**Problem Statement:**Assume that the population is normally distributed and that the sample has been randomly selected to test the given claim.4) Heights of men aged 25 to 34 have a standard deviation of 2.9. Use a 0.05 significance level to test the claim that the heights of women aged 25 to 34 have a different standard deviation. The heights (in inches) of 16 randomly selected women aged 25 to 34 are listed below. Use the traditional method of testing hypotheses.**Data:**62.13, 65.09, 64.18, 66.72, 63.09, 61.15, 67.50, 64.65 63.80, 64.21, 60.17, 68.28, 66.49, 62.10, 65.73, 64.72 **Tasks:**(a) **Set up the null hypothesis and alternative hypothesis and indicate the claim.**(b) **Calculate the test statistic.** Round to three decimal places.(c) **Find the critical value(s).** Draw a sketch of the distribution curve and indicate the significance level and the critical value(s) on the graph.(d) **Make a decision about the null hypothesis.** Be sure to explain how you make the decision.(e) **Draw a conclusion about the original claim.** **Instructions for the Diagram:**(c) When drawing a sketch of the distribution curve:- Label the x-axis with the distribution of the test statistic.- Mark the critical value(s) according to the significance level (0.05).- Shade the area representing the rejection region(s).- Indicate the critical value(s) on the curve.

Answered: Assume that the population is normally…

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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A primary measure of dispersion for sample data is the sample standard deviation, s. Choose the best option to explain what the meaning of the sample standard deviation is, in general. A. The distance between one observation and the mean. B. The average distance of an observation from the middle of the distribution. C. The average distance between observations in the sample. D. The distance between the third and first quartiles.
In order to set rates, an insurance company is trying to estimate the number of sick days that full time workers at an auto repair shop take per year. A previous study indicated that the standard deviation was 2.4 days. How large a sample must be selected if the company wants to be 95% confident that the true mean differs from the sample mean by no more than 1 day? 40 29 17 23
State the hypotheses and identify the claim. Compute the test statistic Find the P-value. Make the decision. Write the conclusion. Assume all populations are normally distributed. Test all claims at 0.05 . Do male and female college students have the same distribution of living arrangements? Suppose that 250 randomly selected male college students and 300 randomly selected female college students were asked about their living arrangements. The results are in the table. Test the claim that male and female college students have the same distribution of living arrangement. Dormitory Apartment With Parents Other Males 72 84 49 45 Females 91 86 88 35
Can you help please?
HELP PLEASE!! Thank you :) Options for C. And D. C. 1. Private/Public 2. Standard deviation of / Mean. 3. Smaller/Larger D. 1. Private/public. 2. Standard deviation of/Mean. 3. Larger/Smaller
PLEASE ANSWER 36 to 39 ONLY. Please asap.
Hello, I need help with part e and f. I attached a photo of the data set and questions e and f. I calculated the sample mean in excel and got 60,143. For the sample standard deviation, I got 10,462.38.
Suppose that you want to perform a hypothesis test for a population mean. Assume that the population standard deviation is unknown and that the sample size is relatively small. In each part, the distribution shape of the variable under consideration is given. Decide whether you would use the t-test, the Wilcoxon signed-rank test, or neither. a. Triangular b. Symmetric bimodal c. Left skewed
a. Find the mean, median and mode. b. If the value 15.75 was incorrectly written as 45.75, what measure of central tendency will be affected? Support your answer. c. Compute for the semi-interquartile range,absolute deviation, variance and standard deviation of test.
please answer d, e, f
The data in the accompanying table give the weights (in g) of randomly selected quarters that were minted after 1964. The quarters are supposed to have a median weight of 5.670 g. Use the sign test and a 0.01 significance level to test the claim that the median is equal to 5.670 g. Do quarters appear to be minted according to specifications? Click the icon to view the data. What are the null and alternative hypotheses? O A. Ho: Median weight = 5.670 g H₁: Median weight 5.670 g More Info OB. Ho: Median weight ≤ 5.670 g H₁: Median weight = 5.670 g O D. Ho: Median weight = 5.670 g H₁: Median weight # 5.670 g 0 Post-1964 Quarters 5.5863 5.5764 5.6582 5.5649 5.5844 5.7402 5.7367 5.6057 5.5995 5.6165 5.6448 5.5974 5.6609 5.6363 5.6352 5.5986 5.5797 5.5501 5.6238 5.6462 5.6423 5.7021 5.5481 5.7078 5.6055 5.5324 5.7417 5.6776 5.5924 5.5691 5.5666 5.7287 5.6312 5.6017 5.6626 5.6436 5.6634 5.6132 5.5441 5.6363 -
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