The authors of a paper studied a random sample of 350 Twitter users. For each Twitter user in the sample, the "tweets" sent during a particular time period were analyzed and the Twitter user was classified into one of the following categories based on the type of messages they usually sent. Category Description IS Information sharing OC Opinions and complaints RT Random thoughts ME Me now (what I am doing now) O Other The accompanying table gives the observed counts for the five categories (approximate values read from a graph in the paper). Twitter Type IS OC RT ME O Observed count 50 61 64 102 73 Carry out a hypothesis test to determine if there is convincing evidence that the proportions of Twitter users falling into each of the five categories are not all the same. Use a significance level of 0.05.Calculate the test statistic. (Round your answer to two decimal places.)χ2 = ?What is the P-value for the test? (Round your answer to four decimal places.)P-value = ?
The authors of a paper studied a random sample of 350 Twitter users. For each Twitter user in the sample, the "tweets" sent during a particular time period were analyzed and the Twitter user was classified into one of the following categories based on the type of messages they usually sent.
|
Category |
Description |
|
IS |
Information sharing |
|
OC |
Opinions and complaints |
|
RT |
Random thoughts |
|
ME |
Me now (what I am doing now) |
|
O |
Other |
The accompanying table gives the observed counts for the five categories (approximate values read from a graph in the paper).
|
Twitter Type |
IS |
OC |
RT |
ME |
O |
|
Observed count |
50 |
61 |
64 |
102 |
73 |
Carry out a hypothesis test to determine if there is convincing evidence that the proportions of Twitter users falling into each of the five categories are not all the same. Use a significance level of 0.05.
Calculate the test statistic. (Round your answer to two decimal places.)
χ2 = ?
What is the P-value for the test?
(Round your answer to four decimal places.)
P-value = ?
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