When would you use the Tukey-Kramer procedure? Question 1 options: to test independence of errors to test for normality to test for differences in pairs of means to test for homogeneity of variance

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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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Suppose we want to test that the average age of a The following table shows the Excel output for this test. Pstudent is not 27 years old. t-Test: Paired Two Sample for Means Score Dummy Mean 25.89474 Variance 5.43275 Observations Pearson Correlation Hypothesized Mean Difference 19 19 #DIV/O! 27 df 18 t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail -2.06696 0.02671 1.7341 0.05343 2.1009 Select the p-value for this test. 2.1009 O 0.05343 0.02671
The between treatment variance encompasses variance from which of the following? O Factor A variance Factor B variance Interaction variance All of the above QUESTION 10 The same critical Fvalue is always used to determine whether the main effect for Factor A the main effect Factor B and the interaction etfect are significant True O False Z0000
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An experiment has been conducted for four treatments with seven blocks. Complete the following analysis of variance table. (Round your values for mean squares and F to two your p-value to three decimal places.) Source of Variation Treatments Blocks Error Total Sum of Squares 1,500 400 2,600 Degrees of Freedom Use a 0.05 to test for any significant differences. Mean Square p-value
Which of the following procedures would you use to investigate this question: Is a California resident in 2020 more or less likely to have been born in California than a California resident in 1950? O Analysis of variance O Chi-square test for goodness-of-fit O One-sample z-test for a proportion O Two-sample t-test for comparing means O Two-sample z-test for comparing proportions
This output represents the hypothesis test that the average age at first pregnancy of women diagnosed with breast cancer is different depending on whether or not metastases are present (yes or no) at the time of breast cancer diagnosis.
An experiment has been conducted for four treatments with eight blocks. Complete the following analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary). If answer is zero enter "0". Source Sum Degrees Mean of Variation of Squares of Freedom Square F p-value Treatments 900 Blocks 400 Error Total 1800 Use a = 0.05 to test for any significant differences. The p-value is less than 0.01 What is your conclusion? Conclude not all treatment means are equal
A test statistic for one of the tests in this unit is given, along with information about degrees of freedom. Give the p-value and indicate whether the results are significant at the 5% level. An analysis of variance test with F-statistic 8.71 and df -numerator 3 and df -denominator = 17 Round your answer to four decimal places. p-value
In a completely randomized design, 12 experimental units were used for the first treatment, 15 for the second treatment, and 20 for the third treatment. Complete the following analysis of variance (to 2 decimals, if necessary). If the answer is zero enter "0". Source of Variation Sum of Squares Degrees of Freedom Mean Square 8 8 Treatments Error 1000 700 2 24 * Ⓡ 650 The p-value is less than 0.01 What is your conclusion? Cannot conclude that the means of the three treatments are equal v 29.17 Total 1800 44 At a 0.05 level of significance, is there a significant difference between the treatments? F 47.65 * p-value 0 ✔ 4
In a completely randomized design, 12 experimental units were used for the first treatment, 15 for the second treatment, and 20 for the third treatment. Complete the following analysis of variance (to 2 decimals, if necessary). If the answer is zero enter "0". Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments 1,100 Error Total 1,500 At a=.05 level of significance, is there a significant difference between the treatments?
Could please help interpret this SPSS output of a Independent sample t-test?
Start A sales manager for a large department store believes that customer spending per visit with a sale is lower than customer spending without a sale, and would like to test that claim. A simple random sample of customer spending is taken from without a sale and with a sale. The results are shown below. Without sale with sale 82.904 71.316 Mean Variance 1984.96 1826.41 Observations 150 Hypothesized Mean Difference 328 PT<=t) one-tail 0.0071 Critical one-tail -1.65 PT<=t) two-tail Critical two-tail -1.967 6 Confidence Level 3 Ex: 1.234 Samples from without sale: n₁ = Ex 9 Samples from with sale: n₂ Point estimate for spending without sale: 1 Point estimate for spending with sale: 2 = 0 J. Ex: 1.234 EN P -7 T P= = t= DE UNDE IS-

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	to test independence of errors
	to test for normality
	to test for differences in pairs of means
	to test for homogeneity of variance