(Ch12) At what age do babies learn to crawl? Does it take longer to learn in thewinter when babies are often bundled in clothes that restrict their movement? Datawere collected from parents who brought their babies into the University of DenverInfant Study Center to participate in one of a number of experiments between 1988and 1991. Parents reported the birth month and the age at which their child was firstable to creep or crawl a distance of 4 feet within 1 minute. The resulting data weregrouped by month of birth: January, May, and September:Crawling ageBirth monthMeanSt. dev. nJanuary29.847.0832MaySeptember28.588.072733.836.9338Crawling age is given in weeks. Assume the data represent three independent simplerandom samples, one from each of the three populations consisting of babies born inthat particular month, and that the populations of crawling ages have Normaldistributions.A partial ANOVA table is given below.DFSourceSum ofMeansquares505.26squareGroupsError53.45TotalDetermine whether each of the following statements is true or false.A)This is a randomized, designed experiment.The date Determine whether each of the following statements is true or false.A)This is a randomized, designed experiment.The data show no strong evidence of violating the assumption thatthe three populations have the same standard deviation.An ANOVA cannot be used on these data because the sample sizesB)C)are different.D)An ANOVA cannot be used on these data because the data showvery strong evidence of non-Normal population distributions.

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Determine whether each of the following statements is true or false. This is a randomized, designed experiment. A) B) The data show no strong evidence of violating the assumption that the three populations have the same standard deviation. C) An ANOVA cannot be used on these data because the sample sizes are different. An ANOVA cannot be used on these data because the data show D) very strong evidence of non-Normal population distributions.

Determine whether each of the following statements is true or false. This is a randomized, designed experiment. A) B) The data show no strong evidence of violating the assumption that the three populations have the same standard deviation. C) An ANOVA cannot be used on these data because the sample sizes are different. An ANOVA cannot be used on these data because the data show D) very strong evidence of non-Normal population distributions.

