Question

In: Math

12.19. A study of 300 male and female employees in two manufacturing plants was conducted to...

12.19. A study of 300 male and female employees in two manufacturing plants was conducted to explore whether there was gender and age gap in self-esteem. The study’s participants were asked to respond to the statement "I'm happy with myself the way I am" by circling Yes or No. The study found that in in the first plant, 60% of the women and 67% of the men responded Yes. When the same statement was posed to employees in the other plant, 29% of the girls and 48% of the boys responded Yes.

To answer the research questions, two chi square tests were conducted. The first one compared the responses of men and women in the first plant, and the second one compared the responses of men and women in the second plant. The results of the analyses are summarized in the following table. Is there a difference in the responses of men and women? Explain.

                 GROUP

PERCENT RESPONDING   "YES"   

      

χ2

p               

Plant 1:

Women

Men

60

67

          0.30

.53

Plant 2:

Women

Men

29

48

        4.69

      .03

Solutions

Expert Solution

we will be testing the result based on 0.05 level of significance.

We know that when the p value is less than significance level, we reject the null hypothesis and we conclude that the result is significant

When the p value is greater than the significance level, we fail to reject the null hypothesis and we conclude that the result is not significant.

In the given data table, p value corresponding to data set for plant 1 is 0.53, this means that there is no significance difference in the responses of men and women because p value is insignificant or p value is greater than 0.05 significance level.

In the given data table, p value corresponding to data set for plant 2 is 0.03, this means that there is a significance difference in the responses of men and women because p value is significant or p value is less than 0.05 significance level.

So, it is clear that there is a significant difference in the responses of men and women for plant 2 data and no significant difference in the responses of men and women for plant 1 data.


Related Solutions

One researcher was disturbed by the tendency for female employees to overtime more than male employees....
One researcher was disturbed by the tendency for female employees to overtime more than male employees. For this he took a sample of 12 female employees and 10 male employees. The table below is data on how many hours were spent overtime a week. Using a non-parametric test and a 95% confidence level, can it be concluded that female employees are overtime more than male employees? Female (hour) Male (hour) 13 10 17 6 14 8 12 10 10 12...
24. A study compared union activity of employees in 10 plants during two different decades. The...
24. A study compared union activity of employees in 10 plants during two different decades. The researchers reported “a significant increase in union activity, t ( 9 ) = 3.28 , p < .01. t ( 9 ) = 3.28 , p < .01. ” Explain this result to a person who has never had a course in statistics. Be sure to use sketches of the distributions in your answer.
A study was conducted by collecting demographic data of employees of a large company. At the...
A study was conducted by collecting demographic data of employees of a large company. At the time of the study there were an estimated 10,000 employees, and 3095 employees participated in the study. Demographic data collected includes: gender, age, education level, marital status, position and income. a. Determine the population and sample of the study b. Determine whether the demographic variables above include categorical or numerical variables, qualitative or quantitative, whether discrete or continuous and whether the scale is nominal,...
An experiment is conducted to compare the starting salaries of male versus female college graduates who...
An experiment is conducted to compare the starting salaries of male versus female college graduates who find jobs. Pairs are formed by choosing a male and a female with the same major and similar GPAs. Suppose a random sample of 10 pairs is formed in this manner and the starting annual salary of each person is recorded. The results are shown in the table below. Perform a hypothesis test to determine if starting salaries of male versus female college graduates...
A research study investigated differences between male and female students. Based on the study results, we...
A research study investigated differences between male and female students. Based on the study results, we can assume the population mean and standard deviation for the GPA of male students are µ = 3.5 and σ = 0.6. Suppose a random sample of 100 male students is selected and the GPA for each student is calculated. What is the probability that the random sample of 100 male students has a mean GPA greater than 3.42?
20) A research study investigated differences between male and female students. Based on the study results,...
20) A research study investigated differences between male and female students. Based on the study results, we can assume the population mean and standard deviation for the GPA of male students are µ = 3.5 and σ = .05. Suppose a random sample of 100 male students is selected and the GPA for each student is calculated. Find the interval that contains 95.44 percent of the sample means for male students. µ = Population Mean σ =Population Standard Deviation
5) A research study investigated differences between male and female students. Based on the study results,...
5) A research study investigated differences between male and female students. Based on the study results, we can assume the population mean and standard deviation for the GPA of male students are µ = 4.0 and σ = .75. Suppose a random sample of 100 male students is selected and the GPA for each student is calculated. Find the interval that contains 95.44 percent of the sample means for male students. µ = Population Mean σ =Population Standard Deviation [2.5,...
GHG Bellfast, a shipyard company, employed a female welder. She was harassed by certain male employees....
GHG Bellfast, a shipyard company, employed a female welder. She was harassed by certain male employees. The men drew obscene graffiti directed at the victim all over the plant. They also made numerous suggestive and offensive remarks to the victim concerning her body. The victim complained about this atmosphere of harassment. The company’s supervisory personnel immediately transferred those male employees to another department with a warning. A few days later, she sued the company for creating a hostile working environment....
A large car insurance company is conducting a study of accidents for male and female drivers.
A large car insurance company is conducting a study of accidents for male and female drivers. They want to know if on average male drivers (who tend to be thought of as more aggressive drivers) have more accidents than female drivers. Data on the number of accidents in the past 5 years is collected for randomly selected drivers who are insured by this company. An analysis of the results produced the following summary statistics.Group Statistics                                        NMeanStd DeviationStd Error MeanMale322.191.710.3026Female311.231.380.2482Using α=0.01, do...
The following data summarizes a study of online expenditures of groups of male and female customers...
The following data summarizes a study of online expenditures of groups of male and female customers for a particular web store. The population variances are known to be equal.   (5)Test whether the average expenditures of men are higher than women using alpha 0.10. (5) Test that the standard deviation of male customers is more than $94. Use alpha = 0.10. MALE FEMALE Sample mean $352 $310 Sample standard deviation $95 $80 Sample size 13 16
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT