Question

In: Statistics and Probability

Gender and Frequency of Status Updates on Facebook The Pew Research Center conducted a survey of...

Gender and Frequency of Status Updates on Facebook

The Pew Research Center conducted a survey of randomly sampled American adults, asking them about their use of social networking sites such as Facebook.1 The table below shows the self-reported frequency of status updates on Facebook by gender. Are frequency of status updates and gender related?

↓Status/Gender → Male Female Total
Every day 42 88 130
3-5 days/week 46 59 105
1-2 days/week 70 79 149
Every few weeks 77 79 156
Less often 151 186 337
Total 386 491 877


Table 1 Gender and frequency of status updates on Facebook

Round your answer for the chi-square statistic to one decimal place, and your answer for the p-value to three decimal places.

chi-square statistic = ___________________________

p-value = ________________________

Conclusion: Do not reject or Reject H0?

Are frequency of status updates and gender related?

Solutions

Expert Solution

We will use chi-square test of independency since we have to check whether gender and status updates are related or not.

: Gender and status updates are not related.

: Gender and status updates are related.

Test Statistic: where Oi and Ei are observed and expected freq

The observed frequencies are

↓Status/Gender → Male Female Total
Every day 42 88 130
3-5 days/week 46 59 105
1-2 days/week 70 79 149
Every few weeks 77 79 156
Less often 151 186 337
Total 386 491 877

The expected freq can be calculated using

Eg : Exp for everyday male = =  

↓Status/Gender → Male Female Total
Every day 57.22 72.78 130.00
3-5 days/week 46.21 58.79 105.00
1-2 days/week 65.58 83.42 149.00
Every few weeks 68.66 87.34 156.00
Less often 148.33 188.67 337.00
Total 386.00 491.00 877.00

The table for

↓Status/Gender → Male Female
Every day 4.05 3.18
3-5 days/week 0.00 0.00
1-2 days/week 0.30 0.23
Every few weeks 1.01 0.80
Less often 0.05 0.04

Test Statistic = 9.66

p-value =

r = 5 and c= 2

Assuming level of significance

Since p-value <

Decision: We reject the null hypothesis at 5% level of significance

Conclusion: The frequency of status updates and gender are related.


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