Cost per serving (in cents) for six high-fiber cereals rated very good and for nine high-fiber cereals rated good are shown below.Cereals Rated Very Good44 47 63 43 17 76Cereals Rated Good73 30 52 52USE SALT69 41 47 29 56Compute the lower quartile, median, upper quartile, and interquartile range for the cereals rated very good.lower quartilecentsmedianupper quartileinterquartile rangecentscentscentsCompute the lower quartile, median, upper quartile, and interquartile range for the cereals rated good.lower quartilecentsmediancentsupper quartilecentsinterquartile rangecentsWrite a few sentences describing how these two data sets differ with respect to center and variability. Use the summary statistics found above to support your statements.The median cost per serving is ---Select--- ✓for cereals rated good compared to cereals rated very good. The interquartile range is ---Select--- ✓for cereals rated good compared to cereals rated very good, reflecting a [---Select--- spread in the distribution for cereals rated good.

Cereals rated very good : { 44,47,63,43,17,76 } N = 6Cereals rated good : {…

Answered: Cost per serving (in cents) for six…

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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B and C please
The figure shows population density (people per square mile) for all states of a certain country. The states are divided into four geographical regions: A, B, C, and D. Answer the questions below. D- 0 100 200 300 400 500 600 700 800 900 1000 1100 People per Square Mile Why is it best to compare medians and interquartile ranges for these data, rather than comparing means and standard deviations? OA. These data are fairly symmetric and do not have outliers, and the median and interquartile range provide more reliable information in these circumstances. B. Some of these data have outliers and/or are skewed, and the median and interquartile range amplify the effects of outliers and skewness. OC. Some of these data have outliers and/or are skewed, and the median and interquartile range are resistant to outliers. OD. Some of these data have vastly different centers, and the median and interquartile range provide more reliable information in these circumstances. List the approximate median…
Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 75 62 64 63 62 70 69 70 67 Weight (lbs) 325 250 280 220 235 265 200 365 175 (CLO 2) Test a claim that the mean height of people you know is not equal to 64 inches using the p-value method or the traditional method. State H0 and H1. Find the p-value or critical value(s). Draw a conclusion. (CLO 3) Find the correlation coefficient between height and weight. Construct the equation of the regression line and use it to predict the weight of a person who is 68 inches tall.
The data show the number of hours of television watched per day by a sample of 28 people. Use technology to answer parts (a) and (b) below. 0 9 00 6 8 = 5 5 3 0 F3 4 3 4 -6 a. Find the data set's first, second, and third quartiles. Q₁ = Q₂ = Q3 (Type integers or decimals. Do not round.) 5 1 2 3 7 3 9 287 5 9 2 b. Draw a box-and-whisker plot that represents the data set. Choose the answer below. Note that different technologies will produce slightly different results. O A. B. 670 9 6 3 2 0 -co C. 0 3 6 -S 9 N
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Manufacturer 1 2 3 25 34 15 31 32 14 29 37 18 27 33 17 a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Sum of squares, treatment = Sum of squares, error = Mean squares, treatment = mean squares, error = Calculate the value of the test statistic (to 2 decimals). The P-value is: Less than 0.01, between 0.01 and 0.025, between 0.025 and 0.05, between 0.05 and 0.10, greater than 0.10 What is your conclusion? b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. What conclusion can you draw after carrying out this test?
A company's price/earnings (P/E) ratio is the company's current stock price divided by the latest 12 months' earnings per share. Suppose the following table shows the P/E ratios for a sample of 10 Japanese companies and 12 U.S. companies. Japan P/E Ratio 152 28 19 127 38 212 65 664 32 69 United States P/E Ratio 16 25 25 42 23 Find the value of the test statistic. W = 15.16 X 15 28 15 28 39 17 15 Is the difference between the P/E ratios for the two countries significant? Use the MWW test and α = 0.01 to support your conclusion. State the null and alternative hypotheses. Ho: The two populations of P/E ratios are identical. H₂: The two populations of P/E ratios are not identical. O Ho: Median for Japanese companies - Median for U.S. companies 20 H₂: Median for Japanese companies - Median for U.S. companies 0 O Ho: Median for Japanese companies - Median for U.S. companies > 0 H₂: Median for Japanese companies - Median for U.S. companies = 0 O Ho: The two populations of P/E ratios are not…
A company's price/earnings (P/E) ratio is the company's current stock price divided by the latest 12 months' earnings per share. Suppose the following table shows the P/E ratios for a sample of 10 Japanese companies and 12 U.S. companies. Japan P/E Ratio 152 28 19 127 38 212 65 664 32 69 United States P/E Ratio 16 25 25 42 23 15 Find the value of the test statistic. W = 16 X 28 15 28 39 17 15 Is the difference between the P/E ratios for the two countries significant? Use the MWW test and a = 0.01 to support your conclusion. State the null and alternative hypotheses. O Ho: The two populations of P/E ratios are identical. H₂: The two populations of P/E ratios are not identical. O Ho: Median for Japanese companies - Median for U.S. companies > 0 H₂: Median for Japanese companies - Median for U.S. companies 0 O Ho: Median for Japanese companies - Median for U.S. companies > 0 H₂: Median for Japanese companies - Median for U.S. companies = 0 O Ho: The two populations of P/E ratios are not…

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