1) You're analyzing the distribution of daily social media posts across different days of the week. You collect data from a random sample of 200 users and record the following post counts: Day Observed Frequency Expected Frequency (Uniform) Monday 15 28.57 Tuesday 25 28.57 Wednesday 30 28.57 Thursday 20 28.57 Friday 35 28.57 Saturday Sunday 40 28.57 35 28.57

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1) You're analyzing the distribution of daily social media posts across different days of the week. You collect
data from a random sample of 200 users and record the following post counts:
Day
Observed
Frequency
Expected
Frequency
(Uniform)
Monday
15
28.57
Tuesday
25
28.57
Wednesday
30
28.57
Thursday
20
28.57
Friday
35
28.57
Saturday Sunday
40
28.57
35
28.57
Transcribed Image Text:1) You're analyzing the distribution of daily social media posts across different days of the week. You collect data from a random sample of 200 users and record the following post counts: Day Observed Frequency Expected Frequency (Uniform) Monday 15 28.57 Tuesday 25 28.57 Wednesday 30 28.57 Thursday 20 28.57 Friday 35 28.57 Saturday Sunday 40 28.57 35 28.57
Expert Solution
Step 1: Description of Hypothesis of the test :
  1. By the given data ,it is hypothesis test of chi - square independence.

   So,we use the data in R -software and get steps as follows:

Step :1

 Hypothesis are

Null hypothesis  H0 : There is no significant difference between the expected and observed frequencies.

Alternative hypothesis  Ha: There is a significant difference between the expected and observed frequencies.



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