Anova: Single Factor SUMMARY Groups Count Average Variance A 30 4.967 5.344 B 30 4.567 3.220...
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Anova: Single Factor |
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|
SUMMARY |
|||
|
Groups |
Count |
Average |
Variance |
|
A |
30 |
4.967 |
5.344 |
|
B |
30 |
4.567 |
3.220 |
|
C |
30 |
7.267 |
7.375 |
|
D |
30 |
6.500 |
7.638 |
|
E |
30 |
9.400 |
12.248 |
Compare Group E to Group A
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What is the t-value for this test?
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What is the P-value for this test?
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What is the confidence interval for mean difference in this test?
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Keeping in mind that the Margin of Error is the difference from the mean difference to either value above, what is the MOE? (95% CI => (LCL, UCL) = mean diff +/- MOE) **** If this is too confusing, use MOE = 2* Sxp1N1+1N2
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Assuming the normal distribution is correct for this data, what is the probability someone else can repeat this experiment and come to the conclusion that there is a statistically significant difference between the groups? NCDF(MOE, 1000, mean difference, Sxp)
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What is the probability that someone can confirm your results but conclude there is no significant difference? NCDF(LCL, MOE, mean diff, Sxp)
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What is the probability that someone will get results that confirm yours? Assume a 95% confidence interval.
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What is the probability that someone will get a significant difference but NOT confirm your results? NCDF(UCL, 1000, mean diff, Sxp)
Homework Answers
Add Answer to:
Anova: Single Factor
SUMMARY
Groups
Count
Average
Variance
A
30
4.967
5.344
B
30
4.567
3.220...
Anova: Single Factor SUMMARY Groups Count CAR1 CAR2 CAR3 CAR4 SumAverage Variance 178.9 19.87778 ...
T test statistic
Anova: Single Factor SUMMARY Groups Count CAR1 CAR2 CAR3 CAR4 SumAverage Variance 178.9 19.87778 9.309444 11119.4 10.85455 10.15873 11241.1 21.91818 13.06164 14.49 7.894333 9 10 144.9 ANOVA Source of Varid Ss MS P-value F crit Between ( 815.10793 271.7026 26.61437 2.39E-09 2.8587916 Within Gr 377.7282 37 10.20887 Total 1192.836 40 Conduct a test of hypothesis that the mean mileage of makes 2 and 3 do not differ. Use the method for single means when σ is not...
Question Completion Status QUESTION 4 Anova: Single Factor SUMMARY Groups Count Sum Average Variance A 4...
Question Completion Status QUESTION 4 Anova: Single Factor SUMMARY Groups Count Sum Average Variance A 4 108 27 32.66666667 B 4 96 24 13.33333333 4 120 30 56 ANOVA Source of Variation SS df F crit MS P-value F Treatments 72 36 1.058823529 0.386396621 4.256494729 Error 306 9 34 Total 378 11 Based on the Results above of Single Factor ANOVA: the MSTR O 36 O 378 O 72 O 34 Click Save and Submit to save and submit. Chick...
Two researchers conducted a study in which two groups of students were asked to answer 42...
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 21.4 with a standard deviation...
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Two researchers conducted a study in which two groups of students were asked to answer 42...
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 218 with a standard deviation...
Anova: Single Factor SUMMARY Count Av Variance Sum 165.000000000 27.500000000 8.300000000 174.000000000 29.000000000 2.000000000 155.000000000 25.833333333...
Anova: Single Factor SUMMARY Count Av Variance Sum 165.000000000 27.500000000 8.300000000 174.000000000 29.000000000 2.000000000 155.000000000 25.833333333 1.366666667 188.000000000 31.333333333 0.666666667 ANOVA P.value Fcrit Between Groups 98.166666667 3 Within Groups 61.666666667 20 MS 32.722222222 10.612612613 0.000217836 3.098391196 3.083333333 Total 159.833333333 23 TUKEY MULTIPLE COMPARISON TEST Distance 2.838767338 3.96 0.05 Means joined by a double line are not significantly different. 25.833333969 27.500000000 29.000000000 31.333333969 19. Is there a statistically significant difference in the average processing time between the four products? A. Yes,...
Two researchers conducted a Muty in which two groups of students were asked to answer 42...
Two researchers conducted a Muty in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while atents in group 2 were asked to think about soccer hooligans. These protest thoughts are a form of priming. The 200 students in group 1 had a mean score of 232 with a standard deviation of...
ANOVA Oneway Descriptives 95% Confidence Interval for Std. Mean Deviation Std.Error Lower Bound U...
