What does this information tell you about the variability of employees ages? make a conclusion. ProblemABC company hired 10 employees, the ages of each employees are as follows:23; 22; 21; 25; 27; 24; 30; 27; 22; 22X-Mean IX-Meanl (X-Mean)^2x^221-3.33.310.8944122-2.32.35.2948422-2.32.35.2948422-2.32.35.2948423-1.31.31.6952924-0.30.30.09576250.70.70.49625272.72.77.29729272.72.7729305.75.732.49900N=1023.676.15981Mean24.3Measures of VariabilityRange:Sample VarianceSample Standard DeviationCoefficient of variation7.612.760.1135

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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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Similar questions

Explain the logic behind the equations for the mean and standarddeviation for grouped data, starting from the original equationsfor a simple list of data values
A researcher wants to test the difference in the mean scores of two independent groups on a standardized test. Group 1 has a sample size of 40 and a mean score of 72, while Group 2 has a sample size of 50 and a mean score of 68. Is there a significant difference in the mean scores of the two groups?
The manager of Microsoft wants to study the # of hours per week employees spend at their desktop computers by type of industry. The manager randomly selected a sample of 5 executives from each of 3 industries studied. At the 0.05 siginificance level, can she conclude there is a difference in the mean number of hours spent per week by industry? Construction - 12, 10, 10, 12, 10 Energy - 8, 8, 6, 8, 10 Manufacturing - 10, 8, 6, 8, 10 What is the decision rule? (round 2 decimal places) (F 0.05 > ?) Complete the ANOVA Table: Source SS df MS F Treatments Error
A school principal claims that the grade 11 students in her high school have a mean score of 92. parameter:claim: mean score of 92null hypothesis:
An obstetrician wanted to know the effectiveness of two methods of relieving pain in women due for child delivery. Specifically, she wanted to see if there is a difference in the mean duration of active labor (in minutes) in women introduced to these methods. A total of 28 women were enrolled in the study with fourteen subjects receiving continuous epidural infusion (Group A), while the other fourteen received hourly intermittent epidural injection (Group B). The mean duration of active labor for Group A was 134.1 with a standard deviation 79.79 minutes while for Group B, it was 83.2 ± 46.01 minutes. Does this suggest that there is a difference in the effects of the two methods in terms of reducing the duration of active labor? Use an alpha of 0.05 for this scenario.
The manager of a computer software company wishes to study the number of hours seniorexecutives by type of industry spend at their desktop computers. The manager selected asample of 10 executives from each of three industries. At the .05 level of significance, canshe conclude there is a difference in the mean number of hours spent per week by industry?
The director of research and development is testing a new medicine. She wants to know if there is evidence at the 0.01 level that the medicine relieves pain in more than 335 seconds. For a sample of 85 patients, the mean time in which the medicine relieved pain was 338 seconds. Specify the type of hypothesis test. -Left tailed test -Right tailed test -Two Tailed test
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the tampa bay (florida) area chamber of commerce wanted to know wheither the mean weekly salary of nurses was larger than that of school teachers. to investigate , they collected the follow information on the amount earned last week by a sample of school teachers and sample of a nurse. school teacher 1095 ,1075 ,1077, 1125 , 1034,1059, 1052 ,1070, 1079 , 1084. nurse 1091 ,1140,1071,1021,1100,1109,1075,1081 is it reasonable to conclude that the mean weekly salary of nurses is higher? use the 0.01 significance level. it is assumed the sampled poplulation have equal but unknown standard deviation.
Suppose that you wanted to compare your company’s premium brand of tire (Brand A) against two major competitor’s brands (Brand B and Brand C). You have set up a laboratory test of the three types of tires, and you have measured the number of simulated miles or the distance driven before the tread length reached a pre-determined amount. At the 5% significance level, perform an analysis to determine if the mean distance driven before the tread length of the tire reached a pre-determined amount differ significantly among the three tire brands.
The term “bleeding heart liberal” is due to the (supposed) excess sympathy that liberals feel for criminals, the poor, the sick, and other marginalized groups. At the same time, however, members of marginalized groups are also more likely to be liberal, arguably because they themselves have experienced circumstances that make them more empathetic to the plight of others. If this hypothesis is true, we might expect that self-proclaimed liberals would have higher mean scores on an index capturing the number of “bad things” that have happened to them in the last year. In the GSS, of 56 persons claiming to be “strong conservatives,” the mean score on such an index was 3.75 (sd = 4.15), while, of 46 persons claiming to be “strong liberals,” the mean score on the index was 4.4 (sd = 2.30). Is the hypothesis reasonable?
A principal of high school was concerned with amount of time her students devote to working at after-school jobs. She randomly selected 25 students, obtained their working _hours for 1 week and computed X = 12.5 hours and s = 3.9 hours. She claims that her students work significantly more than the mean of 10.7 hours from a study conducted by the National Association of State High School Association. Test her claim by using the 5% level of significance.

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