In: Statistics and Probability
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?
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.