Question

In: Math

A survey across generations of workers gathered data on engagement at work. The results for a...

A survey across generations of workers gathered data on engagement at work. The results for a sample of​ 1,000 workers are in the accompanying contingency table. At the 0.10 level of​ significance, is there evidence of a significant relationship between generation and level of engagement in the​ workplace?

Millennials Gen Xers Baby Boomers Traditionalists Engaged 100 116 90 18 Not Engaged 190 149 134 17 Actively Disengaged 56 65 59 6 What are the null and Alt. Hypothesis?

Solutions

Expert Solution

Data Summary

Observed Frequencies (O) Millennials Gen Xers Baby Boomers Traditionalists Total
Engaged 100 116 90 18 324
Not Engaged 190 149 134 17 490
Actively Disengaged 56 65 59 6 186
Total 346 330 283 41 1000

The null and alternative hypotheses are                  
Ho :      There is a no significant relationship between Generation and Level of engagement at workplace .

Ha :      There is a a significant relationship between Generation and Level of engagement at workplace .                               
α = 0.10                  
We use Chi Square test of independence                  
                  
Grand Total of frequencies n = 1000                  
To find Expected Frequencies                  
Expected Frequencies = (Row Total * Column Total)/Grand Total                  

Expected Frequencies (E) Millennials Gen Xers Baby Boomers Traditionalists
Engaged 112.104 106.92 91.692 13.284
Not Engaged 169.54 161.7 138.67 20.09
Actively Disengaged 64.356 61.38 52.638 7.626

Following table gives the value of (Observed - Expected)² / Expected

Millennials Gen Xers Baby Boomers Traditionalists
Engaged 1.3069 0.7711 0.0312 1.6742
Not Engaged 2.4691 0.9975 0.1573 0.4753
Actively Disengaged 1.0849 0.2135 0.7689 0.3467

Chi Square Value = ∑[(Observed - Expected)² / Expected]                  
χ² = 10.2966                  
                  
Degrees of freedom = df = (number of rows - 1) * (number of columns - 1)                  
Degrees of freedom = df = 6                  
                  
From chi square table or CHISQ.DIST.RT(X, df) function of Excel                  
we find the p-value                  
p-value = CHISQ.DIST.RT( 10.2966, 6) = 0.1127                  
p-value = 0.1127           
                  
Decision :                  
0.1127 > 0.1                  
that is p-value > α                  
Hence we DO NOT REJECT Ho                  
                   
Conclusion :                  
There does not exist enough statistical evidence at α = 0.1 to show that                   
there is a significant relationship between Generation and Level of engagement at workplace.

that is there is no significant relationship between Generation and Level of engagement are independent


Related Solutions

The data in the table to the right are based on the results of a survey...
The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. LOADING... Click the icon to view the critical values for the correlation coefficient. Commute Time (in minutes) Well-Being Score Open in StatCrunch + Copy to Clipboard + Open in Excel + 44 69.569.5 1616 68.568.5 2525 67.867.8 3434 67.167.1 5151 66.966.9 6868 65.865.8 103103 63.163.1...
Use the following information gathered by a BLS labor market survey of four households to work....
Use the following information gathered by a BLS labor market survey of four households to work. Household 1: Candy worked 20 hours last week setting up her Internet shopping business. The rest of the week, she completed application forms and attended two job interviews. Husband Jerry worked 40 hours at his job at GM. Daughter Meg, a student, worked 10 hours at her weekend job at Starbucks. Household 2: Joey, a full-time bank clerk, was on vacation. Wife, Serena, who...
The table shows the results of a survey in which 142 men and 145 woman workers...
The table shows the results of a survey in which 142 men and 145 woman workers age 25 to 64 were asked if they have at least one months income set aside for emergencies. Complete parts a-d. a.) Find the probability that a randomly selected worker has one months income or more set aside for emergencies. b.) Given that a randomly selected worker is male find the probability that the worker has less than one months income. c.) Given that...
Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their...
Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with their supervisor is rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent relationship); overall quality of the work environment is rated on a scale from 0 to...
Please open “LIFE” data. The data is related to results of a survey that asks people...
Please open “LIFE” data. The data is related to results of a survey that asks people to grade themselves in terms of Conscientiousness and Life satisfaction. Conscientiousness grading scale is from 1 to 10 whereas Life satisfaction criteria was graded from 1 to 80. And each person, surveyed grade himself by own for both criteria. Gender information is included in data as well. The objective of survey is whether life satisfaction can be explained with conscientiousness and gender. So, the...
In economics, the intertemporal allocation of a scarce, depletable resource across generations is efficient, but not...
In economics, the intertemporal allocation of a scarce, depletable resource across generations is efficient, but not necessarily fair . give some example and explain.
Question 2 Suppose a researcher gathered survey data from 19 employees and asked the employees to...
Question 2 Suppose a researcher gathered survey data from 19 employees and asked the employees to rate their job satisfaction on a scale from 0 to 100 (with 100 being perfectly satisfied). Suppose the following data represent the results of this survey. Assume that relationship with their supervisor is rated on a scale from 0 to 50 (0 represents a poor relationship and 50 represents an excellent relationship); overall quality of the work environment is rated on a scale from...
Do teachers find their work rewarding and satisfying? An article reports the results of a survey...
Do teachers find their work rewarding and satisfying? An article reports the results of a survey of 397 elementary school teachers and 268 high school teachers. Of the elementary school teachers, 225 said they were very satisfied with their jobs, whereas 129 of the high school teachers were very satisfied with their work. Estimate the difference between the proportion of all elementary school teachers who are satisfied and all high school teachers who are satisfied by calculating a 95% CI....
Do teachers find their work rewarding and satisfying? An article reports the results of a survey...
Do teachers find their work rewarding and satisfying? An article reports the results of a survey of 397 elementary school teachers and 268 high school teachers. Of the elementary school teachers, 225 said they were very satisfied with their jobs, whereas 129 of the high school teachers were very satisfied with their work. Estimate the difference between the proportion of all elementary school teachers who are satisfied and all high school teachers who are satisfied by calculating a 95% CI....
Do teachers find their work rewarding and satisfying? An article reports the results of a survey...
Do teachers find their work rewarding and satisfying? An article reports the results of a survey of 393 elementary school teachers and 261 high school teachers. Of the elementary school teachers, 221 said they were very satisfied with their jobs, whereas 123 of the high school teachers were very satisfied with their work. Estimate the difference between the proportion of all elementary school teachers who are satisfied and all high school teachers who are satisfied by calculating a 95% CI....
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT