Question

There is a statistical difference between groups as the p-value is less than 5%. Do I...

There is a statistical difference between groups as the p-value is less than 5%. Do I need to perform a post-hoc test? Why or why not?

SUMMARY

Groups

Count

Sum

Average

Variance

Column 1

22

1420318

64559.90909

83671674.28

Column 2

15

1295223

86348.2

72184280.89

Column 3

13

2145812

165062.4615

10933748061

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

85073726515

2

42536863258

14.92269054

9.60024E-06

3.19505628

Within Groups

1.33973E+11

47

2850482167

Total

2.19046E+11

49

Homework Answers

Answer #1

The p-value corresponding to Between Groups is less than 5% which indicates that there is a significant statistical difference between the mean values of the three given groups of the question.
We need to perform a post-hoc test to determine which of those among the three groups have a significantly different mean value compared to the others. We select pairs from these three groups and we try to find which pair differs significantly with respect to mean values.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
How do I know whether the variable of interest exhibit a statistical significant difference between the...
How do I know whether the variable of interest exhibit a statistical significant difference between the groups? Anova: Single Factor SUMMARY Groups Count Sum Average Variance Column 1 22 1420318 64559.90909 83671674.28 Column 2 15 1295223 86348.2 72184280.89 Column 3 13 2145812 165062.4615 10933748061 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 85073726515 2 42536863258 14.92269054 9.60024E-06 3.19505628 Within Groups 1.33973E+11 47 2850482167 Total 2.19046E+11 49
Anova: Single Factor SUMMARY Groups Count Sum Average Variance Column 1 5 459 91.8 36.7 Column...
Anova: Single Factor SUMMARY Groups Count Sum Average Variance Column 1 5 459 91.8 36.7 Column 2 5 410 82 51.5 Column 3 5 485 97 2939.5 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 580.1333333 2 290.0666667 0.287412888 0.755224 3.885293835 Within Groups 12110.8 12 1009.233333 Total 12690.93333 14
SUMMARY Groups Count Sum Average Variance Dept. 1 10 340005 34000.5 31479782.94 Dept. 2 8 300391...
SUMMARY Groups Count Sum Average Variance Dept. 1 10 340005 34000.5 31479782.94 Dept. 2 8 300391 37548.875 82885830.98 Dept. 3 7 284654 40664.85714 133792262.8 Dept. 4 21 907010 43190.95238 157721269.9 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 623553563.8 3 207851187.9 1.81088925 0.159863 2.827049 Within Groups 4820697839 42 114778520 Total 5444251403 45 Using this data, please answer if there are significant salary differences between the four departments? Please provide evidence to support your conclusion.
Managers at all levels of an organisation need adequate information to perform their respective tasks. One...
Managers at all levels of an organisation need adequate information to perform their respective tasks. One study investigated the effect the source has on the dissemination of information. In this particular study the sources of information were a superior, a peer and a subordinate. In each case, a measure of dissemination was obtained, with higher values indicating greater dissemination of information. To verify whether the source of information significantly affects dissemination, you perform the ANOVA test. The following table partially...
The following is an incomplete ANOVA table. Source of Variation SS df MS F Between groups...
The following is an incomplete ANOVA table. Source of Variation SS df MS F Between groups 2 11.8 Within groups Total 100 10 The p-value of the test is a) less than 0.14 b) between 0.01 and 0.038 c) between 0.025 and 0.18 d) greater tha
The following is the sample information. Test the hypothesis at the 5% level of significance that...
The following is the sample information. Test the hypothesis at the 5% level of significance that the treatment means are equal. Present your solution by the p value method      Treatment 1 Treatment 2 Treatment 3 9 13 10 7 20 9 11 14 15 9 13 14 12 15 10 Anova: Single Factor SUMMARY Groups Count Sum Average Variance Treatment 1 6 58 9.66666667 3.066667 Treatment 2 4 60 15 11.33333 Treatment 3 5 63 12.6 8.3 ANOVA Source...
An ANOVA test was conducted and the following results were obtained. Descriptive Statistics Groups Count Sum...
An ANOVA test was conducted and the following results were obtained. Descriptive Statistics Groups Count Sum Average Variance A 244 109831 450.13 16833.16 B 1337 689273 515.54 13858.67 C 1060 641232 604.94 12652.42 ANOVA Source of Variation SS df MS F P-value Between Groups    7164292.02                2 3582146.01          262.46    0.000 Within Groups 36004549.12 2638      13648.43 Total 43168841.14 2640 What would be the Type I error rate if a series of t-tests were performed instead of the ANOVA test?...
1. An ANOVA was carried out on a set of data with 4 groups of 4...
1. An ANOVA was carried out on a set of data with 4 groups of 4 subjects each. The responses are presented in the following table: Subject A1 A2 A3 A4 S1 4 5 9 8 S2 5 5 10 8 S3 6 6 7 6 S4 5 4 6 6 Complete the ANOVA table (52 pts) Source SS df MS F Factor A __ __ _ ___ Subject __ __ ___ Within/error __ __ ___ Total __ ___ Find...
Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food...
Consider the One-Way ANOVA table (some values are intentionally left blank) for the amount of food (kidney, shrimp, chicken liver, salmon and beef) consumed by 50 randomly assigned cats (10 per group) in a 10-minute time interval. H0: All the 5 population means are equal   H1: At least one population mean is different. Population: 1 = Kidney, 2 = Shrimp, 3 = Chicken Liver, 4 = Salmon, 5 = Beef. ANOVA Source of Variation SS df MS F P-value F...
You are given the following ANOVA Single-factor output.                                 &n
You are given the following ANOVA Single-factor output.                                                                                                                Groups Count Sum Average Variance 1 3.00 166.00 55.33 156.33 2 3.00 213.00 71.00 444.00 3 3.00 197.00 65.67 114.33 4 3.00 219.00 73.00 508.00 5 3.00 235.00 78.33 786.33 6 3.00 160.00 53.33 92.33 7 3.00 256.00 85.33 10.33 8 3.00 206.00 68.67 574.33 9 3.00 210.00 70.00 333.00 10 3.00 290.00 96.67 2.33 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 4527.20 9.00 503.02 1.66...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT