Q3/A: The following table shows the number of credit hours registered for 20students in a class randomly selectedClass4-67-910-1213-15frequency1- The sample mean is:a) 4.682- The class that contain the median is:478b)8.9c)9.8d)17.8e) non of thesesa) 4-6b)7-9c)10-12d)13-153-The modal class is:a) 4-6b)7-9c)10-12d)13-15

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Answered: Q3/A: The following table shows the…

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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1 the commuting times of an employee are show in 10 consecutive days in minutes: 71 67 67 70 78 72 75 70 74 77 The interquartile range of the data set is 5 minutes. interpret this IQR in context A. the middle 50% of the sorted commute times has a range of 5 minutes B. the most common commute tint was 5 minutes c. the average commute time was 5 minutes D. the median of the commute time is 5 minutes 2. suppose a random sample is taken of 90 students in a tech class and the researchers recorded the number of minutes spent on a smart phone during a typical day and the students overall GPA. the explanatory variable is the number of minutes spent on a smartphone each day. the researcher notices a linear trend on the scatterplot and creates a linear regression model. she finds a correlation coefficient of -0.91. which of the following statements is the best interpretation of this correlation? A. spending more minutes on a smartphone each day causes a student to have a lower GPA B.…
From this population data set: (3, 6, 9, 12, 18), how many possible samples with sample size of 3 can be chosen? O a. 3 O b. 5 O c. 10 Od. 15
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 37 46 59 83 225 No 213 204 191 167 775 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
Here is a set of sample data 4 10 27 34 7 22 25 38 39 42 47 53 54 55 59 77 85 86 94 Identify the 5 number summary (min, Q1, median, Q3, max) 255 N3l5lco
Below are the results of the final exam that a class took from the statistics course, in branch-leaf representation. For unclassified data given in the table a) Calculate the arithmetic mean, mode and median values. b) Find the quarter values of Q1 and Qa. c) Calculate the population variance and standard deviation values. d) Make the box drawing.
A television station wishes to study the relationship between viewership of its 11 p.m. news program and viewer age (18 years or less, 19 to 35, 36 to 54, 55 or older). A sample of 250 television viewers in each age group is randomly selected, and the number who watch the station’s 11 p.m. news is found for each sample. The results are given in the table below. Age Group Watch11 p.m. News? 18 or less 19 to 35 36 to 54 55 or Older Total Yes 49 59 61 84 253 No 201 191 189 166 747 Total 250 250 250 250 1,000 (a) Let p1, p2, p3, and p4 be the proportions of all viewers in each age group who watch the station’s 11 p.m. news. If these proportions are equal, then whether a viewer watches the station’s 11 p.m. news is independent of the viewer’s age group. Therefore, we can test the null hypothesis H0 that p1, p2, p3, and p4 are equal by carrying out a chi-square test for independence. Perform this test by setting α = .05. (Round your answer to 3 decimal places.)…
A random sample of 10 compact cars, 10 mid-size cars, and 10 luxury cars were selected. The time (in seconds) each of the randomly selected cars required to accelerate from 0 to 60 mph was looked up on the Autos.com website. The results are presented below. Car Type Time (in seconds) Required to Accelerate from 0 to 60 mph Compact 9.3 8.1 10.2 8.8 9.0 9.3 7.7 9.2 9.4 8.6 Mid-Size 6.9 5.7 8.3 7.7 8.6 5.9 6.1 8.8 6.1 7.2 Luxury 5.7 6.3 5.4 4.7 6.2 7.0 5.9 5.3 6.3 5.0 Conduct a hypothesis test using ! = 0.05 to determine whether the mean time required to accelerate from 0 to 60 mph is the same for compact, mid-size, and luxury cars. (No accounting or excel, I need help solving it.)
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The following scores were obtained by eleven soccer players in a goal-shoot competition: 5,3, 6, 8,7, 8, 3, 11,6, 3, 2 What is the median of these scores 3 8 6 11
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For 20 consecutive weeks, a store owner recorded a sample number of customers each week as follows: 300 400 324 326 327 329 415 362 321 375392 383 345 391 395 400 362 396 420 430 Compute for the following:a. Medianb. Sample Variancec. Skewness Coefficient (Use Pearson’s Second Coefficient)

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