Loose Leaf for Statistical Techniques in Business and Economics
17th Edition
ISBN: 9781260152647
Author: Douglas A. Lind
Publisher: McGraw-Hill Education
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Chapter 10, Problem 33CE
To determine
Check whether there is evidence to conclude that the households paid more interest or not.
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Chapter 10 Solutions
Loose Leaf for Statistical Techniques in Business and Economics
Ch. 10 - Heinz, a manufacturer of ketchup, uses a...Ch. 10 - Prob. 2SRCh. 10 - For Exercises 14, answer the questions: (a) Is...Ch. 10 - Prob. 2ECh. 10 - Prob. 3ECh. 10 - For Exercises 14, answer the questions: (a) Is...Ch. 10 - For Exercises 58: (a) State the null hypothesis...Ch. 10 - For Exercises 58: (a) State the null hypothesis...Ch. 10 - For Exercises 58: (a) State the null hypothesis...Ch. 10 - For Exercises 58: (a) State the null hypothesis...
Ch. 10 - The mean life of a battery used in a digital clock...Ch. 10 - Given the following hypotheses: H0:10H1:10 A...Ch. 10 - Given the following hypotheses: H0:=400H1:400 A...Ch. 10 - The Rocky Mountain district sales manager of Rath...Ch. 10 - The management of White Industries is considering...Ch. 10 - Prob. 13ECh. 10 - Most air travelers now use e-tickets. Electronic...Ch. 10 - A machine is set to fill a small bottle with 9.0...Ch. 10 - Given the following hypotheses: H0:20H1:20 A...Ch. 10 - Given the following hypotheses: H0:=100H1:100 A...Ch. 10 - The amount of water consumed each day by a healthy...Ch. 10 - The liquid chlorine added to swimming pools to...Ch. 10 - A Washington, D.C., think tank announces the...Ch. 10 - Hugger Polls contends that an agent conducts a...Ch. 10 - Prob. 5SRCh. 10 - Refer to Table 104 and the example just completed....Ch. 10 - Prob. 22ECh. 10 - Prob. 23ECh. 10 - Prob. 24ECh. 10 - According to the local union president, the mean...Ch. 10 - Rutter Nursery Company packages its pine bark...Ch. 10 - A new weight-watching company, Weight Reducers...Ch. 10 - Dole Pineapple Inc. is concerned that the 16-ounce...Ch. 10 - According to a recent survey, Americans get a mean...Ch. 10 - A statewide real estate sales agency, Farm...Ch. 10 - According to the Census Bureau, 3.13 people reside...Ch. 10 - A recent article in Vitality magazine reported...Ch. 10 - Prob. 33CECh. 10 - Prob. 34CECh. 10 - A recent study revealed the typical American...Ch. 10 - The postanesthesia care area (recovery room) at...Ch. 10 - www.golfsmith.com receives an average of 6.5...Ch. 10 - During recent seasons, Major League Baseball has...Ch. 10 - Watch Corporation of Switzerland claims that its...Ch. 10 - Listed below is the annual rate of return...Ch. 10 - Many grocery stores and large retailers such as...Ch. 10 - For a recent year, the mean fare to fly from...Ch. 10 - The publisher of Celebrity Living claims that the...Ch. 10 - A United Nations report shows the mean family...Ch. 10 - Prob. 45CECh. 10 - The American Water Works Association reports that...Ch. 10 - A cola-dispensing machine is set to dispense 9.00...Ch. 10 - The owners of the Westfield Mall wished to study...Ch. 10 - The following null and alternate hypotheses are...Ch. 10 - An insurance company, based on past experience,...Ch. 10 - A national grocers magazine reports the typical...Ch. 10 - Prob. 52DACh. 10 - Refer to the Lincolnville School District bus...
