Post Hoc Tests Multiple Comparisons How likely is it that you would recommend to a friend or colleague on a scale from 0 (not likely) to 10 (most likely)? Bonferroni 95% Confidence Interval Mean Difference (I- (I) Name Hotel Std. Error Lower Bound (J) Name Hotel J) Sig. Upper Bound Hotel London -,373 930 -1,07 32 Hotel Birmingham 262 19 -227 -,64 158 Hotel Leeds 910 000 1,95 -,67 Hotel Glasgow 1,307 242 Hotel Birmingham 373 ,262 ,930 1,07 Hotel London 32 268 ,146 -,56 86 Hotel Leeds 1,000 -1,79 Hotel Glasgow -,934 -,07 325 025 Hotel Leeds 227 ,910 -,19 64 Hotel London ,158 56 -,146 1,000 -86 Hotel Birmingham 268 -1,080 -1,74 -42 Hotel Glasgow ,000 249 Hotel Glasgow 67 000 1,95 1,307 Hotel London 242 325 025 07 1,79 Hotel Birmingham 934 1,080 000 42 1,74 Hotel Leeds 249 *. The mean difference is sign ificant at the 0.05 level. 1. Formulate Ho and H 2. Report the outcome in research terms 3. Explain in own words what the outcome means State you conclude with 95% certainty.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 3BGP
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I Need help with answering question 2 and 3.

To conclude from the table given, there is a big difference in the hotels in the UK. 

The reason is that the P-Value is 0.5> so, therefore, we accept the value, therefore it's true that there is a big difference in the hotels in the UK.

My question is, is my statement correct or am I wrong?

This the information that given to me

  • How likely is it that you would recommend <name hotel> to a friend or colleague on a scale from 0 (not likely) to 10 (most likely)

  • What are the differences between hotels in UK: London, Birmingham, Leeds

Thank you! 

Post Hoc Tests
Multiple Comparisons
How likely is it that you would recommend <name hotel> to a friend or colleague on a scale from 0 (not likely) to 10 (most likely)?
Bonferroni
95% Confidence Interval
Mean Difference (I-
(I) Name Hotel
Std. Error
Lower Bound
(J) Name Hotel
J)
Sig.
Upper Bound
Hotel London
-,373
930
-1,07
32
Hotel Birmingham
262
19
-227
-,64
158
Hotel Leeds
910
000
1,95
-,67
Hotel Glasgow
1,307
242
Hotel Birmingham
373
,262
,930
1,07
Hotel London
32
268
,146
-,56
86
Hotel Leeds
1,000
-1,79
Hotel Glasgow
-,934
-,07
325
025
Hotel Leeds
227
,910
-,19
64
Hotel London
,158
56
-,146
1,000
-86
Hotel Birmingham
268
-1,080
-1,74
-42
Hotel Glasgow
,000
249
Hotel Glasgow
67
000
1,95
1,307
Hotel London
242
325
025
07
1,79
Hotel Birmingham
934
1,080
000
42
1,74
Hotel Leeds
249
*. The mean difference is sign ificant at the 0.05 level.
Transcribed Image Text:Post Hoc Tests Multiple Comparisons How likely is it that you would recommend <name hotel> to a friend or colleague on a scale from 0 (not likely) to 10 (most likely)? Bonferroni 95% Confidence Interval Mean Difference (I- (I) Name Hotel Std. Error Lower Bound (J) Name Hotel J) Sig. Upper Bound Hotel London -,373 930 -1,07 32 Hotel Birmingham 262 19 -227 -,64 158 Hotel Leeds 910 000 1,95 -,67 Hotel Glasgow 1,307 242 Hotel Birmingham 373 ,262 ,930 1,07 Hotel London 32 268 ,146 -,56 86 Hotel Leeds 1,000 -1,79 Hotel Glasgow -,934 -,07 325 025 Hotel Leeds 227 ,910 -,19 64 Hotel London ,158 56 -,146 1,000 -86 Hotel Birmingham 268 -1,080 -1,74 -42 Hotel Glasgow ,000 249 Hotel Glasgow 67 000 1,95 1,307 Hotel London 242 325 025 07 1,79 Hotel Birmingham 934 1,080 000 42 1,74 Hotel Leeds 249 *. The mean difference is sign ificant at the 0.05 level.
1. Formulate Ho and H
2. Report the outcome in research terms
3. Explain in own words what the outcome
means
State you conclude with 95% certainty.
Transcribed Image Text:1. Formulate Ho and H 2. Report the outcome in research terms 3. Explain in own words what the outcome means State you conclude with 95% certainty.
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