Since �<30 , then determine whether the box plot of salaries contains any outliers. 7580859095100105Salary[Graphs generated by this script: setBorder(15); initPicture(75,105,-3,4);axes(5,100,1,null,null,1,'off');text([87.115,-3],"Salary");line([78.28,2],[78.28,4]); rect([87.85,2],[98.375,4]); line([90.75,2],[90.75,4]);line([102.51,2],[102.51,4]); line([78.28,3],[87.85,3]); line([98.375,3],[102.51,3]);] There aren't outliers from the box plot. There are outliers from the box plot. Note: Without being given that the population is normally distributed, and given a sample less than 30, we are required to verify that there are no outliers by plotting a box plot and a normal probability plot. Test the claim: What are the null and alternative hypotheses? �0: �1: Based on the hypotheses, calculate the following. Round to four decimal places. Test Statistic =
Since �<30 , then determine whether the box plot of salaries contains any outliers. 7580859095100105Salary[Graphs generated by this script: setBorder(15); initPicture(75,105,-3,4);axes(5,100,1,null,null,1,'off');text([87.115,-3],"Salary");line([78.28,2],[78.28,4]); rect([87.85,2],[98.375,4]); line([90.75,2],[90.75,4]);line([102.51,2],[102.51,4]); line([78.28,3],[87.85,3]); line([98.375,3],[102.51,3]);] There aren't outliers from the box plot. There are outliers from the box plot. Note: Without being given that the population is normally distributed, and given a sample less than 30, we are required to verify that there are no outliers by plotting a box plot and a normal probability plot. Test the claim: What are the null and alternative hypotheses? �0: �1: Based on the hypotheses, calculate the following. Round to four decimal places. Test Statistic =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A hospital recruiting company for doctors is conducting a study to determine whether the average doctor's salary (in thousands of dollars) is significantly more than $88 thousand dollars. A random sample of 24 doctors' salaries (in thousands of dollars) is given in the table. Test the hospital recruiting company's claim using a 1% level of significance.
Salary (in thousands of dollars)
90.52 | 89.34 | 91.76 | 87.85 | 90.98 |
102.51 | 100.69 | 91.65 | 93.57 | 83.34 |
88.9 | 100.33 | 99.31 | 90.35 | 86.97 |
97.44 | 86.71 | 99.94 | 87.85 | 89.41 |
99.69 | 78.28 | 87.63 | 96.32 |
Preliminary:
- Since �<30 , then determine whether the box plot of salaries contains any outliers.
7580859095100105Salary[Graphs generated by this script: setBorder(15); initPicture(75,105,-3,4);axes(5,100,1,null,null,1,'off');text([87.115,-3],"Salary");line([78.28,2],[78.28,4]); rect([87.85,2],[98.375,4]); line([90.75,2],[90.75,4]);line([102.51,2],[102.51,4]); line([78.28,3],[87.85,3]); line([98.375,3],[102.51,3]);]
- There aren't outliers from the box plot.
- There are outliers from the box plot.
Note: Without being given that the population is normally distributed, and given a sample less than 30, we are required to verify that there are no outliers by plotting a box plot and a normal probability plot.
Test the claim:
- What are the null and alternative hypotheses?
�0:
�1: - Based on the hypotheses, calculate the following. Round to four decimal places.
Test Statistic =
�-value =
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