The authors of a paper studied a random sample of 351 Twitter users. For each Twitter...

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The authors of a paper studied a random sample of 351 Twitterusers. For each Twitter user in the sample, the tweets sent duringa particular time period were analyzed and the Twitter user wasclassified into one of the following categories based on the typeof messages they usually sent.

CategoryDescription
ISInformation sharing
OCOpinions and complaints
RTRandom thoughts
MEMe now (what I am doing now)
OOther

The accompanying table gives the observed counts for the fivecategories (approximate values read from a graph in the paper).

Twitter TypeISOCRTMEO
Observed count5360669973

Carry out a hypothesis test to determine if there is convincingevidence that the proportions of Twitter users falling into each ofthe five categories are not all the same. Use a significance levelof

? = 0.05.

(Hint: See Example 14.3.)

Let p1, p2,p3, p4, andp5 be the proportions of Twitter users fallinginto the five categories.

State the appropriate null and alternative hypotheses.

H0: p1 =p2 = p3 =p4 = p5 = 0.5
Ha: H0 is nottrue. H0: p1 =p2 = p3 =p4 = p5 = 351
Ha: H0 is nottrue.     H0:p1 = p2 =p3 = p4 =p5 = 0.2
Ha: H0 is nottrue. H0: p1 =p2 = p3 =p4 = p5 = 70
Ha: H0 is nottrue. H0: p1 =p2 = p3 =p4 = p5 = 0.05
Ha: H0 is nottrue.

Find the test statistic and P-value. (Use technology.Round your test statistic to three decimal places and yourP-value to four decimal places.)

X2 = P-value =

State the conclusion in the problem context.

Do not reject H0. There is not convincingevidence to conclude that the proportions of Twitter users fallinginto the five categories are not all the same. RejectH0. There is not convincing evidence toconclude that the proportions of Twitter users falling into thefive categories are not all the same.    Reject H0. There is convincing evidence toconclude that the proportions of Twitter users falling into thefive categories are not all the same. Do not rejectH0. There is convincing evidence to concludethat the proportions of Twitter users falling into the fivecategories are not all the same.

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