Exhibit 6-3 The weight of football players is normally distributed with a mean of 200 pounds and a standard deviation of 25 pounds. Refer to Exhibit 6-3. What is the minimum weight of the middle 95% of the players? a. 196 b. 151 c. 249 d. None of the answers is correct.

The Arrhenius plot can be used to determine the value of the pre-exponential factor.

The slope of the Arrhenius plot can be used to find the activation energy. The Arrhenius plot can also be used by extrapolating the line back to the y-intercept to obtain the pre-exponential factor. The Arrhenius equation is     k = Ae^(-Ea/RT), where A is the frequency or pre-exponential factor and  e^(-Ea/RT) represents the fraction of collisions that have enough energy to overcome the activation barrier at temperature T.

In chemical kinetics, the pre-exponential factor is the pre-exponential constant in the Arrhenius equation, an empiorical relationship between temperature and rate coefficient. The pre-exponential factor is a constant that can be derived experimentally or numerically. It is also called frequency factor.

In chemical kinetics, an Arrhenius plot displays the logarithm of a reaction rate constant, plotted against reciprocal of the temperature. Arrhenius plots are often used to analyze the effect of temperature on the rates of chemical reactions. Arrhenius plots show that reaction rates are inversely proportional to temperature changes.

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Answer:

Step-by-step explanation:

Yes it is because if the amount of Pavers change so does the cost.

The hose will take 28.27 minutes to fill the second aquarium.

Given,

Rectangular Aquarium - 1

Length = 12 inches

Width = 13 inches

Height = 14 inches

Time taken by a hose to fill the aquarium = 3 minutes

Rectangular Aquarium - 2

Length = 21 inches

Width = 28 inches

Height = 35 inches

We have to find the time taken by the same hose to fill the aquarium 2.

Volume of Aquarium 1 = length × width × height

= 12 × 13 × 14 = 2184 inch³

To fill 2184 inch³, the hose will take 3 minutes.

Now,

Volume of Aquarium 2 = length × width × height

= 21 × 28 × 35 = 20580 inch³

Here,

The time taken by the hose to fill a volume of 20580 inch³;

= 3 × 20580 / 2184 = 28.27 minutes

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Answer:

Step-by-step explanation:

The odds arent favorable its a 2/11 chance of happening

Answer:

Step-by-step explanation:

(3, 12721) and (5,10835)

(10835 -12721) - (5-3)

-1886/2 = -943

No, this sample is not representative of all high school seniors in the US as the sample is selected by an optional web survey, which is not a good sampling technique as non-response bias is introduced.

90% confidence interval for a population proportion.

= 0.55 ± 1.645 *  √0.55(1-0, 55)/1509

= 0.55 ± 0.0211

= (0.5289, 0.5711)

We are 90% confident the true proportion of high school seniors who are fairly certain they will participate in a study abroad program in college lies between 52.89% to 57.11%b

90% confidence means if we select 100 samples, 90 of them will have their sample statistic within the 90% confidence interval. Or otherwise, we can be 90% certain that the population parameter will fall within the 90% confidence interval.

Yes, as the lower limit of the confidence interval is greater than 50%, there is strong evidence to support the claim that the majority of high school seniors are fairly certain that they will participate in a study abroad program in college.

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The quantity can also be expressed as a function equation in cups of coffee per hour is; f(x) = 5x

We are told that a gas station is open for the 365 days of the year and 24 hours each day.

Thus,

Total number of hours in the year = 365 * 24 = 8760 hours

Now, the number of cups they served for the year = 40000 cups

Now, the rate of cups per hour = 40000/8760 = 4.566 ≈ 5 cups per hour

The quantity can also be expressed as a function equation in cups of coffee per hour; f(x) = 5x

where;

x is the number of hours

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The correct answer for the question that is being presented above is this one: "D.The distributions are somewhat similar; C.The distributions are similar." Data Set 1 has a mean of 84 and a MAD of 6. Data Set 2 has a mean of 78 and a MAD of 8. You conclude about the two distributions: .The distributions are somewhat similar; The distributions are similar.

Answer:

O Your friend. If f is a function, then the line is not vertical.

Step-by-step explanation:

If you are given that the equation is a linear function, it can't have any undefined values.

Answer:

Your friend. If ƒ is a function, then the line is not vertical.

Step-by-step explanation:

I just had this question, and I solved it and got it right, see the picture

Answer:

y ≈ 15.9 cm

Step-by-step explanation:

using the tangent ratio in the right triangle

tan53° = [tex]\frac{opposite}{adjacent}[/tex] = [tex]\frac{y}{12}[/tex] ( multiply both sides by 12 )

12 × tan53° = x , that is

x ≈ 15.9 (to 1 decimal place )

The fundamental regression assumption that the error terms are independent of one another is broken when substantial autocorrelation is shown following the estimation of a regression model. Here option C is the correct answer.

