Detemine whether the graph shown could represent a variable with a nomal distribution. Explain your reasoning. If the graph appears to represent a normal distribution, estimate the meanand standard deviation.4245485154Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice.O A. The graph could represent a variable with a normal distribution because the curve is symmetric and bell-shaped. Its mean is approximately, and its standard deviation is approximately(Round to one decimal place as needed.)O B. The graph could not represent a variable with a normal distribution because the graph is skewed to the left.O C. The graph could not represent a variable with a normal distribution because the curve crosses the x-axis.O D. The graph could not represent a variable with a normal distribution because the curve is constant.O E. The graph could not represent a variable with a normal distribution because the curve has two modes.O F. The graph could not represent a variable with a normal distribution because the graph is skewed to the right.

Answered: Image /qna-images/answer/beea28b8-a312-477c-85f0-d7a6d5b5d9ee.jpg

Answered: Detemine whether the graph shown could…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Determine whether the graph shown could represent a variable with a normal distribution. Explain your reasoning. If the graph appears to represent a normal distribution, estimate the mean and standard deviation. 4 ..... Select the correct choice below and, if necessary, fill in the answer boxes to complete your choice. O A. The graph could represent a variable with a normal distribution because the curve is symmetric and bell-shaped. Its mean is approximately and standard deviation is approximately (Round to one decimal place as needed.) O B. The graph could not represent a variable with a normal distribution because the curve crosses the x-axis. O C. The graph could not represent a variable with a normal distribution because the curve has two modes. O D. The graph could not represent a variable with a normal distribution because the graph is skewed to the right. O E. The graph could not represent a variable with a normal distribution because the graph is skewed to the left. O F. The…
Answer true or false to each statement. Give reasons for your answers. a. Two variables that have the same mean and standard deviation have the same distribution.b. Two normally distributed variables that have the same mean and standard deviation have the same distribution.
The amount of caffeine in a sample of five-ounce servings of brewed coffee is shown in the histogram. Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. Click the icon to view the histogram. Complete the table. Round values to the nearest tenth as needed. Graph/chart f Midpoint x xf 70.5 Ay 30- 92.5 26 25- 114.5 136.5 20- 158.5 15- 12 Ef = Exf = 10- Find the mean of the data set. 5- X = (Round to the nearest tenth as needed.) 48.5 70.5 92.5 114.5 136.5 158.5 Complete the table. Round values to the nearest tenth as needed. Midpoint x (x-x)? (x-x)?f X-X 70.5 Print Done 92.5 114.5 136.5 158.5 (x-x)?r= ] of
The distribution of the number of hours that a random sample of people spend doing chores per week is shown in the pie chart. Use 32 as the midpoint for "30+ hours." Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. Click the icon to view the pie chart. First construct the frequency distribution. Class Frequency, f 0-4 5-9 10-14 15-19 20-24 25-29 30+ Find an approximation for the sample mean. X= (Type an integer or decimal rounded to the nearest tenth as needed.) Find an approximation for the sample standard deviation. S= (Type an integer or decimal rounded to the nearest tenth as needed.) Weekly Chore Hours 0-4 hours (3 people) 5-9 hours (14 people) 10-14 hours (21 people) 15-19 hours (18 people) 20-24 hours (17 people) 25-29 hours (11 people) 30+ hours (7 people) - X -
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.05 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). E Click the icon to view the data. In this example, Hg is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test? O A. Ho: Ha = 0 H,: Ha #0 O B. Ho: Ha #0 H1: Hd =0 O C. Ho: Ha #0 O D. Ho: Ha = 0 H1: Hd 0
Determine whether the graph shown could represent a variable with a normal distribution. Explain your reasoning. If the graph appears to represt a normal distribution, estimate the mean and standard deviation.
The distribution of the number of hours that a random sample of people spend doing chores per week is shown in the pie chart. Use 32 as the midpoint for "30+ hours." Make a frequency distribution for the data. Then use the table to estimate the sample mean and the sample standard deviation of the data set. W Click the icon to view the pie chart. First construct the frequency distribution. Weekly study hours Class Frequency, f 0-4 I 0-4 hours (4 people) 5-9 1 5-9 hours (12 people) O 10-14 hours (23 people) O 15-19 hours (21 people) O 20-24 hours (16 people) O 25-29 hours (14 people) O 30+ hours (5 people) 10-14 15-19 20-24 25-29 30+ Print Done OOOOD OD
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