A consumer buying cooperative tested the effective heating area of 20 different electric space heaters with different wattages. Hereare the results.Heaterwattage1,7501,000Area12252341,25028147502081,7501, 2501.258902137.1,2501.7581581,7501.5092166.1,5001,2501.25025510220111,2501750108121,750208132,0001,5002,0001,0001,50089142661526216611716618750284191, 25019920600502plctureClick here for the Excel Data Filea. Compute the correlation between the wattage and heating area. Is there a direct or an Indırect relationship? (Round your answer to4 decimal places.)The correlation of Wattage and Area isThe relationship isb. Conduct a test of hypothesis to determine If It is reasonable that the coefficlent Is greater than zero. Use the 0.100 significance level.(Round Intermedlate calculations and final answer to 3 decimal places.)t =< Prev11 of 20Next > c. Develop the regresslon equation for effective heating based on wattage. (Negatlve value should be Indicated by a minus sign.Round your answers to 4 decimal places.)The regression equation is:d. What heating area corresponds with a 1,500-watt heater? (Round your answers to 4 decimal places.)Heating areae. What Is the 95% confidence Interval of heating the area if the wattage Is 1,500? (Round your answers to 4 decimal places.)

The independent variable is Wattage. The dependent variable is Area. We have to do correlation and…

Answered: 2.890 A consumer buying cooperative…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A consumer group is investigating a producer of diet meals to examine if its prepackaged meals actually contain the advertised 6 ounces of protein in each package. Based on the following data, is there any evidence that the meals do not contain the advertised amount of protein? Run the appropriate test at a 5% level of
A recent poll found that 664 out of 1026 randomly selected people in a particular country felt that colleges and universities with big sports programs placed too much emphasis on athletics over academics. Assuming the conditions for the CLT are met, use the accompanying Minitab output to complete parts a and b below. N Event Sample p 95% CI for p 1026 664 0.647173 (0.617934, 0.676413) Question content area bottom b. Suppose a sports blogger wrote an article claiming that a majority of adults from this country believe that colleges and universities with big sports programs place too much emphasis on athletics over academics. Does this confidence interval support the blogger's claim? Explain your reasoning. A. No, it is not a plausible claim because the confidence interval contains 50%. B. No, it is not a plausible claim because the confidence interval does not contain only values above 50%. C. Yes, it is a…
Two rival manufacturers of penlight batteries claimed that their product lasts longer than the other. Thirty samples of Brand A and thirty-four of Brand B were tested. The following are the lengths of lives of such batteries recorded in hours. Use . Brand A384142363941433536384239404344 354039374042443837414038424541 Brand B3840414339414043393840434439404142 3940454038424140363741424036384140 A teacher wants to find out if there is a significant difference in the academic performance of two groups of students. One group meets thrice a week while the other meets twice a week. Below are the final exam scores of the two groups. Use . 3x/wk8085747565668077759566557985 2x/wk669887848556592553456652
Suppose a researcher is interested inthe effectiveness in a new childhood exercise program implemented in a SRS of schools across a particular county. In order to test the hypothesis that the new program decreases BMI (Kg/m2), the researcher takes a SRS of children from schools where the program is employed and a SRS from schools that do not employ the program and compares the results. Assume the following table represents the SRSs of students and their BMIs. Student intervention group BMI (kg/m2) Student control group BMI (kg/m2) A 18.6 A 21.6 B 18.2 B 18.9 C 19.5 C 19.4 D 18.9 D 22.6 E 24.1 F 23.6 A) Assuming that all the necessary conditions are met (normality, independence, etc.) carry out the appropriate statistical test to determine if the new exercise program is effective. Use an alpha level of 0.05. Do not assume equal variances.B) Construct a 95% confidence interval about your estimate for the average difference in BMI between the groups.
A manufacturer of flashlight batteries claims that the average life of her batteries is larger than 400 hours. Peter, as a quality assurance officer in the manufacturing company, took a random sample of 13 batteries from a day’s production and used them continuously until they failed to work. The lifetime (hours) until failure was:342 426 317 545 264 451 1049 631 512 266 492 562 298 (a) At the 0.05 level of significance, is there evidence that the manufacturer’s claim is correct? (b) What is the p-value?
