Question

13. Generational Differences in Workplace Attitudes. In 2015, Addison Group (a provider of professional staffing services) and Kelton (a global insights firm) surveyed the work preferences and attitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials (Society for Human Resource Management website, https://www.shrm.org/resourcesandtools/hr-topics/talent-acquisition/pages /millennials-raises-promotions-generations.aspx). In one question, individuals were asked if they would leave their current job to make more money at another job. The file Millennials contains the sample data, which are also summarized in the following table. Leave Job for More Money? Baby Boomer Yes 129 No 207 Generation X Yes 152 No 183 Millennial Yes 164 No 171 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. What is the p-value? Using a 0.05 level of significance, what is your conclusion?

          13. Generational Differences in Workplace Attitudes. In 2015,
Addison Group (a provider of professional staffing services) and
Kelton (a global insights firm) surveyed the work preferences and
attitudes of 1,006 working adults spread over three generations:
baby boomers, Generation X, and millennials (Society for Human
Resource Management website,
https://www.shrm.org/resourcesandtools/hr-topics/talent-acquisition/pages
/millennials-raises-promotions-generations.aspx). In one question,
individuals were asked if they would leave their current job to
make more money at another job. The file Millennials contains the
sample data, which are also summarized in the following
table.

Leave Job for More Money? 
Baby Boomer
Yes 129
No 207
Generation X
Yes 152
No 183
Millennial
Yes 164
No 171

Conduct a test of independence to determine whether interest in
leaving a current job for more money is independent of employee
generation. What is the p-value? Using a 0.05 level of significance,
what is your conclusion?

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Added by Lourdes M.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

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Solved by Expert Qudsiya Anis

03/16/2022

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- H1: Interest in leaving the current job for more money is dependent on employee generation. ** Show more…

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13. Generational Differences in Workplace Attitudes. In 2015, Addison Group (a provider of professional staffing services) and Kelton (a global insights firm) surveyed the work preferences and attitudes of 1,006 working adults spread over three generations: baby boomers, Generation X, and millennials (Society for Human Resource Management website, https://www.shrm.org/resourcesandtools/hr-topics/talent-acquisition/pages /millennials-raises-promotions-generations.aspx). In one question, individuals were asked if they would leave their current job to make more money at another job. The file Millennials contains the sample data, which are also summarized in the following table. Leave Job for More Money? Baby Boomer Yes 129 No 207 Generation X Yes 152 No 183 Millennial Yes 164 No 171 Conduct a test of independence to determine whether interest in leaving a current job for more money is independent of employee generation. What is the p-value? Using a 0.05 level of significance, what is your conclusion?

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Transcript

00:01 So in the given question, basically we have to conduct a hypothesis testing where the hypothesis is that the interest in leaving a current job for money is dependent of applied generation and the level of significance here is 0 .05.

00:15 Right.

00:16 So first our null hypothesis will be that the interest in leaving the current job for more money is.

00:33 Is independent of the employee generation right so this is our null hypothesis and the alternative hypothesis is that the interest in leaving a current job for more money is dependent of employee generation right so that is the null and alternative hypothesis this is now here we will be performing the kai square analysis so the observed frequencies are already being provided to her though we have to first to determine the expected frequency so we'll just quickly make our table here the baby boomers generation x and the third is millennials right in total here we are writing okay so for first it's a yes and a no and then we have a total now we know the formula to obtain our kai square is some of the observed minus expected whole square divided by expected right so i'll write with the blue i'm writing so with the red i'm writing the observed value which is 129 here 152 164 and 455 here it is 207 183 171 and it's 561 right and total here is 336 355 and 335 and here total is 106 okay so the expected one here is 48 .628 .82 on this it will be 148 .18 .59 this will be 148 .1859 this will be 148 .18 .59 and this one is 187 .33718 this is 186 .8141 and this is 186 .8141 right so here n is equal to 3 so our degrees of freedom will be n minus 1 that is 2 and i kars square will be how we will calculate it so it will be 148 .6 to 8 to sorry 129 minus 148 .6282 whole square divided by 148 .628 plus now it will move on we move on like this 152 minus 148 .1859 whole square divided by 148 .1859 similarly for all the values we will determine this 171 minus 186 .8142 divided by 86 .8141.

03:55 So when we will solve this, the answer will be 7 .851...

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