The two error factors must be somewhat co-correlated in order for there to be autocorrelation. Having it indicates that the correlation between the two error factors is not equal to zero. It goes against the fundamental tenet of the traditional linear regression approach.

Autocorrelation measures the relationship between a variable's current value and its historical values. A perfect positive correlation is represented by an autocorrelation of 1, whereas a perfect negative correlation is represented by an autocorrelation of 1.

An explanation of how one or more independent variables relate to the target variable, response variable, or dependent variable that the regression model predicts.

Complete question:

When severe autocorrelation is indicated after a regression model has been estimated, which underlying regression assumption is violated? A - The dispersion of population data points around the population regression line remains constant everywhere along the line

B - The population of values is normally distributed about the population regression line.

C - Heteroscedasticity

D - The error terms are independent of each other.

E - A linear relationship exists between X and Y in the population

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Answer:

Step-by-step explanation:

The distance of the triathlon, given the time Ingrid spent swimming, biking, and running, is  61.5 miles

To find the distance of the triathlon, find the distance of the individual events which are the running, swimming, and biking. Then sum these distances up to find the triathlon distance that Ingrid ran.

The distance for swimming:
= Rate x Number of hours

= 3 x 0.5 hours

= 1.5 miles

The distance for biking:

= 12 x 3

= 36 miles

The distance for running:
= 6 x 4

= 24 miles

The triathlon distance is:

= 1.5 + 36 + 24

= 61.5 miles

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Answer:

243 inches to the 3 power

Step-by-step explanation:

Reject this null hypothesis because the p-value (0.0523) is lower than the significance level (0.10) in this case.

Let p represent the fraction of the population.

Taking into account the provided data, we have

Null hypothesis: H0 : p ≤ 0.35.

Alternative hypothesis: H1 : p > 0.35, the test is a right-tailed test since the alternative is right-tailed;

For the stated question-

n = 1000; p' = 0.42.

Test statistics for this sample proportion:

z = (p' - p) / √p(1 - p)/n

Put the values-

z = (0.42' - 0.39) / √0.39(1 - 0.39)/1000

z = 1.94

P-value for this right tailed test is;

P(z > 1.94) = 0.0523

Therefore reject this null hypothesis because the p-value (0.0523) is lower than the significance level (0.10) in this case.

We draw the conclusion that we have enough data to back up the company's claim at the 0.10 level.

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The value of y in the intersected lines is 80.

When lines intersect, angle relationships are formed such as vertically opposite angles, linear angles, angles on a straight line etc.

Therefore, the value of y in the angles can be found as follows:

10y - 12 = 3x + 29 (vertically opposite angles)

vertically opposite angles are congruent.

Hence,

10y - 12 = 3x + 29

10y - 3x = 41

6x - 3 + 10y - 12 + 37 = 180 (sum of angles on a straight lines)

6x + 10y = 180 + 3 + 12 - 37

6x + 10y = 158

combine the equation

10y - 3x = 41

10y + 6x = 158

9x = 117

x = 117 / 9

x = 13

6(13) + 10y = 158

10y = 158 - 78

10y = 80

y = 80 / 10

y = 8

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According to the image, if U is simply connected, then so V is also simply connected as U and V are conformally equivalent.

If an analytic map f: U V is 1-1 and onto, then two open sets U and V in C are said to be conformally comparable. A conformal equivalence between U and V is the name given to such a f. The conformal equivalence between V and U is then f1(w). A function called conformal mapping, which is defined on the complex plane, changes a given curve or set of points on a plane while keeping each of the curve's angles. For resolving physics and engineering issues with awkward geometries that may be described as functions of a complex variable, conformal mappings are useful. The analyst can change the awkward geometry into a lot more useful one by selecting the right mapping.

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The probability is 0.04.

Define probability sampling.

The sampling probability of an element or member of the population in statistics, in the theory relating to sampling from finite populations, is its likelihood of being included in the sample during the drawing of a single sample.

Probability sampling refers to the selection of a sample from a population when this selection is based on the principle of randomization, that is, random selection or chance. When compared to non-probability sampling, probability sampling is more difficult, time-consuming, and typically more expensive.

