Answered: Question 36: Based on the calculated…

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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Question

Please use the following information to answer questions 36-39:

A researcher is testing the effect of a new flu vaccine on absenteeism from work. A sample of n = 9 employees are randomly selected from the normally distributed population and given the vaccine; then, the researcher measures how many times they were absent in the subsequent year. If the mean number of absences in the entire organization (i.e., in the population) are 4 per year, can the researcher conclude that the vaccine had an impact on absenteeism, and if so, how large was the effect? Use an α of .05. Be sure to show all 5 steps.

Absences: 2 3 2 1 5 4 2 1 2

Question 36: Based on the calculated test statistic, would you reject the null hypothesis established in question 35 (MUST SHOW WORK FOR THIS PROBLEM)?

Group of answer choices

a. yes

b. no

Question 37: Based on the previously conducted steps, we can conclude (MUST SHOW WORK FOR THIS PROBLEM):

Group of answer choices

a) The flu shot had a significant effect of subsequent absences

b) The flu shot reduced the number of subsequent absences

c) The flu shot did not have a significant effect on subsequent absences

d) none of these can be concluded

Question 38: Compute Cohen's d. (MUST SHOW WORK FOR THIS PROBLEM)

Question 39: Interpret Cohen's d (i.e., what does it tell you about the flu shot and absences?)

Group of answer choices

a. Rate of absenteeism changed by 3.55 SD

b. Rate of absenteeism changed by 1.17 SD

c. Cannot interpret Cohen's D meaningfully

d. Rate of absenteeism decreased by 3.55 SD

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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