=132°

∠11=90°

∠12=90°

∠13=48°

∠14=48°

∠15=90°

∠16=90°

∠17=90°

∠18=48°

∠19=48°

∠20=90°

∠21=48°

∠22=42°

In Euclidean geometry, an angle is the figure formed by two rays, known as the sides of the angle, that have a common termination, known as the vertex of the angle. Angles formed by two rays are located in the plane that contains the rays.

An angle in Plane Geometry is a figure formed by two rays or lines that share a common endpoint. "Angle" comes from the Latin word "angulus," which means "corner." The two rays are referred to as the sides of an angle, while the common endpoint is referred to as the vertex.

In Euclidean geometry, an angle is the figure formed by two rays known as the sides.

∠1=42°

∠1+∠2=90°

∠2=48°

In ΔABF,

∠2+∠3+42°=180°

48°+∠3+42°=180°

∠3=90°

∠4=42°

Now, ∠3+∠4+∠5=180°

90°+42°+∠5=180°

∠5=48°

∠5+∠6=180°

∠6=132°

∠7=90°

∠8=48°

∠7+∠9=180°

∠9=90°

∠10=132°

∠11+∠3=180°

∠11=90°

∠11+∠12=180°

∠12=90°

∠16=∠11=90°

∠12=15=∠90°

∠13=48°

∠14=48°

∠17=90°

∠1+∠17+∠18=180°

42°+90°+∠18=180°

∠18=48°

∠19=48°

Now, ∠19+∠20+42°=180°

∠20=90°

∠21=48°

Now, ∠21+∠22=90°

∠22=42°

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Answer:

B

Step-by-step explanation: It is very simple. All you have to do is to do 350 000 divided by 700 which gives you 500. That's your answer!

If the slope of a basic regression analysis—in which y is the dependent variable and x is the independent variable—is positive, then there must be a positive correlation between x and y.

Regression analysis is a group of statistical procedures used in statistical modeling to determine the associations between a dependent variable and one or more independent variables. A statistical technique that demonstrates the link between two or more variables is regression analysis. The approach examines the connection between a dependent variable and independent variables, often represented in a graph. A statistical method called regression links a dependent variable to one or more independent (explanatory) variables. A regression model can demonstrate whether changes in one or more of the explanatory variables are related to changes in the dependent variable.

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The average rate of change of the function f(x) from x = 1 to x = 2 is, -3.75 when the function f(x)=20(1/4)ˣ.

Given that,

We have to find what is the function f(x)=20(1/4)ˣ average rate of change from x = 1 to x = 2.

We know that,

Average rate of change(A(x)) of f(x) over a interval [a,b] is given by:

A(x)=(f(b)-f(a))/b-a

We get the function:

f(x)=20(1/4)ˣ

Now, the average rate of change from x = 1 to x= 2

At x = 1

Then;

f(1)=20(1/4)¹=5

At x = 2

Then;

f(2)=20(1/4)²=1.25

Substitute these in above formula we have;

A(x)=f(2)-f(1)/2-1=-3.75

Therefore, The average rate of change of the function f(x) from x = 1 to x = 2 is, -3.75 when the function f(x)=20(1/4)ˣ.

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Answer:

g(x)=1/2x+2

Step-by-step explanation:

the coordinates provided here are (2,3) and (6,5)
slope intercept form is g(x)=mx+b

m is slope and b is y intercept

We use slope formula to find slope y2-y1/x2-x1

5-3/6-2

2/4

1/2

Now we can find b by putting the values in

g(x)=1/2x+b

5=1/2(6)+b

5=3+b

-3 -3

2=b

g(x)=1/2x+2

Hopes this helps please mark brainliest

We prove that QR≅SR, using SAS to show triangle PRQ is congruent to triangle PRS. So option B is correct.

In the given question;

Given: PR bisects ∠QPS. PQ=12 units, and PS=12 units.

Prove: QR≅SR

We have to find how we prove QR≅SR.

As we can see that;

PQ = PS

Since PR is bisector.

So PR is common in both triangles PRQ and PRS.

PR=PR

Since PR is bisector.

So ∠PRQ=∠PRS

As we know that if two sides and one angle are congruent, then using the Side-Angle-Side (SAS) Theorem, the both triangle is congruent.

So ∠PRQ≅∠PRS

So QR≅SR

Hence, we prove that QR≅SR, using SAS to show triangle PRQ is congruent to triangle PRS. So option B is correct.