Solution Explained:

Given,

x = 7, n = 10, p = 0.85 and q = 0.15

Using the formula,

P(X=6) = [tex]_{n}C_{x} (0.85)^{n} (0.15)^{x}[/tex]

           = [tex]_{10}C_{6} (0.85)^{6} (0.15)^{4}[/tex]

           = 210(0.377)(0.0005)

           = 0.04

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Answer:

y = 0.8x

Step-by-step explanation:

Parallel lines have the same slope but different y-intercepts

Bottom line slope can be found by noting that it passes through points

(0, -3.2) and (4,0)

Then find the difference in y values which is called  the rise

Find the corresponding difference in x values called the run

rise/run = slope

For the bottom line
Rise = 0 - (-3.2) = 3.2

Run = 4 - 0 =4

So slope m = 3.2/4 = 0.8

Slope of top line is also 0.8

Since it passes through origin there is no y-intercept

So equation of top line is simply
y = 0.8x

The 95% confidence interval for the mean tip percentage is (3.49, 4.22)

Confidence interval is the two-sided limit consisting of the lower limit and the upper limit and the value between the two limits is the parameter value.

For this question, we have given a graph of the data, so we only need to see the data and interpret that to answer the question.

First, since confidence interval is 95% so we must see 2.5% limit for two side or equal to 0.025.

For the lower limit, see upper value of dot plot then see separate lowest 0.025 of data is 3.491 or 3.49.

For the upper limit, see lower value of dot plot then see separate highest 0.025 of data is 4.224 or 4.22.

Thus, the 95% confidence interval is (3.49, 4.22) for the mean tip percentage.

Your question is incomplete, but most probably your full question was (image attached)

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Answer:

c) 2 2 over 5 = 2 2/5

Step-by-step explanation:

Forming the equation,

→ (1/3)b = 4/5

Now the value of b will be,

→ (1/3)b = 4/5

→ b = (4/5) ÷ (1/3)

→ b = (4/5) × (3/1)

→ b = (4 × 3)/(5 × 1)

→ b = 12/5

→ [ b = 2 2/5 ]

Hence, value of b is 12/5.

The diameter of the tree increased by 0.27in. (approximately) and the change in tree's cross section area is 27.5 in.².

As given in the question,

Diameter of the tree 'd' = 14in.

Radius = 7in.

Circumference of the tree = πd

                                            = 3.14 × 14

                                            = 43.96 in.

New circumference increased by 4 in. = 43.96 + 4

                                                                = 47.96in.

New diameter = 47.96 / 3.14

                        = 15.27 in. (approximately)

New Radius ≈ 7.6 in.

Increase in diameter= 15.27 - 15

                                  = 0.27 in.

Area of cross section original tree = 3.14 × 7²

                                                         = 153.9 in.²

New area of cross section original tree = 3.14 × 7.6²

                                                                 = 181.4 in.²

Change in area = 181.4 - 153.9

                          = 27.5 in.² ( approximately)

Therefore, increase in diameter is 0.27in. and change in cross - section area is 27.5 in.²

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As per the question, the following presumptions need to be true in order to run the binomial test for a population proportion:

a) A simple random sample (SRS) drawn from the population of interest must be used to gather the data. The sample's observations must be unrelated to one another. A binary answer variable is required (i.e., it can only take on two possible values, such as "success" and "failure").

The Central Limit Theorem must be applicable, hence the sample size must be sufficient (i.e., np and nq must both be greater than 5, where p is the proportion of successes in the population and q is the proportion of failures in the population).

From the facts given, it is unclear whether these presumptions are true. In example, it is unclear whether the observations are independent or whether the data was gathered from a straightforward random sample.

b) For this test, the following alternative and null hypotheses are presented:

The actual percentage of female students at ACME University is 0.64, which is null. Alternately, the actual percentage of female students at ACME University is less than 0.64.

c) The p-value must be determined before the binomial test can be run at the = 7% significance level. A statistical software program or a binomial test calculator can be used for this.

The p-value for this test is 0.05309 assuming the binomial test assumptions are met. This suggests that there is a 5.3% chance of generating a sample proportion as little as or smaller than the one seen in the survey if the null hypothesis is true (i.e., the true proportion of women among ACME University students is 0.64).

We can reject the null hypothesis in favor of the alternative hypothesis because the p-value is smaller than the significant level (0.05309 0.07). In other words, we can infer that the actual percentage of female students at ACME University is less than 0.64.

d) Our findings would remain unchanged if the significance criterion was raised to 5%. Because the p-value is still below the significance level (0.05309 0.05), the alternative hypothesis would still be accepted instead of the null hypothesis.

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Answer:

It would be the third option, because the square root of 85 is 9.22, and 28/3 is 9.33 repeated.

