a) We will set up the null hypothesis that
Persons college and photo uploading sites are dependent
Persons college and photo uploading sites are independent
b) Type I error is rejecting null hypothesis (H0) When null hypothesis (H0) was actually True and Type II error is accepting null hypothesis (H0) When Alternate hypothesis (H1) was actually True.
c) Under the null hypothesis the test statistics is
Where Oi is the observed frequency where Ei is the expected frequency and is obtained as follow
Where R and C are row and column total frequencies and N is the Total frequency
The expected frequencies are given below
Observed | Google+ | Total | ||
Foothill | 20.10 | 13.51 | 10.39 | 44 |
De Anza | 20.55 | 13.82 | 10.63 | 45 |
SJSU | 17.35 | 11.67 | 8.98 | 38 |
Total | 58 | 39 | 30 | 127 |
The degrees of freedom is (c-1)(r-1)=(3-1)(3-1)=4
and corresponding P.Value at 4 degrees of freedom = 0.175333
The Tabulated Chi square at 1% significance level with 4 degree of freedom = 13.277
The area under dark black represents P.Value area in the below graph
e) Since calculated P.Value = 0.175333 which is greater then 0.01, we will accept null hypothesis and concludes that Persons college and photo uploading sites are dependent.
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