Intro Stats, Books a la carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (5th Edition)
5th Edition
ISBN: 9780134210247
Author: Richard D. De Veaux, Paul Velleman, David E. Bock
Publisher: PEARSON
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Chapter 7.4, Problem 6JC
To determine
Predict the price of a 2,460 sq ft. house using the least squares equation in the original units to verify the same predictions in part 5.
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Researcher wanted to determine if carpeted rooms containe more bacteria than uncarpted rooms. Colonies of bacteria were allowed to form in the 16 Petri dishes. A normal probality plot and boxplot indicate that the data are aproximately normally distributed with no outliers. Do carpted rooms have more bacteria than uncarpted roomz at the a= 0.05 level of signicance?
carpeted rooms (bacteria/cubic foot)
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uncarpted room( bacteria/cubic foot)
12.1, 8.3, 3.8, 7.2, 12, 11.1 10.1 13.7
a) Is this independent or dependent sampling?
b) State the null and alternative hypotheses
c) P-value:
d) state your conclusion in the langauage of the problem.
How are the moving averages calculated?
After the analyses, Rosalind found a significant difference in test scores between taking the test somewhere on campus and taking it in the classroom, t(41)=2.02, p=.049. However, Rebecca found no significant difference between those who took the test somewhere on campus and those who took it in the classroom, t(41)=1.68, p=.099. Considering that Rebecca had a larger mean difference between the two conditions than Rosalind, why are their results so different?
I think this deals with type I and type II error giving false positive and false negative respectively, but I wanted to know if there could possibly be anything additional.
Chapter 7 Solutions
Intro Stats, Books a la carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (5th Edition)
Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - A scatterplot of house Price (in dollars) vs....Ch. 7.4 - Prob. 6JCCh. 7.6 - Back to our regression of house Price () on house...Ch. 7.6 - Back to our regression of house Price () on house...Ch. 7.6 - Back to our regression of house Price () on house...Ch. 7 - True or false If false, explain briefly. a) We...
Ch. 7 - True or false II If false, explain briefly. a)...Ch. 7 - Prob. 3ECh. 7 - Prob. 4ECh. 7 - Bookstore sales revisited Recall the data we saw...Ch. 7 - Prob. 6ECh. 7 - Prob. 7ECh. 7 - Prob. 8ECh. 7 - Bookstore sales once more Here are the residuals...Ch. 7 - Prob. 10ECh. 7 - Prob. 11ECh. 7 - Prob. 12ECh. 7 - Prob. 13ECh. 7 - Prob. 14ECh. 7 - Prob. 15ECh. 7 - Prob. 16ECh. 7 - More cereal Exercise 15 describes a regression...Ch. 7 - Prob. 18ECh. 7 - Another bowl In Exercise 15, the regression model...Ch. 7 - More engine size In Exercise 16, the regression...Ch. 7 - Cereal again The correlation between a cereals...Ch. 7 - Prob. 22ECh. 7 - Prob. 23ECh. 7 - Prob. 24ECh. 7 - Prob. 25ECh. 7 - Prob. 26ECh. 7 - Prob. 27ECh. 7 - Residuals Tell what each of the residual plots...Ch. 7 - Real estate A random sample of records of home...Ch. 7 - Prob. 30ECh. 7 - Prob. 31ECh. 7 - Prob. 32ECh. 7 - Real estate again The regression of Price on Size...Ch. 7 - Prob. 34ECh. 7 - Prob. 35ECh. 7 - More misinterpretations A Sociology student...Ch. 7 - Real estate redux The regression of Price on Size...Ch. 7 - Prob. 38ECh. 7 - Prob. 39ECh. 7 - Prob. 40ECh. 7 - Prob. 41ECh. 7 - Last ride Consider the roller coasters (with the...Ch. 7 - Prob. 43ECh. 7 - Prob. 44ECh. 7 - Prob. 45ECh. 7 - Prob. 46ECh. 7 - Prob. 47ECh. 7 - Prob. 48ECh. 7 - Prob. 49ECh. 7 - Interest rates and mortgages 2015 again In Chapter...Ch. 7 - Online clothes An online clothing retailer keeps...Ch. 7 - Online clothes II For the online clothing retailer...Ch. 7 - Prob. 53ECh. 7 - Success in college Colleges use SAT scores in the...Ch. 7 - SAT, take 2 Suppose we wanted to use SAT math...Ch. 7 - Prob. 56ECh. 7 - Prob. 57ECh. 7 - Wildfires 2015sizes We saw in Exercise 57 that the...Ch. 7 - Used cars 2014 Carmax.com lists numerous Toyota...Ch. 7 - Drug abuse revisited Chapter 6, Exercise 42...Ch. 7 - Prob. 61ECh. 7 - Prob. 62ECh. 7 - Prob. 63ECh. 7 - Chicken Chicken sandwiches are often advertised as...Ch. 7 - Prob. 65ECh. 7 - Cost of living 2016 Numbeo.com lists the cost of...Ch. 7 - Prob. 67ECh. 7 - Prob. 68ECh. 7 - Prob. 69ECh. 7 - Climate change 2016, revisited In Exercise 69, we...Ch. 7 - Prob. 71ECh. 7 - Prob. 72ECh. 7 - Prob. 73ECh. 7 - Heptathlon revisited again We saw the data for the...Ch. 7 - Hard water In an investigation of environmental...Ch. 7 - Gators Wildlife researchers monitor many wildlife...Ch. 7 - Prob. 77ECh. 7 - Least squares Consider the four points (200,1950),...
