2. Four basketball teams took a random sample of players to test how high eachplayer can jump (in inches). The results are shown in Table.Team 1Team 2Team 3Team 43632483842355044513844414033464345395239Using ANOVA, test whether the basketball teams have player with different jumpingability. Determine the differences between means at significance level of 5%.If there are differences between the means, conduct a post-hoc test using LSD.

The following information has been given: Team 1 Team 2 Team 3 Team 4 36 32 48 38 42 35 50 44…

Answered: 2. Four basketball teams took a random…

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 forester is studying the number of cavity trees in old-growth stands in Adirondack Park in northern New York. He wants to know if there is a significant difference between the mean number of cavity trees in the Adirondack Park and the old-growth stands in the Monongahela National Forest. He collects two independent random samples from each forest. Use a 5% level of significance to test this claim. , compute for the test statistics t. Monongahela Forest Adirondack Park n2 = 56 stands n = 51 stands X2 - 43.9 X1 = 39.6 s2 = 10.7 s1 = 9.4
A power analysis is a calculation used to estimate the smallest sample size needed for an experiment, given a required significance level, statistical power, and effect size. It helps to determine if a result from an experiment or survey is due to chance, or if it is genuine and significant. Think of an experiment or a survey that you have conducted or will conduct in your field of interest and use it to discuss the following questions: 1. Describe the importance of power analysis in an experiment. 2. How will you determine the appropriate significance level for a power analysis? 3. Explain, in your own words, how you will conduct a power analysis in your experiment or survey.
To decide between using an independent-samples t test and a one-way ANOVA, which question should the researcher ask? a. Is the population mean known b. Is the goal to measure association or to make a prediction c. Are there more than two levels of the independent variable d. Is the research deisgn between-groups or within-groups
4. Researchers are interested in the average heart rate of male college students. Assume a random sample of 130 male college students were taken from 200 students for the study. Find a 95% confidence interval for the actual proportion of students.
Do male and female college students have the same distribution of living arrangements? Use a level of significance of 0.05. Suppose that 87 randomly selected male college students and 95 randomly selected female college students were asked about their living arrangements: dormitory, apartment, or other. The results are shown in Table. Do male and female college students have the same distribution of living arrangements? Dormitory Apartment Other Male 37 45 5 Female 38 37 20 What is the chi-square test-statistic for this data?χ2=
An assembly line will be shut down for maintenance if the defect rate exceeds 2.3%. Suppose you adopt a 5% significance level and take a random sample 200 items off the assembly line and compute the proportion that are defective. For what values of the sample proportion will the assembly line be shut down?
40 people are randomly sent to walk one of four trails. The time (in minutes) they spend completing each trail is recorded in the table below. (a) Test to see if the times needed to complete a trail vary. Use a 0.05 significance level. (b) Test each pair (A/B, A/C, A/D, B/C, B/D, C/D) to see which trails have a statistically significant difference. Indicate your p-value for each comparison, and when the effect is statistically significant (use 0.05 as your significance level), declare which trail of the two takes more time to complete. Trail A - 30, 33, 41, 27, 36, 31, 37, 40, 29, 35 Trail B - 27, 33, 38, 41, 40, 38, 35, 44, 41, 39 Trail C - 25, 34, 41, 39, 32, 30, 36, 35, 27, 33 Trail D - 41, 39, 46, 37, 40, 42, 50, 42, 50, 33, 47, 43
Suppose an instructor would like to know if there is difference in the performance of her two courses of 560 students each. She proceeds to take a random sample of size 50 from each independent class and was able to establish the following results: mean SD Class 1 86 17 Class 2 78 15 Is there a significant difference between the two classes at a significance level of five percent?
A physician who specialized in weight control has three different plans he recommends. TTISIT As an experiment, he randomly selected 12 patients and then assigned 4 to each diet. After three weeks, the following weight losses, in pounds, were noted. Plan A Plan B Plan C 15 15 19 16 17 19 Grand Mean=17 14 19 21 15 17 17 Mean 2=17 Mean 3=19 Mean1=15 Use 0.05 significance level, to test if the plans are different. Question: Calculate the following, only: The SStotal, the SSE, the SST, dfT, dfE, VarT, VarE, and the test statistic F. Note: Write the details of your calculations for the Sum of Squares, only, and the final Result for the others. Type your answers on the Response Template. (without the formulas).
4-50 The physical therapist from Exercise 4-48 is also interested in studying the relationship between foot injuries and position played. His data, gathered over a 3-year period, are sum- marized in the following table: Offensive Defensive Offensive Defensive Line Line Backfield Backfield Number of players 45 56 24 20 Number injured 32 38 11 Given that a randomly selected player incurred a foot injury, what is the probability that he plays in the (a) offensive line, (b) defensive line, (c) offensive backfield, and (d) defensive backfield? II
Listed below are the lead concentrations (in µg/g) measured in different Ayurveda medicines. Ayurveda is a traditional medical system commonly used in India. The lead concentrations listed here are from medicines manufactured in the United States. Assume that a simple random sample has been selected. Use a 0.01 significance level to test the claim that the mean lead concentration for all such medicines is less than 14.0 μg/g. 2.95 6.46 6.00 5.46 20.49 7.51 12.02 20.45 11.50 17.54 Identify the null and alternative hypotheses. Ho H₁: (Type integers or decimals. Do not round.)
Primary seat belt laws allow police to stop a motorist for not wearing a seat belt. According to the National Highway Traffic Safety Administration, the percentage of drivers wearing seat belts in the Limpopo province was 68.5% in 2017 and 72% in 2018. Assume that these percentages are based on random samples of 1000 drivers in 2017 and 1050 in 2018. Suppose you must test at 5% level of significance whether the proportion of all drivers in Limpopo province who used seat belts in 2017 is lower than that for 2018. 1 Questions I) Determine the alternative hypothesis to be tested: II) Determine the value of test statistic: III) Determine the p-value for this problem: IV) the conclusion Since Z=-1.734 is greater than Z subscript 0.05 end subscript equals negative 1.645, we then reject the null hypothesis at 5% level of significance and conclude that the proportion of all drivers in Limpopo province who used seat belts in 2017 is lower than that for 2018. b) Since Z=-1.734 is less…

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