13.A. A Personnel Manager is interested in trying to determine whether absenteeism is greateron one day of the week than on another. His records for the past year show the followingsample distribution:Day of the week:MondayNo. of absentees:66Tuesday Wednesday Thursday565448Test whether the absence is uniformly distributed over the week[Critical value of x2 = 9.49 at a = 0.05 and df = 4]Friday75

The objective of this question is to determine whether the absenteeism is uniformly distributed over…

Answered: 13.A . A Personnel Manager is…

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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a. Given the following information obtained from three normally distributed populations, construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "SS" to 2 decimal places, "MS" to 4 decimal places, and "P" to 3 decimal places.) SSTR = 186.2; SSE = 2,387.2; c = 3; n = n2 = n3 = 10 ANOVA Source of Variation SS df MS p-value Between Groups 0.363 Within Groups Total b. At the 1% significance level, what is the conclusion to the ANOVA test of mean differences? O Do not reject Ha. we cannot conclude that some means differ. O Reject Ho: we can conclude that some means differ. O Do not reject Ha: we can conclude that some means differ. O Reject Ha, we cannot conclude that some means differ.
3. Which of the following are practical ways to assess equal variances of the residuals? Select all that apply a. Hartley's F-max test (provided data look normal and sample sizes are same); b. Bartlett's test (provided normality seems to hold; sample sizes do not have to be the same); c. Levene's test (normality and equal sample sizes aren't needed) d. Boxplots of residuals, or boxplots of standardized residuals, or boxplots of the original data. e. Boxplots of cats and dogs.
A. Compute the percentiles of the following areas using the standard normal table, then illustrate under normal curve. 1. the 75th percentile of the distribution 2. above 25th percentile of the distribution
1. Ten subjects were chosen for an experiment. They were asked to perform a certain physical activity. The number of heartbeats per minute, before and after experiment are recorded as follows: Subject Before After Subject Before After number number 1 60 92 72 76 2 67 79 7 71 73 72 72 8 69 81 4 71 80 75 80 68 72 10 68 76 Is there sufficient evidence to indicate that the experiment condition increases the number of heartbeats per minute? Use a .05 level of significance.
1. For each day of last year, the number of vehicles passing through a certain intersection was recorded by a city engineer. One objective of this study was to determine the percentage of days that more than 425 vehicles used the intersection. If the mean data was 375 vehicles per day and the standard deviation was 25 vehicles: (f) Suppose the relative frequency distribution for the data is bell-shaped, then what is the 97.5th percentile of the distribution? 400 325 350 425
A sample of size 8 was collected from an unknown population 0 1126 10 11 20 1. Use the table of expected z-scores (rounded to the nearest tenth) below to construct the normality plot with expected z-scores on the x-axis and the observations on the y-axis: 5 -1.2 -0.5 0 0.5 1.2 Clear All Draw: 22- 2 not normal normal 19 # 6 -1.3 -0.6 -0.2 0.2 0.6 1.3 7 -1.4 -0.8 -0.4 0 0.4 0.8 1.4 8 -1.4 -0.9 -0.5 -0.2 0.2 0.5 0.9 1.4 9 -1.5 -0.9 -0.6 -0.3 0 0.3 0.6 0.9 1.5 2. Based on whether the pattern above is linear or not, in your opinion, was the sample drawn from a normal population or not?
10. For which of the following cases would you use a t-test statistic? A. Where the population distribution is not normal, the population variance is not known and the sample size is below 25. B. Where the population distribution is not normal but the population variance is known. C. Where the population distribution is normal, the population variance is not known and the sample size is below 25. D. Where the population distribution is normal, the population variance is known and the sample size is 25 or more.
The data below show sport preference and age of participant from a random sample of members of a sports club. Is there evidence to suggest that they are related? Frequencies of Sport Preference and Age Swimming 85 ATTI Tennis Basketball 18-25 98 88 26-30 104 100 46 31-40 62 63 40 54 30 Over 40 63 What can be concluded at the = 0.10 significance level? a. What is the correct statistical test to use? O Homogeneity O Paired t-test O Goodness-of-Fit O Independence b. What are the null and alternative hypotheses? Ho: O The age distribution is the same for each sport. The age distribution is not the same for each sport. O Age and sport preference are dependent. O Age and sport preference are independent. H1: O Age and sport preference are independent. O The age distribution is not the same for each sport. O Age and sport preference are dependent. O The age distribution is the same for each sport.
The following table shows the results of an analysis of variance comparimg three treatment conditions with a sample of n = 7 participants in each treatment. Note that several values are missing in the table. What is the missing value for dfbetween? * SS df MS Between 20 XX XX XX Within XX XX 2 Total XX 16 29 O 23
Refer to the below table. Using an alpha = 0.05, test the claim that IQ scores are the same for children in three different blood lead level groups: low lead level, medium lead level, and high lead level). One-Way Analysis of Variance Summary Table for IQ Measurements for Children among Three Blood Lead Level Groups: Low Lead Level, Medium Lead Level, and High Lead Level. Source df SS MS F p Between-group (treatment) 2 469.1827 2677.864 2.30 0.104 Within-group (error) 118 203.6918 11745.05 Total 120
Question II. The following two-by-three table gives the sample proportions corresponding to different combinations of factor categories (for example, 28% of the sample fell in the cell representing category 1 of factor A and category 3 of factor B). A B .13 .19 .28 .07 .11 .22 II(a). Suppose that the sample size is n=100. Carry out a chi-squared test of independence at the 10% significance level. Make sure to state the null and alternative hypotheses, degrees of freedom, the value of your test statistic, the p-value, and the final conclusion. II(b). Now, suppose that n=1000 and repeat part 3(a). II(c). Find the smallest value of n that will result in rejection of the null hypothesis of part 3(a) at 10% level. Start by finding the appropriate x² statistic (which will depend on the n).

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