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If x represents the full length of a certain species of newts then, the mean of the sampling distribution and standard deviation are 216, and 0.31 respectively.

Central Limit Theorem for mean: When a random sample of size n is taken from a population with a mean and standard deviation, the sample mean approaches the normal distribution with mean and standard deviation σ/sqrt (n) as the sample size increases.

Sampling distribution of the sample mean:

using, Central Limit Theorem, the mean of the sampling distribution is μ_{x-bar} = 216.

The standard deviation of the population is σ = 3.1 and the sample size is n =103, people

The standard deviation σ/√n= 3.1/√103 =0.31.

As a result, the sample mean for the 103 sample size, following normal distribution has a mean of μ_{x-bar} = 216 and a standard error of μ_{x-bar} = 0.31.

x-bar ≈ N (216, 0.31)

μ_{x-bar}  = 216

σ_{x-bar}  =0.31

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(complete question)

Let X represent the full length of a certain species of newt. Assume that X has a normal probability distribution with a mean of 110.6 inches and a standard deviation of 4.9 inches. You intend to measure a random sample of n = 103. find the mean of the sampling distribution and standard deviation.

Answer:

first this is English

providential

slow congealed

innovative, effectual

more easy to

The solutions to the logarithm equations are;

1)  Log₅3 = 0.6826

2)  Log₅(27/50) = -0.383

How to solve logarithm Equations?

There are different rules of logarithm such as;

Product rule which is; Log a + Log b = Log (ab)

Quotient rule which is; Log a - Log b = Log(a/b)

Power rule which is; Log aˣ = x log a

We are given that;

Log₅2 = 0.4308

Log₅27 = 2.0478

We know that 27 = 3³. Thus;

Log₅27 = Log₅3³

Using power rule, we have;

Log₅3³ = 3Log₅3

Thus;

Log₅27 = 3Log₅3 = 2.0478

1) We want to solve Log₅3

We have;

3Log₅3 = 2.0478

Thus;

Log₅3 = 2.0478/3 = 0.6826

2)  Log₅(27/50)

Using quotient rule, we have;

Log₅27 -  Log₅50

This can also be expressed as;

Log₅3³ - Log₅ (25 * 2)

= 3Log₅3 - [2Log₅5 + Log₅2]

= 2.0478 - 2 - 0.4308

= -0.383

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No the results did not deviate significantly from what would be expected due to chance.

The standard deviation is a statistic that expresses how much variance or dispersion there is in a group of numbers. While a high standard deviation suggests that the values are dispersed throughout a larger range, a low standard deviation suggests that the values tend to be near to the established mean. The term "standard deviation" (or "") refers to a measurement of the data's dispersion from the mean. A low standard deviation implies that the data are grouped around the mean, whereas a large standard deviation shows that the data are more dispersed.

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The two inequalities that models the situation are as follows:

6x + 14y ≤ 65

x + y > 8

In mathematics, an inequality is a relation which makes a non-equal comparison between two numbers or other mathematical expressions.

Inequalities are mathematical expressions involving the symbols >, <, ≥ and ≤.

Marta buys x candles and y books at a store.

Therefore,

Hence, the inequalities are as follows:

6x + 14y ≤ 65

x + y > 8

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The goal is to determine whether or not the following binary operations are closed.

A. Subtraction of positive integers: Under normal substation operation, a set of positive integers is not near. Since 1∈Ζ⁺ and 2∈Ζ⁺ but (2-1) = ₋1∉Z⁺.

B. A division of nonzero integers: Non-zero integer set Z/{0} is not closed under the operation. Since 1∈Z/{0} and 2∈ Z/{0} but 1/2 ∉ Z/{0}.

C.  Function composition of polynomials with real coefficients: The set of polynomials with real coefficients is closed when using the typical binary operator. Use the obvious conclusion that a polynomial is a combination of two polynomials [tex]f(x)[/tex] and [tex]g(x)[/tex]. Since every polynomial coefficient is real, every polynomial's composition will also have real coefficients.

D. The multiplication of 2×2 matrices with integer entries: Under the action of standard matrix multiplication Μ₂ₓ₂ (Z), the collection of matrices with integer elements, is close.

