To check for the different group, we complete the Tukey Kramer Comparisons. The results are summarized in the following table: C D 1 Tukey Kramer Multiple Comparisons G Sample Sample Absolute Std. Error Critical 4. Difference of Difference Range Results Comparison 10 Group 1 to Group 2 Group 5 1: Group 1 6 2: Group 2 7 3: Group 3 8 4: Group 4 9. Mean Size 21.9 1.187785054 4.5017 Means are different 27.9 1.187785054 4.5017 Means are different 10 Group 1 to Group 3 10 Group 1 to Group 4 10 Group 2 to Group 3 5.1 27 0.6 1.187785054 4.5017 Means are not different 21.3 0.9 1.187785054 4.5017 Means are not different Group 2 to Group 4 6.6 1.187785054 4.5017 Means are different 10 Other Data Group 3 to Group 4 1.187785054 4.5017 Means are different 11 Level of significance 0.05 12 Numerator d.f. 4 13 Denominator d.f. 36 14.1083 14 MSW 15 Q Statistic 3.79 What can you conclude about the effect of lenght and the type of the course?

To check for the different group, we complete the Tukey Kramer Comparisons. The results are summarized in the following table: C D 1 Tukey Kramer Multiple Comparisons G Sample Sample Absolute Std. Error Critical 4. Difference of Difference Range Results Comparison 10 Group 1 to Group 2 Group 5 1: Group 1 6 2: Group 2 7 3: Group 3 8 4: Group 4 9. Mean Size 21.9 1.187785054 4.5017 Means are different 27.9 1.187785054 4.5017 Means are different 10 Group 1 to Group 3 10 Group 1 to Group 4 10 Group 2 to Group 3 5.1 27 0.6 1.187785054 4.5017 Means are not different 21.3 0.9 1.187785054 4.5017 Means are not different Group 2 to Group 4 6.6 1.187785054 4.5017 Means are different 10 Other Data Group 3 to Group 4 1.187785054 4.5017 Means are different 11 Level of significance 0.05 12 Numerator d.f. 4 13 Denominator d.f. 36 14.1083 14 MSW 15 Q Statistic 3.79 What can you conclude about the effect of lenght and the type of the course?

Name: what can you conclude about details shown To check for the different g
Uploaded: 2024-03-05T11:52:21.000Z
Channel: Bartleby
Description: what can you conclude about details shown To check for the different group, we complete the Tukey Kramer Comparisons. The results are summarized in the following table:C D1 Tukey Kramer Multiple ComparisonsA3Sample SampleAbsoluteStd. ErrorCritical4.S

College Algebra

1st Edition

ISBN:9781938168383

Author:Jay Abramson

Publisher:Jay Abramson

Chapter9: Sequences, Probability And Counting Theory

Section9.5: Counting Principles

Problem 4SE: Answer the following questions. 4. Describe how the permutation of ii objects differs from the...

See similar textbooks

Similar questions

How many distinct rearrangements of the letters of the word DEADWOOD are there if the arrangement must begin and end with the letter D?
Answer the following questions. 4. Describe how the permutation of ii objects differs from the permutation of choosing r objects from a set of n objects. Include how each is calculated.
The mean ±1 sd of ln [calcium intake (mg)] among 25females, 12 to 14 years of age, below the poverty level is6.56 ± 0.64. Similarly, the mean ± 1 sd of ln [calcium intake(mg)] among 40 females, 12 to 14 years of age, above thepoverty level is 6.80 ± 0.76 5-Compute a 95% CI for the difference in meansbetween the two groups
6. What test is used when you are interested in studying the same group under two conditions? 7. In the equation t(78) = 1.03, p < 0.01, what does 78 represent? 8. According to the equation (for t-test for dependent sample) t(78) = 1.03, p < 0.01, what is the size of the group?
The mean ±1 sd of ln [calcium intake (mg)] among 25females, 12 to 14 years of age, below the poverty level is6.56 ± 0.64. Similarly, the mean ± 1 sd of ln [calcium intake(mg)] among 40 females, 12 to 14 years of age, above thepoverty level is 6.80 ± 0.76.8.6 Compute a 95% CI for the difference in meansbetween the two groups
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 11 11 15 4 13 0 3 3 0 5 3 7 Sick Days 3 -0 0 3 0 7 9 9 6 4 10 5 r2r2 = (Round to two decimal places) Interpret r2r2 : Given any group with a fixed number of vacation days taken, 67% of all of those employees will take the predicted number of sick days. There is a 67% chance that the regression line will be a good predictor for the number of sick days taken based on the number of vacation days taken. 67% of all employees will take the average number of sick days. There is a large variation in the number of sick days employees take, but if you only look at employees who take a fixed number of vacation days, this variation on average is reduced by 67%.
Suppose you conducted an experiment with four independent groups. If you decided to use separate analyses to compare all possible pairs of groups, you would have to run six t tests for independent samples. Assuming you set a = .01 for each of the six t tests, what would the experimentwise alpha level be? Answer with a specific number. (I am not sure if it is .0016 or .016 or .06)
8 Find the required D calculation value to test whether there is a difference between the two groups. a) 0.00 B) 0.40 NS) 0.20 D) 0.60 TO) 0.80
if you have a paired group design and cannot assume a normative distribution, which test do you use? A) paired group t test b) Mann-Whitney U test, c) Wilcoxon paired ranked sign test d) independent group t test e) Chi-square test
1. A University Director wants to see whether the average time (in minutes) it takesstudents to reach classes on time is different for three groups. The data are shown here.Junior Senior Graduates35 9 1518 3 627 12 2724 6 2221 12 2414821a) At α=0.05, can the owner conclude that there is a significant difference among themeans?b) If there is a significant difference among the means, test each pair of means?
Q5 How many different ways are there to select a group of 8 out of 10 people for a group project in which there are no distinct roles?
Assuming that a 15:3:1 demerit weighting system is used, determine the central line and control limits when uc = 0.3, uma = 0.4, umi = 5, and n = 100. If the subgroup inspection results for a particular day are 35 critical, 50 major, and 600 minor nonconformities, determine if the results are in control or out of control. Show your work.