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 term sample usually refers to a sample that ___ - Consists of people with chemical dependency problems - Uses the same group of individuals with a before/after measurement - Requires a dependent variable for hypothesis testing - Is randomly selected from two dependent populations
Violation of which assumption below for the two-factor ANVOA is not a cause for concern with large sample sizes? a. The populations from which the samples are selected must have equal variances. b. The populations from which the samples are selected must be normal. c. A violation of any assumption below would be a concern, even with large sample sizes. d. The observations within each sample must be independent.
The following three independent random samples are obtained from three normally distributed populations with equal variances. The dependent variable is starting hourly wage, and the groups are the types of position (work study, co-op, internship). Software was used to conduct a one-way ANOVA to determine if the means are equal using a = 0.10. Summary Statistics: Work Study 12.854 Co-op Internship ANOVA Table: Source Mean Standard Deviation Within Total 14.51 15.424 SS df 132.542 48 0.5487 Work Study vs. Co-op 1.8888 88.0834 46 1.9149 Work Study vs. Internship Co-op vs. Internship 0.449 MS Between 44.4586 2 22.2293 11.6086 8.3E-5 F -3.636 Sample Size Perform a Bonferroni test to see which means are significantly different. Round your answers to three decimal places, and round any interim calculations to four decimal places. Hint: Make sure to use Bonferroni's adjustment. -4.549 15 -1.755 24 10 P-value Test Statistic Adjusted P-value Statistically significant difference? 0.002 0.000…
The following three independent random samples are obtained from three normally distributed populations with equal variances. The dependent variable is starting hourly wage, and the groups are the types of position (work study, co-op, internship). Software was used to conduct a one-way ANOVA to determine if the means are equal using a = 0.01. Summary Statistics: Work Study 13.1813 Co-op 15.0517 Internship ANOVA Table: Source Between Within Mean Total 15.447 SS 42.1802 Standard Deviation df Work Study vs. Co-op 114.3338 48 Co-op vs. Internship 0.6592 1.6674 72.1536 46 1.5686 Work Study vs. Internship 0.4859 MS F Sample Size 15 24 2 21.0901 13.4452 2.5E-5 10 Perform a Bonferroni test to see which means are significantly different. Round your answers to three decimal places, and round any interim calculations to four decimal places. Test Statistic Adjusted P-value Statistically significant difference? P-value ? ? ?
The following three independent random samples are obtained from three normally distributed populations with equal variance. The dependent variable is starting hourly wage, and the groups are the types of position (internship, co-op, work study). Group 1: Internship Group 2: Co-op Group 3: Work Study 10.75 12.5 8.5 9.75 10.25 12.5 11.5 13 15.25 10.75 14.25 14.5 11.25 10.5 14 10.5 11 15 13.75 12.75 11.75 11.5 12.5 15.75 11.75 12.75 12 13.25 13.75 14 12.75 14.25 12.25 Conduct a one-factor ANOVA to determine if the group means are equal using α=0.01α=0.01. Group means:Group 1 mean: Group 2 mean: Group 3 mean: ANOVA summary statistics:F-test statistic = p=p= Conclusion: The sample data suggests there is a correlation in the starting hourly wages. There is not sufficient data to conclude that at least one group's average starting hourly wage is different. The sample data suggests the starting hourly wages are dependent There is not…
If other factors are held constant, increasing the sample variances will have very little influence on measures of effect size for an independent-measures study. O True O False
In her book Red Ink Behaviors, Jean Hollands reports on the assessment of leading Silicon Valley companies regarding a manager's lost time due to inappropriate behavior of employees. Consider the following independent random variables. The first variable x1 measures manager's hours per week lost due to hot tempers, flaming e-mails, and general unproductive tensions. x1: 1 5 8 4 2 4 10 The variable x2 measures manager's hours per week lost due to disputes regarding technical workers' superior attitudes that their colleagues are "dumb and dispensable". x2: 8 5 2 5 9 4 10 3 Use a calculator with sample mean and sample standard deviation keys to calculate x1, s1, x2, and s2. (Round your answers to two decimal places.) x1 = s1 = x2 = s2 = What is the value of the sample test statistic? Compute the corresponding z or t value as appropriate. (Test the difference μ1 − μ2. Do not use rounded values. Round your final answer to three decimal places.) (b) Find a…
Chapter 16 covers nonparametric testing procedures. What does nonparametric mean? Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer. a We are not testing population parameters. There is no data involved. The procedure is not based on the assumption of a normal distribution. There are no assumptions that have to be met in order to perform the procedure.
An independent-measures research project has two sample variances, 12 and 6. Calculate the F-Max test for this project. Your answer will be a whole number
1. We want to investigate whether traffic accidents are more likely on certain days of the week on certain road sections. Which of the following tests best fits the situation?Choose one:a. Two-way analysis of variance OR b. Compatibility test OR c. Paired t-test 2. In which of the following can it be assumed that the sample comes from a normal distribution?Choose one:a. In the Runs test (random test)b. In the compatibility testc. In a two-way analysis of variance
Q.3 For the following data: a) Compute SST, SSTR, SSE b) Construct a one-way ANOVA table c) Decide at the 5% significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples are drawn are not the same. Sample 1 Sample 2 Sample 3 Sample 4 11 16 6 2 10 7 4 10 3. we have: ng = 3 n3= 3 n4 = 3 Ta 24 = 1s Ty= 36 THa9 n z Enj = 12 Exz= IT;= &4 ..... Ex - (Ex:*/n = SSTR = I (Tim;) - (Iri)/n = ()+( )+( )+( ) -- 2. SST = 12 SSE = 5sT - SSTR = Fostatistic df MS 2 df :عاطء Souree SS MSTR/MSE 138 Treatment where: MSE- SSE/(n-k) MSTR = SSTR/(K-1) Enron Tofal df z ( 3, 8) caitical Valme s ? Compare test- statistic to cv. Do you rejuctNull or Do not rejrit what dees it mean ? write here