In a study to estimate the proportion of smokers among the residents in a certain city and its suburbs, it is found that 24 of 104 urban residents aresmokers, while 34 of 108 suburban residents are smokers. Is there a significant difference between the proportions of smokers among urban and suburban residents? Make use of a P-value.
Consider number of male doctors in military and civilian hospitals. Test claim there is a smaller proportion of male doctors in military than in civilian life at alpa= 0.05 Military 1 Civilian 2 Male doctors 358 6786 Total doctors 407 7363 a. At the 0.05 level of significance, the data provides insufficient evidence to conclude that the population proportion of male military doctors is less than the population proportion of male civilian doctors. b. At the 0.05 level of significance, the data provides sufficient evidence to conclude that the population proportion of male military doctors is more than the population proportion of male civilian doctors. c. At the 0.05 level of significance, the data provides insufficient evidence to conclude that the population proportion of male military doctors is more than the population proportion of male civilian doctors. d. At the 0.05 level of significance, the data provides sufficient evidence to conclude…
The British Department of Transportation studied to see if people avoid driving on Friday the 13th. They did a traffic count on a Friday and then again on a Friday the 13th at the same two locations. The data for each location on the two different dates is in the table. Do the data show that on average fewer people drive on Friday the 13th? Test at the 5% level.Traffic Count Dates 6th 13th 1990, July 137669 135825 1990, July 129699 128891 1991, September 136898 138275 1991, September 138966 139940 1991, December 132021 129640 1991, December 119268 119214 1992, March 131938 131104 1992, March 123306 124760 1992, November 129499 129219 1992, November 138568 135934
31% of all pygmy softshell tortoises have stripes on their shells. A herpetologist in Cititon collects a sample of 28 pygmy softshell tortoises and finds that 8 of them have stripes on their shells. Is there enough evidence to conclude, at a significance of alpha = 0.05, that the proportion of pygmy softshell tortoises in Cititon with stripes on their shells is less than 31%? What is the claim? What is the null hypothesis? What is the alternative hypothesis? What is the test statistic? What is/are the critical value(s)? Do we reject the null hypothesis? What conclusion do we draw? What is the P-value for the problem above?
In a study examining overweight and obese college football players, Mathews and Wagner(2008) found that on average both offensive and defensive linemen exceeded the at-risk criterionfor body mass index (BMI). BMI is a ratio of body weight to height squared and is commonlyused to classify people as overweight or obese. Any value greater than 30 kg/m2 is considered tobe at risk. In the study, a sample of n = 17 offensive linemen averaged M = 34.4 with a standarddeviation of s = 4.0. A sample of n = 19 defensive linemen averaged M = 31.9 with s = 3.5a. Use a single-sample t test to determine whether the offensive linemen are significantly abovethe at-risk criterion for BMI. Use a one-tailed test with α = .01.b. Use a single-sample t test to determine whether the defensive linemen are significantly abovethe at-risk criterion for BMI. Use a one-tailed test with α = .01.c. Use an independent-measures t test to determine whether there is a significant differencebetween the offensive linemen…
A pharmaceutical company wants to know whether an experimental drug has an effect on systolic blood pressure. Fifteen randomly selected subjects were given the drug and, after sufficient time for the drug to have an impact, their systolic blood pressures were recorded. The data appear below: 172140123130115 148108129137161 123152133128142172140123130115 148108129137161 123152133128142 Calculate the values of y¯¯¯y¯ and s for the 15 blood pressure readings.
A researcher wanted to determine if carpeted rooms contain more bacteria than uncarpeted rooms. The table shows the results for the number of bacteria per cubic foot for both types of rooms. Full data set Carpeted Uncarpeted 7.5 14.9 9.4 5.1 10.6 4.2 9.2 12.7 9.9 13.3 9.3 4.2 6.9 11.1 7.5 12.5 Determine whether carpeted rooms have more bacteria than uncarpeted rooms at the α=0.05 level of significance. Normal probability plots indicate that the data are approximately normal and boxplots indicate that there are no outliers. State the null and alternative hypotheses. Let population 1 be carpeted rooms and population 2 be uncarpeted rooms. A. H0: μ1=μ2 H1: μ1>μ2 This is the correct answer. B. H0: μ1<μ2 H1: μ1>μ2 C. H0: μ1=μ2 H1: μ1≠μ2 D. H0: μ1=μ2 H1: μ1<μ2 Your answer is not correct. Determine the P-value for this hypothesis test. P-value=nothing…

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS