Question: The null hypothesis: At least two population means are not equal 2.The null hypothesis: All population means are not equal. 3.The null hypothesis: All populationmeans

The null hypothesis:

At least two population means are not equal

2.The null hypothesis:

All population means are not equal.

3.The null hypothesis:

All populationmeans differ.

4.The null hypothesis:

All population means are equal.

5.The alternative hypothesis:

At least two population means are not equal.

6.The alternative hypothesis:

All population means are not equal?.

7.The alternative hypothesis:

All population means differ.

8.The alternative hypothesis:

All population means are equal.

9.Test statistic is 29.600

10.Test statistic is 0.868

11.Test statistic is 34.100

12.Test statistic is 0.445

13.P-value is 0.001

14.P-value is 0.868

15.P-value is 0.010

16.P-value is 0.445

17.Decision: Reject the null hypothesis and conclude that there is difference between at least two the means number of spam for two populations.

18.Decision: Do not reject the null hypothesis which states there are no difference in means number of spam for three populations.

19.Decision: Reject the null hypothesis and conclude that there are difference among the means number of spam for the three populations.

20.Decision: Do not reject the null hypothesis which states that there are difference among means number of spam for at least two populations.

21.The significant difference is between:Professors and students

22.The significant difference is between:Professors and administrators?

23.The significant difference is between:Administrators and students?

24.The significant difference is between:No significant difference

 The null hypothesis:At least two population means are not equal2.The null

Spam is the price we pay to be capable of easily communicating using e-mail. Does spam affect everyone equally? In a preliminary study, university professors, administrators, and students were randomly sampled. Each person was asked to count the number of spam messages received that day. The results follow: Professors Administrators Students 7 5 12 4 9 4 0 12 5 3 16 18 18 10 15 Can we infer at the 5% significance level that the differing university communities differ in the amount of spam they receive in their e-mails? Use SPSS output below to choose six correct answers only from following: ANOVA NoSpams Sum of Mean Squares df Square F Sig Between 59.200 2 29.600 868 445 Groups Within 409.200 12 34.100 Groups Total 468.400 14

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