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- The specification calls for the dimension of a certain mechanical part to be 0.55 inches. A random sample of 35 parts taken from a large batch showed a mean 0.54 in. with a deviation of 0.05 in. Can it be concluded, at 1% significance, that the batch of parts meets the required specification?arrow_forwardA manufacturer produces a wire rope of a certain type, which has a breaking strength of not more than 300 kg. A new and cheaper process is discovered which is desired to be employed, provided that the wire rope thus produced has an average breaking strength greater than 300 kg. If a random sample of 26 wires produced with the new process has given a mean of 304.5 kg and a standard deviation of 15 kg, should the manufacturer adopt the new process?arrow_forwardWe are interested in whether the proportions of female suicide victims for ages 15 to 24 are the same between the white and the black races in the United States. We randomly pick one year to compare the races. The number of suicides estimated in the United States in that year for white females is 4,930. Five hundred eighty-three were aged 15 to 24. The estimate for black females is 330. Forty-one were aged 15 to 24. We will let female suicide victims be our population. (Use α = 0.05.) NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) Part (a) State the null hypothesis. ○ Ho: PW> PB O Ho: PW + PB Ho: Pw≤ PB Ho: PW-PB ○ Ho: Pw PB Part (c) In words, state what your random variable P'w-P'B represents. P'w-P'B represents the average difference of white and black female suicide victims, aged 15 to 24. ○ P'w-P'B…arrow_forward
- please solve this problem step by step and make it quick pleasearrow_forwardplease solve this problem step by step and make it quick pleasearrow_forward8.67 Free recall memory strategy. Psychologists who study ①memory often use a measure of "free recall" (e.g., the RECALL number of correctly recalled items in a list of to-be- remembered items). The strategy used to memorize the list-for example, category clustering-is often just as important. Researchers at Central Michigan University developed an algorithm for computing measures of cat- egory clustering in Advances in Cognitive Psychology (Oct. 2012). One measure, called ratio of repetition, was recorded for a sample of 8 participants in a memory study. These ratios are listed in the table. Test the theory that the average ratio of repetition for all participants in a similar memory study differs from .5. Select an appropriate Type I error rate for your test. .25 .43 .57 .38 .38 .60 .47 .30 Source: Senkova, O., & Otani, H. "Category clustering calculator for free recall." Advances in Cognitive Psychology, Vol. 8, No. 4, Oct. 2012 (Table 3).arrow_forward
- 8.64 Radon exposure in Egyptian tombs. Refer to the D Radiation Protection Dosimetry (Dec. 2010) study TOMBS of radon exposure in Egyptian tombs, Exercise 7.39 (p. 334). The radon levels-measured in becquerels per cubic meter (Bq/m³)-in the inner chambers of a sam- ple of 12 tombs are listed in the table. For the safety of the guards and visitors, the Egypt Tourism Authority (ETA) will temporarily close the tombs if the true mean level of radon exposure in the tombs rises to 6,000 Bq/m³. Consequently, the ETA wants to conduct a test to deter- mine if the true mean level of radon exposure in the tombs is less than 6,000 Bq/m³, using a Type I error probabil- ity of .10. A SAS analysis of the data is shown on p. 399. Specify all the elements of the test: Ho, Ha, test statistic, p-value, a, and your conclusion. 50 390 910 12100 180 580 7800 4000 3400 1300 11900 1100 N Mean Std Dev Std Err Minimum Maximum 12 3642.5 4486.9 1295.3 50.0000 12100.0arrow_forwardHow does probability help businesses make informed decisions under uncertainty? Provide an example of how businesses use probability in marketing to predict customer behavior. Why is probability considered essential in financial decision-making, particularly in portfolio management? Discuss how the use of probability in inventory management can improve customer satisfaction. Compare the role of probability in marketing and financial decision-making. How do the applications differ in their objectives?arrow_forward55 5.5 A glass bottle manufacturing company has recorded data on the average number of defects per 10,000 bottles due to stones (small pieces of rock embedded in the bottle wall) and the number of weeks since the last furnace overhaul. The data are shown below. Defects per 10,000 Weeks 13.0 4 16.1 5 14.5 6 17.8 7 22.0 8 27.4 9 16.8 10 65.6 ☐☐ Defects per 10,000 Weeks 34.2 11 12 49.2 13 66.2 81.2 87.4 14 15 16 114.5 17 a. Fit a straight-line regression model to the data and perform the standard tests for model adequacy. b. Suggest an appropriate transformation to eliminate the problems encoun- tered in part a. Fit the transformed model and check for adequacy.arrow_forward
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