The table below shows the number of hours per day 11 patients suffered from headaches before and after 7 weeks of soft tissue therapy. At a =0.01, is there enough evidence to conclude that soft tissue therapy helpspatients suffer from headaches? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (f).PatientDaily headache hours (before) 2.9 3.2Daily headache hours (after) 1.7 3.6 2.2reduce the length of time1 23457 83.8 2.53.5 2.2 1.2 2.9 4.39 10 11 e1.8 3.3 3.83.4 1.8 4.41.81.11.11.4(a) Identify the claim and state Ho and HThe claim is "The therapy helps to reduce the length of time patients suffer from headaches."Let Ha be the hypothesized mean of the patients' daily headache hours before therapy minus their daily headache hours after it. State Ho and H. Choose the correct answer below.O A. Ho: Ha sdO B. Ho: Hg s0H H >0OC. Ho: Hg dO D. Ho: Ha20OE. Ho Ho =dOF. Ho: Hgzd

Answered: Image /qna-images/answer/a0c00059-1e92-44a6-84e5-b3631fa234e8.jpg

Answered: The table below shows the number of…

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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Compute the value of the test statistic and conclude.
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J In-shop othesis test for the difference between two population proportions 02562 2600368.qx3zqy7 Jump to level 1 The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Y Pick Drive-through Successes 27 Successes What is the level of significance? Ex: 0.12 Observations 76 Observations 41 119 0.345 p-hat_1 0.355 p-hat_2 What is the null hypothesis Ho? Pick Confidence Level 0.1429 What is the alternative hypothesis Ha? Pick p-value Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. 2 p W
The weight of a car can influence the mileage that the car can obtain. A random sample of 19 cars was taken and the weight (in pounds) and mileage (in mpg) were recorded and are in the table below. X, weight Y, mileage 2250 38.9 4500 17 4000 23.1 4500 19.5 3500 31.3 3500 31.3 3500 32.6 4000 23.4 4500 17.2 3500 28 5500 13.2 3500 28 2250 41.1 2500 40.9 2250 53.3 4000 23.6 3000 31.4 2750 46.9 3000 31.5 a) The symbol and value of the correlation coefficient are as follows: Round final answer to 2 decimal places. Select an answer r R² ρ ŷ y p̂ X̄ p μ σ s = Interpret this value: There is a strong Select an answer positive negative Select an answer linear quadratic bell-shaped uniform relation between weight and mileage for cars. b) The symbol and value of the coefficient of determination are as follows: Round final answer to 2 decimal places. Select an answer r r² ρ ŷ y p̂ X̄ p μ σ = Interpret this value: About…
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Zoologists are studying weights of captive timber wolves in three countries: the United States, England, and Japan. They want to compare the average weights of the captive wolves to see if there is a difference. A random sample of reported weights was taken. Let a = 0.05. Sum of Mean Source of Variation df Squares Squares Between Groups 389.04 2 194.52 6.6998 Within Groups 696.81 24 29.03375 Total 1,085.85 26 Summary data are in the table below. United England Japan States n 10 Mean 66.4 60.2 57.4 Standard 4.7 5.9 5.6 Deviation (a) What is the q critical value? (Use a table. Round your answer to two decimal places.) What is the number of intervals required? (b) Give the interval for the true difference in the mean weights of captive wolves in the United States and Japan. (Round your answers to three decimal places.) (c) Determine whether the following statement is true or false. The interval (-3.735, 9.335) is significant at a = 0.05. True False
A manufacturer of exercise equipment wanted to collect data on the effectiveness of their equipment. A magazine article compared how long it would take men and women to burn 200 calories during light or heavy workouts on various kinds of exercise equipment. The results summarized in the accompanying table are the average times for a group of physically active young men and women whose performances were measured on a representative sample of exercise equipment. Assume normality of the population. Complete parts (a) through (c) below. Click the icon to view the data table. C a) On average, how many minutes longer than a man must a woman exercise at a light exertion rate in order to burn 200 calories? Find a 95% confidence interval. minutes (Round to one decimal place as needed.) b) Estimate the average number of minutes longer a woman must work out at a light exertion than at heavy exertion to get the same benefit. Find a 95% confidence interval. (₁) minutes (Round to one decimal place…
