(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 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 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 13 11 15 13.75 13.5 16 8.5 12.75 11 13.5 13.5 15.25 15 13.25 16.25 12.5 14.75 15.5 14.75 13.75 15 13.75 13 15 Use your statistical software package to conduct a one-factor ANOVA to determine if the group means are equal using α=0.01. Though not specifically assessed here, you are encouraged to also test the assumptions, plot the group means, and interpret the results.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=_________ (report accurate to 4 decimal places)
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 ? ? ?
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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
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 = 0.05. Summary Statistics: Work Study 13.1693 Co-op Internship ANOVA Table: Source Mean Standard Deviation Within Total 14.7388 15.441 Between 36.3088 SS df 96.765 48 Work Study vs. Co-op 0.6288 Co-op vs. Internship 1.5401 60.4562 46 1.3143 Work Study vs. Internship 0.2019 MS F Sample Size 15 24 2 18.1544 13.813 2.0E-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 ? ? ?