MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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Calculate t for the comparison of the
CA CB CC CD
4 6 8 9
5 7 9 9
8 9 10 10
7 7 9 10
5 7 9 8
6 7 7 9
7 9 10 11
3 5 6 7
5 4 7 7
6 7 9 10
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- The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a =0.01. Welght, x Varlablity in braking distance, y 5960 5390 6500 5100 5870 4800 2 1.75 1.95 1.93 1.57 1.64 1.50 E Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: P Vo Hạ: p Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical values are -to = and to = O B. The critical value is. Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? a significant linear correlation between vehicle weight and variability in braking distance on a dry surface. There Venough evidence…arrow_forwardExecutives of a supermarket chain are interested in the amount of time that customers spend in the stores during shopping trips. The mean shopping time, μ, spent by customers at the supermarkets has been reported to be 38 minutes, but executives have good reason to believe that u is different from 38 minutes. The executives hire a statistical consultant and ask her to perform a statistical test. To perform her statistical test, the consultant collects a random sample of shopping times at the supermarkets. She computes the mean of these times to be 44 minutes and the standard deviation of the times to be 10 minutes. Based on this information, complete the parts below. (a) what are the null hypothesis Ho and the alternative hypothesis H₁ that should be used for the test? Ho H₁ :0 (b) Suppose that the consultant decides not to reject the null hypothesis. What sort of error might she be making? (Choose one) ▼ (c) Suppose the true mean shopping time spent by customers at the supermarkets is…arrow_forwardWe will rank the y-values of the following data set: x y -2 -11 -0.8 -11.9 0.7 11.7 1.7 12.2 2.4 1.8 4.6 9.4 6 11.9 7.8 33.4 8.4 27 9.7 21.5 The scatterplot of the data looks like this: 123456789101112-1-2-3-4-5123456789101112131415161718192021222324252627282930313233343536-1-2-3-4-5-6-7-8-9-10-11-12-13-14 Fill in the following table: x y x-rank y-rank -2 -11 1 -0.8 -11.9 2 0.7 11.7 3 1.7 12.2 4 2.4 1.8 5 4.6 9.4 6 6 11.9 7 7.8 33.4 8 8.4 27 9 9.7 21.5 10arrow_forward
- Use Spearman rho formula to determine if there is a correlation between the English and Math score of 10 students English 86 76 46 71 82 64 58 80 75 61 Math 66 80 40 60 65 56 58 77 67 81 Ho: Ha: Calculated Value: Tabulated Value: Decision: Conclusion:arrow_forwardEnsure the RaceResults worksheet is active, then use the FREQUENCY function to calculate the frequency distribution of the race results in column D. Place your results in the range G4:G9. Enter a function in cell F22 to calculate the correlation between age (Columns C) and race time (Column D). Enter a function in cell G22 to calculate the covariance between age and race time. Enter a function in cell H22 to calculate the variance of the ages in the data set. Note this is a sample of data not a population. Enter a function in cell 122 to calculate the standard deviation of the ages in the data set.arrow_forwardThe readout of the correlation is r = 0.8162 with a p-value of 0.0022. What does the scatterplot reveal that is missed from the correlation results?arrow_forward
- Calculate Pearson's correlation coefficient using the following values: (image attached)arrow_forwardSuppose the average height of all humans is normally distributed with a mean of 72 inches and a variance of 18 inches. Use this information to answer the following three questions. 1. Determine P(75<x<84). 2. Determine P(x>80). 3. Determine P(x < 65).arrow_forward
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