2. The tabulated data represent tests run by three differentoperators on four different types of equipmentEstablish by analysis of variance whether there issignificant between operators & find freedom degree,show the hypothesis and the decision , Note thatdegree of confidence = 95% , and F tabulated = 8.02EquipmentOperators1st2nd3rd4th20161018141214201441412ABC 2. The tabulated data represent tests run by three differentoperators on four different types of equipmentEstablish by analysis of variance whether there issignificant between operators & find freedom degree,show the hypothesis and the decision , Note thatdegree of confidence = 95% , and F tabulated = 8.02EquipmentOperators1st2nd3rd4th20161018141214201441412ABC

Since you have asked multiple questions, we will solve the first question for you. If you want any…

Answered: 2. The tabulated data represent tests…

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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An I/O psychologist wants to know if there is a difference in worker evaluations depending if the evaluator is a male or female. 15 men and 15 women managers were asked to rate on a scale of 0-10 the same group of worker files. The ratings on the worker evaluations were recorded for each manager. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVA
Find the test statistic and conclusion
B. A sample data has a distribution that has a single mode and is strongly positively skewed. An analyst computes three measures of location for this data; the mean, the median and mode. (i) State the largest of these three location measures. (ii) Suggest, with a reason, which would be the best measure of location.
13. A report suggests that graduating from college during bad economic times can impact the graduate's earnings potential for a long time. Time admissions director at a regional state university wants to determine if the starting salary of his college graduates has declined from 2018 to 2020. He expects the variance of the salaries to be different between these two years. He uses the dataset labeled "salaries". 14. At the 5% significance level, determine if the mean starting salary has decreased form 2018 to 2020. 15. Does changing the significance level to 10% change your conclusion in part 14? A B 1 Salary_2018 Salary_2020 2 35000 34000 3 56000 62000 4 49000 36000 5 52000 45000 6 47000 68000 7 48000 36000 8 59000 41000 9 48000 69000 10 52000 67000 11 45000 41000 12 65000 69000 13 44000 26000 14 44000 29000 15 44000 50000 16 41000 50000 17 44000 50000 18 54000 50000 19 38000 50000 20 55000 50000 21 48000 50000 22 47000 50000 23 45000 50000 24 36000 48000 25 50000 65000 26 49000 68000…
Using a sample of 500 adults with the following variables: genhelf - variable recording general self- reported health coded 1 = very good, 2 = good, 3 = fair, 4 = poor sbp - variable recording systolic blood pressure - age - age of the respondent in years sex coded 1 = male and 2 = female hi_sbp - indicator of high blood pressure coded 1 if the respondent's sbp is 130 or higher and 0 otherwise What type of chart is MOST appropriate for the variable sbp? a/ pie chart b/ bar chart c/ histogram
Answer part c,d,e Please provide typed answers. ONLY TYPED ANSWERS.
Use a 0.05 significance level to test the claim that males and females have the same mean BMI Male BMI n=80 * = 26.3 s = 5.4 Female BMI n=61 I = 28.4 s = 7.4
Determine if there is a significant negative correlation between the sets of data at a 10% significance level. 41 39 52 33 39 47 58 61 60 y 28 33 14 41 32 21 8 4 5 Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Condusion: O Fail to Reject Họ. There is not enough evidence to suggest a negative significant linear correlation between the data sets. O Reject Ho. There is enough evidence to suggest a negative significant linear correlation between the data sets.
Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
What is the value of the standard score for the sample proportion?

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