A data set includes the counts of chocolate chips from three different types of Chips Ahoy cookies. The accompanying StatCrunch display shows results from analysis of variance used with those three types of cookies. Use a 0.05 significancelevel to test the claim that the three different types of cookies have the same mean number of chocolate chips.ANOVA tableSourceDFMSF-Stat P-value1105.9875 552.99375 64.1386 <0.000177 663.88333 8.621861479 1769.8708Columns2ErrorTotalDetermine the null hypothesis.Họ:Determine the alternative hypothesis.H,:Determine the test statistic.The test statistic is.(Round to two decimal places as needed.)

There are 3 independent samples which follows normal distribution. We have to test whether the three…

Answered: A data set includes the counts of…

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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The ages of randomly selected cars and taxis in the Dublin Ireland is given below. Use a 0.05 significance level to test the claim that the mean age of cars is greater than the mean age of taxis. Cars: 4. 0. 8. 11. 14. 3. 4. 4. 3. 5. 8. 3. 3. 7. 4. 6. 6. 1. 8. 2. 5. 11 Taxis: 8. 8. 0. 3. 8. 4. 3. 3. 6. 11. 7. 7. 6. 9. 5. 3. 4. 3 (a) Indentify the null and alternate hypotheses (b) calculate the P- value, (c) state whether to reject or fail to reject H0 (d) state the conclusion about the claim
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The average retirement age in America is 66 years old. Do small business owners retire at an older average age? The data below shows the results of a survey of small business owners who have recently retired. Assume that the distribution of the population is normal. 63, 74, 59, 64, 74, 60, 71, 67, 65, 70, 63 What can be concluded at the the � = 0.05 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be: �0: �1: The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is � Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly older than 66 at � = 0.05, so there is sufficient evidence to conclude that the population mean retirement age for small business owners is older than 66. The data suggest…
Is there a treatment that appears to be most effective in the sandy and dry region?
9. Summarize the results from an analysis (two-way ANOVA) performed on the data graphed below. Assume big differences are significant and trivial differences are not. Mean y 22.5- 20.0- 17.5 15.0 12.5 10.0
use ms excel, thank you!
Use a 0.05 significance level to test the claim that males and females have the same mean BMI Male BMI n=80 * = 26.3 s = 5.4 Female BMI n=61 I = 28.4 s = 7.4
1st box is: Do not reject or Reject 2nd box is: do not provide or provide 3rd box is: greater than or the same as or different from or less than
What is the primary purpose of conducting post hoc tests following an ANOVA? a. To determine the overall effect size of the ANOVA. ○ b. To confirm that there are no significant differences among the group means. c. To identify which specific pairs of group means are significantly different from each other. ○ d. To establish a new significance level for the ANOVA.
The paper, “Pathological Video-Game use Among Youth Ages 8 to 18: A National Study”included the information in the accompanying table about video game playing time for representative samples of 588 males and 590 females selected from U.S. residents age 8 to 18. Carry out a hypothesis test to determine if there is convincing evidence that the mean number of hours per week spent playing video games by females is less than the mean number of hours spent by males. Use a significance level of α = 0.01. Communicate your results.
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Perform an analysis of variance (ANOVA) to determine if the differences in the percentage butterfat of the different breeds of cows is statistically significant. Guernsey Jersey Holstein 4.51 4.59 3.43 5.26 6.67 3.68 5.81 5.39 3.72 5.14 4.38 3.76 4.55 4.99 4.43 4.86 5.49 3.84 4.69 5.43 3.54 4.12 5.02 4.18 5.44 5.16 3.4 4.69 5.15 3.77 5.24 5.76 4.03 4.62 5.34 3.63 4.61 5.11 3.37 5.02 4.75 3.54 4.67 5.07 3.64 4.59 4.42 3.98 4.92 6.13 5.58 4.6 5.6 5.83 1. Compute the treatment sum of squares (SSTr) and the error sum of squares (SSE) and use them to complete the following ANOVA table. (Round your answers to 4 decimal places). Source S.S. df M.S. F Treatment Error Total 2. Compute the p-value. (Round your answer to 4 decimal places.)p-value =

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