A researcher hypothesizes that different colors of cars result in different average speeds. To test this claim, she took a random sample of 20 people who own 4 different colors of colors of cars (n = 20, N = 80, G = 4), and she then tracks their average speed on the highway for a week of driving. The following ANOVA table has some of her results. Please help her answer her research questions by completing the following ANOVA table below and answering the follow-up questions. Be sure to label your answers with the appropriate letter and show all your work! Source Sums of Squares df Mean Square F Effect (between) Error (within) 100.90 ------ Total 170.10 ------- ------ a) What is the Sums of Squares (SS) between (effect)? b) What are the Mean Square (MS) between (effect) and the MS within (error)? c) What are the degrees of freedom (df) between, the df within, and the df total? d) What is the overall F-statistic? e) Based on the…
Bighorn sheep are beautiful wild animals found throughout the western United States. Let x be the age of a bighorn sheep (in years), and let y be the mortality rate (percent that die) for this age group. For example, x = 1, y = 14 means that 14% of the bighorn sheep between 1 and 2 years old died. A random sample of Arizona bighorn sheep gave the following information: x 1 2 3 4 5 y 13.8 19.3 14.4 19.6 20.0 Σx = 15; Σy = 87.1; Σx2 = 55; Σy2 = 1554.45; Σxy = 274b) Find the equation of the least-squares line. (Round your answers to two decimal places.) ŷ = + x (c) Find r. Find the coefficient of determination r2. (Round your answers to three decimal places.) r = r2 = d) Test the claim that the population correlation coefficient is positive at the 1% level of significance. (Round your test statistic to three decimal places.) t =
Tourism is extremely important to the economy of Florida. Hotel occupancy is an often-reported measure of visitor volume and visitor activity (Orlando Sentinel, May 19, 2018). Hotel occupancy data for February in two consecutive years are as follows. Current Year 1,394 1,700 Occupied Rooms Total Rooms a. Formulate the hypothesis test that can be used to determine whether there has been an increase in the proportion of rooms occupied over the one-year period. Let p₁ = population proportion of rooms occupied for current year P2 = population proportion of rooms occupied for previous year 0.82 Previous Year 1,404 1,800 Ho: P1 P2 less than or equal to 0 Ha P₁ P2 greater than 0 b. What is the estimated proportion of hotel rooms occupied each year (to 2 decimals)? Current year Previous Year c. Conduct a hypothesis test. What is the p-value (to 4 decimals)? Use Table 1 from Appendix B. 0.78
Can movie rental revenue be predicted? A movie studio wishes to determine the relationship between the revenue from rental of comedies on streaming services and the revenue generated from the theatrical release of such movies. The studio has the following bivariate data from a sample of fifteen comedies released over the past five years. These data give the revenue x from theatrical release (in millions of dollars) and the revenue y from streaming service rentals (in millions of dollars) for each of the fifteen movies. Also shown are the scatter plot and the least-squares regression line for the data. The equation for this line is y = 3.75 +0.14x. Theater revenue, x (in millions of dollars) Rental revenue, y (in millions of dollars) 27.0 13.0 60.4 15.5 18. 25.9 6.6 16- 13.1 9.9 14- 44.8 6.7 49.1 16.0 36.1 12.3 31.4 4.7 25.5 9.5 6.6 2.9 66.8 9.4 10 20 61.4 9.6 Theater revenue 28.0 2.5 (in millions of dollars) 14.7 1.7 20.4 5.7 Send data to calculator V Send data to Excel Based on the…
Which of the following is not a sample property of OLS? a. Sample covariance of each included variable and the residuals is zero b. the sum of all residuals is zero c. the average of all residuals is zero d. the covariance of x and y is on the regression line.

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