Keep cool: Following are prices, in dollars, of a random sample of ten 7.5-cubic-foot refrigerators. A consumer organizationreports that the mean price of 7.5-cubic-foot refrigerators is less than $370. Do the data provide convincing evidence of thisclaim? Use the a=0.01 level of significance and the P-value method with the TI-84 Plus calculator.350414360313353318369383329339Send data to ExcelPart: 0 / 5Part 1 of 5Following is a dotplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test aresatisfied? Explain.300350400450The dotplot shows that there (Choose one) Voutliers.The dotplot shows that there(Choose one)evidence of strong skewness.We (Choose one) ▼assume that the population is approximately normal.It (Choose one)reasonable to assume that the conditions are satisfied.

Given data: 350 414 360 313 353 318 369 383 329 339 A dot plot is given for the above data.…

Answered: Keep cool: Following are prices, in…

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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A doctor wants to know if a blood pressure medication is effective. Six subjects have their blood pressures recorded. After twelve weeks on the medication, the same six subjects have their blood pressure recorded again. For this test, only systolic pressure is of concern. Test at the 1% significance level. Patient A D E F Before After Table 10.23 161 162 165 162 166 171 158 159 166 160 167 169 What is the sample mean difference?
a. Population Mean: d. Population Standar- b. Sample Mean: e. Sample Variance: c. Population Variance: f. Sample Standard D 10. Is it possible for the standard deviation of a list of numbers to equal zero? If so, give an example data set with at least 4 values. If not, explain why not. 1. Suppose that the median house price in a community is $405,000. Does that n cost more than $405,000? Explain why or why not.
An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the g the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown. Comple parts (a) through (f). a. Construct a scatter plot. Choose the correct graph below. O A. 2,000 ★Rent ($) → 2,000 Size (sq ft) Q O B. ★Rent ($) 2,000+ to Monthly Rent ($) Size (Square Feet) 0 S 1.₂ 2,000 Size (Sq ft) Q Q □ b. Use the least-squares method to determine the regression coefficients bo and b₁. 900 1,600 825 1,450 1,900 975 1,825 1,300 900 1,200 1,050 1,200 1,900 700 1,350 1,100 bo = (Round to one decimal place as needed.) b₁ = (Round to one decimal place as needed.) c. Interpret the meaning of bo and b₁ in this problem. Choose the correct answer below. (---) O C. 2,000…
The following relative frequency histogram presents the weights (in lb) of a sample of visitors to a health clinic. What percent of visitors to the health clinic weighed less than 150 lb?
In a typical set of numerical data, what fraction of the data values lie above Q3?
The data below gives the mean price (in cents) of a litre of regular gasoline at self-service filling stations at a sample of six urban centres in Canada in May 2010. Urban area Price/litre Halifax 105.4 Thunder Bay 109.2 Winnipeg 98,8 Calgary 94.9 Victoria 109.7 Whitehorse 112.5 Provide answers to the following to two decimal places. Part (a) Find the sample mean (in cents). Part (b) Find the sample standard deviation (in cents). Part (c) Using the appropriate t distribution, find a 90% confidence interval for the mean gasoline price per litre across urban Canada in May 2010. Provide the upper and lower bounds for your confidence interval. ( Part (d) Would a 95% confidence interval be wider or narrower than the interval you found in Part (c)? Using the appropriate t distribution, find a 95% confidence interval for the mean gasoline price per litre across urban Canada in May 2010. Provide the upper and lower bounds for your confidence interval. (
a. Develop a hypothesis test that can be used to determine whether the mean annual consumption in Webster City is higher than the national mean. Ho: $21.5 Ha: >21.5 b. What is a point estimate of the difference between mean annual consumption in Webster City and the national mean? (2 decimals) c. At a = 0.01, test for a significant difference by completing the following. Calculate the value of the test statistic (2 decimals). The p-value is Reject the null hypothesis? (4 decimals) Yes v What is your conclusion? Conclude the population mean consumption of milk in Webster City is greater tha
Consider the data from the Anthropology 105 class. The mean for women is 64.33 in and the standard deviation is 2.64 in. The average height of men in the US is approximately 5ft 10in. What proportion of women represented here are shorter than the average man?
Total plasma volume is important in determining the required plasma component in blood replacement therapy for a person undergoing surgery. Plasma volume is influenced by the overall health and physical activity of an individual. Suppose that a random sample of 50 male firefighters are tested and that they have a plasma volume sample mean of x = 37.5 ml/kg (milliliters plasma per kilogram body weight). Assume that ? = 7.20 ml/kg for the distribution of blood plasma.
In a city with three high schools, all the ninth graders took a Standardized Test, with these results: High School Mean score on test Number of ninth graders Glenwood 76 272 Central City 93 325 Lincoln High 73 180 The city's PR manager, who never took statistics, claimed the mean score of all ninth graders in the city was 80.7 . Of course, that is incorrect. What is the mean score for all ninth graders in the city? Round to one decimal place.mean of all ninth grader's scores =
The distribution of male height (X) in the US is known to be normally distributed with mean of about 70 inches and variance of 25 inches. What is the IQR? (hint: think about what the IQR represents in a boxplot with regard to percentiles). The z tables can be found at the bottom of the written portion of the exam or at the end of Lecture Note 10. a.) 5.0 b.) 9.0 c.) 7.3 d.) 10.0 e.) 6.7
The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results: Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?

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