The following that represent the number of packages of 5 popular brands of cigarettes sold by a supermarket on 8 randomlyselected days:B12AE21355332 3547 41316033 3240422945293127 452336281419314023223625382043483542294230Perform an analysis of variance, at the 0.05 level of significance, and determine whether or not the 5 brands sell, on theaverage, the same number of cigarettes at this supermarket.Solution:I.II.II.Hypothesis:Level of significance:ANOVA TĂBLE:Source ofVariationDegrees ofFreedomComputed (f)Tabulated(f)Sum of SquaresMean SquareColumnErrorTotalComputations: (PRINT-SCREEN YOUR EXCEL SOLUTION)IV.V.DECISION:Conclusion

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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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The following table includes point totals for each basketball game over the course of a 48-game season: 65 43 28 52 61 59 47 61 64 74 63 77 82 75 65 49 61 62 61 64 58 56 22 74 69 43 58 62 61 69 77 61 57 59 63 73 32 65 70 69 73 62 61 42 58 65 58 43 a. Determine the mean, mode, median, range, and interquartile range (IQR). b. Calculate the variance and standard deviation. c. Construct a box-and-whisker plot for these data.
Given the data below, compute the Mean, Median, Mode, Variance, and Standard Deviation. for: Ungrouped Data 63 54 31 14 20 69 4 30 42 18 1000万744107 75 49 45 60 44 72 23 34 66 58 8 42 89 24 4 55 70 88 71 93 5 28 12 45 83 93 40 94 43 41 34 41 93 81 55 68 9 37 1 76 53 79 41 55 35 8 Upload your solution and answer in an excel file.
A university employment office wants to compare the time taken by graduates with three different majors to find their first full-time job after graduation. The following table lists the time (in days) taken to find their first full-time job after graduation for a random sample of eight business majors, seven computer science majors, and six engineering majors who graduated in May 2019. find the values A to H
Consider a sample with data values of 10, 40, 60, 80, 90. Compute the variance. Select one: O a. 824 O b. 28.71 О с. 1030 O d. 56 О е. 32.09
. Each member of a large genetics class grows 12 pea plants from an independent pea family. Each family is expected to have 3/4 plants with smooth peas and 1/4 plants with wrinkled peas. a. On average, how many wrinkled pea plants will a student see in her 12 plants? b. What is the standard deviation of the proportion of wrinkled pea plants per student? c. What is the variance of the proportion of wrinkled pea plants per student? d. Predict what proportion of the students saw exactly two wrinkled pea plants in their sample.
1. The following data gives the number of social interactions of longer than 10 minutes in one week for a group of college students. 12 2 7 17 22 27 32 37 42 47 Compute the range, variance, and standard deviation.
Consider the following observed weights (in kilograms) of a randomsample of 20 learners and use it to estimate the true value of theaverage weight of learners enrolled in the class. 40 45 46 48 48 50 55 55 56 5858 59 60 60 62 62 64 64 65 66 1. Compute the mean.2. Interpret the result.
A sales analyst wants to determine whether there is a difference in the mean monthly sales of a company's four sales regions. Several salespersons from each region are randomly selected and they provide their sales amount (in thousands of dollars) for the previous month. Using a 1% significance, can we conclude at least one region is different on average? North East South West 27 28 16 26 38 23 22 29 19 | 17 16 26 29 25 25 34 26 23 What is the factor variable? Region What is the response variable? Sales Amount Test statistic: P-value:
Consider the sample of 65 customer satisfaction ratings given in the table (below). 39 46 42 40 45 44 44 44 45 45 44 46 46 46 41 46 46 38 40 40 41 43 38 48 39 42 39 47 43 47 43 44 41 42 40 44 39 43 36 41 44 41 42 43 43 41 44 45 42 38 45 45 46 40 44 44 47 42 44 45 45 43 45 44 43 Click here for the Excel Data File Carry out a chi-square goodness-of-fit test of normality for the population of all customer satisfaction ratings using α = .05. Recall that we previously calculated x⎯⎯x¯ = 42.95 and s = 2.6424 for the 65 ratings. Use the Empirical Rule to create the intervals. (Round your expected frequencies to 2 decimal places. Round your answer to 3 decimal places.)

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