SPSS Data questions
ANOVA Oneway Descriptives 95% Confidence Interval for Std. Mean Deviation Std.Error Lower Bound Upr Bound Minlimum Mavium 4 2.0000 4.00 1.00 .4142170711 8165040825 9574347871 6.00001.82574 91287 2.13600 53400 -2503 4.2503 Negligible Minimal Moderate Severe Total 1.7008 42992 3,0000 8 4 5.7500 4 6 2.00 7.27355.007.00 8.9052 400 8.00 4.2265 8.00 1.00 3.0493 5.3257 ANOVA Sum of Squares 47.688 20.750 Mean Square 15.896 9.193 002 Between Groups Within Groups Total 1.729 12 Post Hoc Tests Multiple Comparisons Infections...
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Question 5 4 pt The following is part of the output for a correlated groups t-test run in SPSS, based on the SPSS output is the test statistically significant (that is should you reject the null hypothesis)? Why or why not? Use information from the output to support your answer. Paired Samples Test 95% Confidence Interval of the Difference Std. Error Std. Deviation Mean Sig. (2 tailed) Mean Lower Upper Pair pretest- post-test -1.75000 3.19446 92216 -3.77966 -27966 -1.898 .044...
T test statistic
Anova: Single Factor SUMMARY Groups Count CAR1 CAR2 CAR3 CAR4 SumAverage Variance 178.9 19.87778 9.309444 11119.4 10.85455 10.15873 11241.1 21.91818 13.06164 14.49 7.894333 9 10 144.9 ANOVA Source of Varid Ss MS P-value F crit Between ( 815.10793 271.7026 26.61437 2.39E-09 2.8587916 Within Gr 377.7282 37 10.20887 Total 1192.836 40 Conduct a test of hypothesis that the mean mileage of makes 2 and 3 do not differ. Use the method for single means when σ is not...
Question Completion Status QUESTION 4 Anova: Single Factor SUMMARY Groups Count Sum Average Variance A 4 108 27 32.66666667 B 4 96 24 13.33333333 4 120 30 56 ANOVA Source of Variation SS df F crit MS P-value F Treatments 72 36 1.058823529 0.386396621 4.256494729 Error 306 9 34 Total 378 11 Based on the Results above of Single Factor ANOVA: the MSTR O 36 O 378 O 72 O 34 Click Save and Submit to save and submit. Chick...
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 21.4 with a standard deviation...
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The 200 students in group 1 had a mean score of 218 with a standard deviation...
Anova: Single Factor SUMMARY Count Av Variance Sum 165.000000000 27.500000000 8.300000000 174.000000000 29.000000000 2.000000000 155.000000000 25.833333333 1.366666667 188.000000000 31.333333333 0.666666667 ANOVA P.value Fcrit Between Groups 98.166666667 3 Within Groups 61.666666667 20 MS 32.722222222 10.612612613 0.000217836 3.098391196 3.083333333 Total 159.833333333 23 TUKEY MULTIPLE COMPARISON TEST Distance 2.838767338 3.96 0.05 Means joined by a double line are not significantly different. 25.833333969 27.500000000 29.000000000 31.333333969 19. Is there a statistically significant difference in the average processing time between the four products? A. Yes,...
Two researchers conducted a Muty in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a professor, while atents in group 2 were asked to think about soccer hooligans. These protest thoughts are a form of priming. The 200 students in group 1 had a mean score of 232 with a standard deviation of...
SPSS Data questions
ANOVA Oneway Descriptives 95% Confidence Interval for Std. Mean Deviation Std.Error Lower Bound Upr Bound Minlimum Mavium 4 2.0000 4.00 1.00 .4142170711 8165040825 9574347871 6.00001.82574 91287 2.13600 53400 -2503 4.2503 Negligible Minimal Moderate Severe Total 1.7008 42992 3,0000 8 4 5.7500 4 6 2.00 7.27355.007.00 8.9052 400 8.00 4.2265 8.00 1.00 3.0493 5.3257 ANOVA Sum of Squares 47.688 20.750 Mean Square 15.896 9.193 002 Between Groups Within Groups Total 1.729 12 Post Hoc Tests Multiple Comparisons Infections...
A statistics teacher wanted to see whether there was a significant difference in ages between day students and night students. A random sample of 35 students is selected from each group. The data are given below. Day Students 1 22 1 29 20 20 24 18 24 20 23 24 21 23 27 26 23 21 22 17 30 19 18 22 19 25 19 23 18 25 21 20 18 21 Night Students 18 23 24 27 1925 25...
Question 5 4 pt The following is part of the output for a correlated groups t-test run in SPSS, based on the SPSS output is the test statistically significant (that is should you reject the null hypothesis)? Why or why not? Use information from the output to support your answer. Paired Samples Test 95% Confidence Interval of the Difference Std. Error Std. Deviation Mean Sig. (2 tailed) Mean Lower Upper Pair pretest- post-test -1.75000 3.19446 92216 -3.77966 -27966 -1.898 .044...
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