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- Find the mean hourly cost when the cell phone described above is used for 240 minutes.arrow_forwardA researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOS) of major corporations. He has good reason to believe that the mean systolic blood pressure, u, of CEOS of major corporations is less than 130 mm Hg, which is the value reported in a possibly outdated journal article. He plans to perform a statistical test. He measures the systolic blood pressures of a random sample of CEOS of major corporations and finds the mean of the sample to be 120 mm Hg and the standard deviation of the sample to be 15 mm Hg. Based on this information, complete the parts below. (a) What are the null hypothesis H, and the alternative hypothesis H, that should be used for the test? H :0 Oarrow_forwardA researcher studying stress is interested in the blood pressure measurements of chief executive officers (CEOS) of major corporations. He has good reason to believe that the mean systolic blood pressure, u, of CEOS of major corporations is more than 136 mm Hg, which is the value reported in a possibly outdated journal article. He plans to perform a statistical test. He measures the systolic blood pressures of a random sample of CEOS of major corporations and finds the mean of the sample to be 148 mm Hg and the standard deviation of the sample to be 15 mm Hg. Based on this information, complete the parts below. (a) What are the null hypothesis H, and the alternative hypothesis H, that should be used for the test? H, : 0 OO H, :0 D=0 O#0 (b) Suppose that the researcher decides not to reject the null hypothesis. What sort of error might he be making? |(Choose one) (c) Fill in the blanks to describe the Type II error that could occur if the true mean systolic blood pressure of CEOS of…arrow_forwardSuppose a car's city miles per gallon rating can be determined by the car's weight. The means and standard deviations of these variables and the correlation coefficient between them are reported in the following table. Determine the coefficients of the least squares line for predicting a car's miles per gallon rating from its weight. Report the equation of this line. 2 decimals for "a" and 5 decimals for "b"arrow_forwardIn general, how is the magnitude of the standard error of estimate related to the value of the correlation?arrow_forwardThe correlation coefficient between the number of TV sets per person (X) and average life expectancy (Y) for 22 counties around the world, is -.804. Interpret the correlation coefficient and identify a confounding variable that might explain this relationship.arrow_forwardEach year, marketing and information firm J.D. Power and Associates surveys new car owners 90 days after they have purchased their cars. The data collected are used to rate auto brands (Toyota, Ford, and others) on initial quality and initial customer satisfaction. USA Today reported both the number of manufacturing defects per 100 vehicles and a satisfaction score for all 33 brands sold in the United States.+ A research group decides to compare the mean number of defects for 2 specific models of cars, A and B, made this year by taking random samples of 100 cars of each model. USE SALT (a) After collecting the data, the research group calculates a 95% confidence interval to estimate the difference in population means. In this case, what is the population? O the defects O all cars made this year all cars for models A and B that were produced this year O the 100 cars from each model (b) Suppose the calculated confidence interval is (100, 104) number of defects. What is the value of the…arrow_forwardAvalanches can be a real problem for travelers in the western United States and Canada. Slab avalanches studied in Canada had an average thickness of u = 67 cm. A sample of 31 avalanches in the U.S. gave a sample mean of = 63.0 cm. It is known that o = 10.3 cm for this type of data. Use a 0.03 level of significance to test the claim that the mean slab thickness of avalanches in the United States is different from that in Canada. Use the P-Value Approach. What are the hypotheses for this problem? А: Но и 3D 63.0 ст us На и + 63.0 ст B: Но и 63.0 ст С: Но и %3D 67 ст us HA и < 67 ст D: Ho u = 67 cm vs HA H# 67 cm B O Aarrow_forwardarrow_back_iosarrow_forward_ios
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