d.Explain your conclusion to reject or fail to reject the null hypothesis interms of p and a.Interpret your conclusion in the context of this problem.Explain if your conclusion agrees with the confidence interval youcalculated for this information in question 4.e.f. 6. The fuel economy sticker on a new SUV's window sticker indicates the ownercan expect 16 mpg in city driving and 20 mpg highway driving and 18 mpgoverall. Accurate gasoline records for one such vehicle were kept, and a randomsample of mileage per tank of gasoline was collected:17.6 17.7 18.1 22.0 17.0 19.4 18.9 17.4 21.0 19.218.3 19.1 20.7 16.7 19.4 18.2 18.4 17.1 17.4 15.817.9 18.0 16.3 17.5 17.3 20.4 19.1 21.0 18.1 19.019.6 18.9 16.8 18.2 17.6 19.1 18.0 16.8 20.9 17.917.7 20.3 18.6 19.0 16.5 19.4 18.6 18.6 17.3 18.7Test whether the population average mpg is actually greater than 18 mpg using a 1%level of significance.

Given information: 17.6, 18.3, 17.9, 19.6, 17.7, 17.7, 19.1, 18, 18.9, 20.3, 18.1, 20.7, 16.3, 16.8,…

Answered: 6. The fuel economy sticker on a new…

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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Use the following table for problems 1–10. The numbers represent the scores (in points) for a sample of 10 college basketball games: 66 49 32 57 35 57 39 41 33 31
Suppose you are asked to toss a coin 16 times and calculate the proportion of the tosses that were heads. a. What shape would you expect this histogram to be and why? b. Where you do expect the histogram to be centered? c. How much variability would you expect among these proportions? d. Explain why a Normal model should not be used here.
A cereal maker recently sampled 20 of its medium-size oat cereal packages to determine the weights of the cereal in each package. These sample data, measured in ounces, are given below. 14.4 14.9 18.6 14.1 18.9 14.3 15.9 18.5 17.1 18.1 18.7 16.5 17.5 13.1 16.4 15.6 17.3 18.3 13.3 13.2 Calculate the first and third quartiles for these sample data. The first quartile is oz. (Type an integer or decimal rounded to two decimal places as needed.) OZ. The third quartile is (Type an integer or decimal rounded to two decimal places as needed.) OZ.
Please define the following statistical procedures: -what is an independent samples t-test -what is a dependent samples t-test -what is a one-sample t-test
Please help me in answering the following practice question:Given a random sample of the amount of protein (in gram) in one bag of snack food: 0.95, 0.85, 0.92, 0.95, 0.93, 0.86, 1, 0.92, 0.85, 0.81, 0.78, 0.93, 0.93, 1.05, 0.93, 1.06, 1.06, 0.96, 0.81, 0.96 Here, it is assumed that the amount of protein in the snack is normal. How would I calculate a 98% two-sided confidence interval for the average amount of protein in one bag?Thank you for your help in advance!
130 adults with gum disease were asked the number of times per week they used to floss before their diagnoses. The (incomplete) results are shown below: # of times floss per week Frequency Relative Frequency Cumulative Frequency 18 0.1385 18 1 21 0.1615 39 2 20 59 3 15 0.1154 4 16 0.1231 90 10 0.0769 100 6 0.1231 116 7 14 0.1077 130 a. Complete the table (Use 4 decimal places when applicable) b. What is the cumulative relative frequency for flossing 5 times per week?
Listed below are body temperatures from five different subjects measured at 8 AM and again at 12 AM. Find the values of d and sd. In general, what does μd represent? Temperature (°F) at 8 AM 98.3 99.4 97.6 97.4 97.9 Temperature (°F) at 12 AM 98.7 99.9 98.0 97.1 98.1 Let the temperature at 8 AM be the first sample, and the temperature at 12 AM be the second sample. Find the values of d and sd.
the dataset provides information on temperature change in some provinces from china. Analyze it using SPSS and conduct any tests
Below are four bivariate data sets and their scatter plots. (Note that all of the scatter plots are displayed with the same scale.) Each data set is made up of sample values drawn from a population. A. For which data set is the sample correlation coefficient r equal to −1? B. For which data set is the sample correlation coefficient r closest to 0?
2) Now read the following data into R. Use R for all statistical procedures. Use R studio for the test.Sample Sample A B0.7969 1.4731 1.2669 3.2137 1.5856 2.2486 0.4959 1.1156 0.5022 10.6207 0.5524 1.983510.3060 31.2243 0.6244 3.7984 1.9789 1.4710 1.6788 9.0351(a) Make q-q plots of both samples. (b) Perform a t-test (Welch's test). (c) Perform a MWU test. (d) Which test gave you the better p-value now? Why? (e) What is a “better” p-value? Why? (f) This is two sided - why?
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Which of the following research scenarios uses a two samples independent-measures t test? a. Examine the difference in self-esteem between student athletes and non-athletes. b. Evaluate the effectiveness of a pain reliever by measuring how much pain is reduced after taking the medication in a single group of people who rated pain, then took the drug and rated pain a second time. c. Test the effectiveness of a cholesterol medication by comparing cholesterol levels before and after the medication is administered to a single group. d. Calculating the z score for the highest X in the data set.

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