This problem demonstrates a possible (though rare) situation that can occur with group comparisons. Thegroups are sections and the dependent variable is an exam score.Section 1Section 2Section 35638.159.551.122.344.643616261.724.952.859.749.151.549.164.655.456.93954.665.446.348.34845.356Run a one-way ANOVA (fixed effect) with a = 0.05. Round the F-ratio to three decimal places and the p-value to four decimal places. Assume all population and ANOVA requirements are met.F =p =What is the conclusion from the ANOVA?O reject the null hypothesis: at least one of the group means is differentO fail to reject the null hypothesis: not enough evidence to suggest the group means are different

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Answered: Run a one-way ANOVA (fixed effect) with…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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test statistic 0.572 and p-value of 0.2837 are INCORRECT
I need help with this. Please. Thank you. --State a research and null hypothesis appropriate for running a One-Way ANOVA with the Dataset Calculate a one-way ANOVA, including a Tukey's HSD, if needed, for the data from the Happiness and Engagement Dataset.
For the Kruskal-Wallis ANOVA: Is there a statistical difference between the rankings of the core temperatures of the groups exposed to either a cold, neutral, or hot environment? (smaller number= coldest core temperature ranking, largest number= hottest core temperature ranking).” Ranks that are tied, get an average value of the two ranks. The Data is attached. Thank you.
Google Sheets can be used to find the critical value for an F distribution for a given significance level. For example, to find the critical value (the value above which you would reject the null hypothesis) for α=0.05 with dfbetween=4 and dfwithin=30, enter =FINV(0.05,4,30) Enter this into Google Sheets to confirm you obtain the value 2.69. You conduct a one-factor ANOVA with 8 groups and 10 subjects in each group (a balanced design). Use Google Sheets to find the critical values for α=0.1 and α=0.02 (report accurate to 3 decimal places).F0.1=F0.02=
Use formulas to solve this and also with explaination
P-values should be accurate to 4 decimal places and all other values accurate to 3 decimal places. Source S df MS F-ratio P-value Partial n? Age (A) 2 Color (B) Interaction (A × B) 4 Error 63 Provide the conclusions for this 2-way ANOVA. What is the conclusion regarding the main effect for age (A or rows): O There appears to be an effect due to age. O There is not enough evidence to reject the assumption that the marginal means across age groups are equal. What is the conclusion regarding the main effect for color (B or columns): There appears to be an effect due to color. There is not enough evidence to reject the assumption that the marginal means across color groups are equal. What is the conclusion regarding an interaction effect between age and color (A x B): There appears to be an interaction effect between age and color. There is not enough evidence to reject the assumption of a lack of an interaction.
Test the research hypothesis that there is a difference in weights between the two groups at the 0.05 significance level? Assume the equality of variance, adequate sample size, and normal distribution for both the groups to test the hypothesis. X1 = 200 X2 = 198 n1 = 17 n2 = 17 s1 = 2.45 s2 = 2.35 Please show all the necessary steps of hypothesis testing to answer this question.
1/ need help with c,d,e
A psychologist examines retention of a learned task in monkeys. At 90 days 5 monkeys are trained on a discrimination task. Then their performance is tested again at 4 months, 6 months, and 1 year. A partial ANOVA summary table follows. The data were analyzed using a repeated-measures ANOVA. Answer the following: Describe the null and alternative hypotheses. Then complete the source table. Source Between treatments SS df MS F 11 Within treatments Between subjects Error 40 Total 143
You are conducting a study to see if the accuracy rate for fingerprint identification is significantly different from 0.23. You use a significance level of α=0.01 H0:p=0.23 H1:p≠0.23You obtain a sample of size n=228n=228 in which there are 70 successes.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... less than (or equal to) αα greater than αα This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... The sample data support the claim that the accuracy rate for fingerprint identification is different from 0.23. There is not sufficient sample evidence to support the claim that the accuracy rate for fingerprint identification is different from 0.23.
(see attachment) Use technology to conduct a one-factor ANOVA to determine if the group means are equal using α=0.05α=0.05. Group means (report to 2 decimal places): Group 1: Internship: Group 2: Co-op: Group 3: Work Study: ANOVA summary statistics:F-ratio = (report accurate to 3 decimal places)p=p= (report accurate to 4 decimal places)
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