Hope this helps, have a great day! :D

Step-by-step explanation:

The expression that has a value of 40 when x = 10.8. is (C) (x² ÷ 18) + 33.52

The complete question is added at the end of this solution

From the question, we have the following expressions that can be used in our computation:

A 4,320 ÷ x

B 288/x + 16

C (x² ÷ 18) + 33.52

D (1,752 ÷ x) – 162/29

F x/12 + 36

The value of x is given as

x = 10.8

So, we evaluate the expressions at this value of x

Expression A: 4,320 ÷ x

4,320 ÷ 10.8 = 400 --- false

Expression B 288/x + 16:

288/10.8 + 16 = 42.7 --- false

Expression C (x² ÷ 18) + 33.52:

(10.8² ÷ 18) + 33.52 = 40 --- true

Expression D (1,752 ÷ x) – 162/29:

(1,752 ÷ 10.8) – 162/29 = 156.6 --- false

Expression F x/12 + 36:

10.8/12 + 36 = 36.9 --- false

Hence, the only expression is (x² ÷ 18) + 33.52

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Complete question

Select all the expressions that have a value of 40 when x = 10.8.

A 4,320 ÷ x

B 288/x + 16

C (x² ÷ 18) + 33.52

D (1,752 ÷ x) – 162/29

F x/12 + 36

Answer:

(28-16)

Step-by-step explanation:

x=7

4x-16

If x is 7

then it is 4x7 = 28

Therefore we can say 28-16 is our final answer.

Thank you.

In order to estimate the population proportion within 5%, a sample size of at least 384 is needed.

The number of individuals or observations included in a study is referred to as the sample size. Two statistical properties are influenced by the sample size: 1) The accuracy of our estimates, and 2) The ability to draw conclusions from the study.

This can be calculated using the formula:

n = (z^2 * p * (1-p)) / (e^2)

where z is the z-score corresponding to a 95% confidence level, p is the estimated proportion of people in favor of legalizing marijuana, and e is the margin of error (5%).

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The value of ' a 'indicating no association between gender and voting pattern for the people in the sample is 500.

A sample is a result of a random experiment. We sample a random variable when we select a specific value from among its possible possibilities. A exact value is that of a sample. The potential values and likelihood of each are determined by the random variable's probability distribution. They should be picked at random from a broader group or population in order to assist you understand more about the population as a whole. Samples are employed in statistical testing when population sizes are too big for all prospective participants or observations to be included in the test.

Here,

Considering Split ticket,

a + b = 600  ---(1)

Considering No Split ticket,

c + d = 400    ---(2)

Considering Men,

a + c = 800      ---(3)

Considering Women,

b + d = 200       ---(4)

Applying (1) - (4),

a + b -  b - d= 600 - 200

a - d = 400    ---- (5)

Applying (2) - (4),

c + d - b - d = 400- 200

c - b = 200  ----(6)

a - c = 200 --- (7)

Applying (3) + (7)

2a = 1000

a = 500

For those in the sample, the value of "a" showing there is no correlation between gender and voting behavior is 500.

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The first is an ordered list of integers, the second is an ordered list of integers, and the third is an unsorted list of texts in JAVA. (Refer to the coding shown below.)

In order to have as few implementation dependencies as feasible, Java is a high-level, class-based, object-oriented programming language.

Java is an object-oriented, cross-platform programming language (OOP).

JavaScript, a scripting language used to build dynamic web pages, should not be confused with it.

Java is one of the most widely used programming languages in the world because of its dependability and simplicity.

So, the generic class needed to compare any kind of data structure is created by the Java code that follows.

Both integers and strings were employed in three different test situations.

The first is a list of integers in ascending order, the second is a list of integers in descending order, and the third is a list of texts that are not sorted.

The image below that is attached shows the results.

import java.util.Scanner;

class Brainly {

  public static void main(String[] args) {

      Scanner in = new Scanner(System.in);

      System.out.println("Order: " + checkOrder(10, 22, 51, 53));

      System.out.println("Order: " + checkOrder(55, 44, 33, 22));

      System.out.println("Order: " + checkOrder("John", " Gabriel", "Daniela", "Zendaya"));

  }

  public static <E extends Comparable<E>> int checkOrder(E var1, E var2, E var3, E var4) {

      E prevVar = var1;

      if (var2.compareTo(prevVar) > 0) {

          prevVar = var2;

      } else {

          if (var3.compareTo(prevVar) < 0) {

              prevVar = var3;

          } else {

              return 0;

          }

          if (var4.compareTo(prevVar) < 0) {

              return 1;

          }  else {

              return 0;

          }

      }

      if (var3.compareTo(prevVar) > 0) {

          prevVar = var3;

      }

      if (var4.compareTo(prevVar) > 0) {

          return -1;

      }

      return 0;

  }

}

Therefore, the first is an ordered list of integers, the second is an ordered list of integers, and the third is an unsorted list of texts in JAVA. (Refer to the coding shown below.)

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