In: Statistics and Probability
You will perform a Chi-Square test and an ANOVA test. For each hypothesis test make sure to report the following steps:
Identify the null hypothesis, Ho, and the alternative hypothesis, Ha.
Determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed.
Find the critical value(s) and identify the rejection region(s).
Find the appropriate standardized test statistic. If convenient, use technology.
Decide whether to reject or fail to reject the null hypothesis.
Interpret the decision in the context of the original claim.
1. A researcher wants to determine whether the time spent online per day is related to gender. A random sample of 315 adults was selected and the results are shown below. Test the hypothesis that the time spent online per day is related to gender. Use α = 0.05.
Resource: The Chi-Square, Independence
|
Time spent online per day (minutes) |
|||
0-30 |
30-60 |
60-90 |
90+ |
|
Male |
25 |
35 |
75 |
45 |
Female |
30 |
45 |
45 |
15 |
H0: Null Hypothesis: The time spent online per day is not related to gender
HA: Alternative Hypothesis: The time spent online per day is related to gender.
Observed Frequencies
0- 30 30- 60 60 - 90 90 + Total
Male 25 35 75 45 180
Female 30 45 45 15 135
Total 55 80 120 60 315
Assuming H0, the expected frequencies are got as follows:
0 - 30 30 - 60 60 - 90 90 + Total
Male 55 X 180/315=31.43 45.71 68.57 34.29 180
Female 23.57 34.29 51.43 25.71 135
Total 55 80 120 60 315
O E (O - E)2/E
25 31.43 1.31
35 45.71 2.51
75 68.57 0.60
45 34.29 3.35
30 23.57 1.75
45 34.29 3.35
45 51.43 0.80
15 25.71 4.46
-----------------------------------------------------
= 18.1463
Degrees of Freedom = (r-1) X (c -1) = (2 - 1) X(4-1)= 3
By Technology, P-value = 0.00041
Since p-value is less than , Reject H0.
The data suppoer the claim that the time spent online per day is related to gender.