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Answer:

f(3) = 5

f(8) = 3

f(-1) = 0

Step-by-step explanation:

Just plug in the number from the parentheses into the inequalities and whichever makes the inequality true plug into that equation so for example f(3) = ?

first plug 3 into the inequalities: 3 ≤ 0, 0 < 3 ≤ 5, 3 > 5

then find the one that's true which is: 0 < 3 ≤ 5  

then plug into the equation that corresponds to that inequality: 2(3) - 1 → 6 - 1 = 5

P(X = 4, Y = 2) = 0.055131

P(X = Y) = 0.35607

From the information given:

X represent no of Canon SLR

The PMF is given as:

X   :    0         1        2           3        4

p(x) :  0.1       0.2   0.3     0.25   0.15

p = P(customers that purchase the camera & also purchase an extended warranty.

As a result, the conditional distribution Y provided X approaches a Binomial distribution with n = x and p = 0.55 as the parameter.

[tex]\frac{Y}{X}[/tex] ~ Bin ( n= x , p =0.55) y

     = 0.1 ........ x and X = 0,1,2,3,4.

The condition probabilities Y given X is:

[tex]P (\frac{Y = 0}{X = 0} ) =1[/tex]

[tex]P (\frac{Y = 0}{X = 1} ) = 0.45 and P (\frac{Y = 1}{X = 1} ) =0.55[/tex]

[tex]P (\frac{Y = 0}{X = 2} ) = 0.2025 and P (\frac{Y = 1}{X = 2} ) =0.495, P (\frac{Y = 2}{X = 2} ) =0.3025[/tex]

[tex]P (\frac{Y = 0}{X = 3} ) = 0.091125 and P (\frac{Y = 1}{X = 3} ) =0.334125, \\P (\frac{Y = 2}{X = 3} ) =0.408375 and P (\frac{Y = 3}{X = 3} ) = 0.166375[/tex]

[tex]P (\frac{Y = 0}{X = 4} ) = 0.0.041006 and P (\frac{Y = 1}{X = 4} ) =0.0.200475, P (\frac{Y = 2}{X = 3} ) =0.367538[/tex]

[tex]P (\frac{Y = 3}{X = 4} ) = 0.299475 and P (\frac{Y = 4}{X = 4} ) =0.091506[/tex]

Now, the joint P.D (probability Dist.) of X & Y is expressed as:

[tex]P (\frac{Y = y}{X = x} ) = P (\frac{Y = y. X = x}{X = x} )[/tex]

[tex]P( X = x , Y = y) = P(\frac{Y = y}{X =x} ) * P(X =x)[/tex]

The Joint P.D is;

                      Y                                                                      Total

             0              1                    2             3          4

X     0     0.1            0                  0              0         0                  0.1

      1      0.09        0.11              0               0         0                 0.2

  2    0.06075  0.1485      0.09075          0         0                 0.3

  3    0.022781 0.083531 0.102094   0.041594  0                0.25

  4    0.006151  0.030071  0.055131  0.044921  0.013726    0.15

Total  0.279682 0.372103  0.247974  0.086515 0.013726       1

(a)

P(X=4,Y=2)

From the table above:

P(X=4,Y=2)

 = 0.055131

(b)

P(X= Y)

= (P = 0 , Y = 0) + P( X =1, Y =1) + P( X=2, Y=2) + P(X=3,Y=3) + P(X=4,Y=4)

= 0.1 + 0.11 + 0.09075 + 0.041594 + 0.013726

= 0.35607

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Ordinary points: Point an is a regular point whenever functions p1(x) having p0(x) are logical at x = a.

Singular points: There are two types of singular points: regular and irregular.

Whenever functions p1(x) with p0(x) are analytical at x = a, point an is an ordinary point.

Use the steps below to get a series solution centered on a regular solitary point x0. enter ∞ n=0 cn(x − x0)n+rinto the formula.

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Answer:

760ft

Step-by-step explanation:

Use the formula: πr^2h where r = radius(diameter/2) and h = height

radius: 11/2 = 5.5

pi: 3.14

Height: 8

3.14*5.5^2*8

= 759.88

Rounded: 760 ft

If she can play, the coach estimates they will score 78 points. If she is not able to play, the coach estimates they will score 62 points. The team doctor estimates there is a 60-40 chance she will play.

Therefore, P(x) Outcome Expected Value: 71.6 %

Given in the question:

If she is playing, estimate score is 78 points.

If she is not playing, estimated score is 62 points.

chances : 60% to 40%

Therefore, the expected outcome value is :

P(X) = 78 × 60% + 62× 40%

       = 71.6%

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