Statistics for Business & Economics
12th Edition
ISBN: 9781285528830
Author: David R. Anderson
Publisher: Cengage Learning US
expand_more
expand_more
format_list_bulleted
Textbook Question
Chapter 18, Problem 42SE
The following data are product weights for the same items produced on two different production lines. Test for a difference between the product weights for the two lines. Use α = .05.
Line 1 | Line 2 |
13.6 | 13.7 |
13.8 | 14.1 |
14.0 | 14.2 |
13.9 | 14.0 |
13.4 | 14.6 |
13.2 | 13.5 |
13.3 | 14.4 |
13.6 | 14.8 |
12.9 | 14.5 |
14.4 | 14.3 |
15.0 | |
14.9 |
Expert Solution & Answer
Trending nowThis is a popular solution!
Students have asked these similar questions
The following data are product weights for the same items produced on two different production lines. Test for a difference between the product weights for the two lines. Use a = .05.
Line 1
Line 2
13.6
13.3
14.9
14.7
14.1
15.2
13.5
14.6
14.0
15.2
13.4
13.3
14.6
14.6
14.1
14.7
13.5
13.6
13.8
13.7
14.8
13.8
What is the value of the test statistic? Enter negative value as negative number.
(to 2 decimals)
What is the p-value for the hypothesis test?
(to 4 decimals)
What is your conclusion?
The two populations of product weights - Select your answer - v identical.
The population of product weights from production line 1 tends to be - Select your answer
v the population of product weights from production line 2.
Answer only no. 2.
The data below are for two different types of straw seed that were used on adjacent plots of land. The listed values are the yields of straw in cwt (100 lb, or hundredweight) per acre, and the yields are paired by the plot of land that they share. Complete parts (a) through (c).
Type 1 Type 219.25 2523 23.7522.75 24.2522.75 28.2522.25 22.7519.5 19.7524.5 22.2515.5 1618 17.2514 1617 17.25
Using a 0.05 significance level, test the claim that there is no difference between the yields from the two types of seed. Let mu Subscript dμdbe the mean of the population of differences of type 1 minus type 2 and write the hypotheses.
The null hypothesis is
Upper H 0H0:
Upper H 1H1:
The test statistic is
State the conclusion that addresses the original claim.
Chapter 18 Solutions
Statistics for Business & Economics
Ch. 18.1 - The following hypothesis test is to be conducted....Ch. 18.1 - Ten individuals participated in a taste test...Ch. 18.1 - The median number of part-time employees at...Ch. 18.1 - Net assets for the 50 largest stock mutual funds...Ch. 18.1 - The median annual income of subscribers to...Ch. 18.1 - The median annual income for families living in...Ch. 18.1 - Prob. 7ECh. 18.1 - A Pew Research Center survey asked adults if their...Ch. 18.1 - A poll taken during the recession in 2008 asked...Ch. 18.1 - Prob. 10E
Ch. 18.1 - Competition in the personal computer market is...Ch. 18.2 - Two fuel additives are tested to determine their...Ch. 18.2 - A sample of 10 men was used in a study to test the...Ch. 18.2 - Percents of on-time arrivals for flights in the...Ch. 18.2 - A test was conducted for two overnight mail...Ch. 18.2 - The PGA Players Championship was held at the...Ch. 18.2 - The Scholastic Aptitude Test (SAT) consists of...Ch. 18.3 - Two fuel additives are being tested to determine...Ch. 18.3 - Samples of starting annual salaries for...Ch. 18.3 - The gap between the earnings of men and women with...Ch. 18.3 - Prob. 21ECh. 18.3 - Each year Bloomberg Businessweek publishes...Ch. 18.3 - Police records show the following numbers of daily...Ch. 18.3 - A certain brand of microwave oven was priced at 10...Ch. 18.3 - Prob. 25ECh. 18.4 - A sample of 15 consumers provided the following...Ch. 18.4 - Three admission test preparation programs are...Ch. 18.4 - Forty-minute workouts of one of the following...Ch. 18.4 - Cond Nast Traveler magazine conducts an annual...Ch. 18.4 - A large corporation sends many of its first-level...Ch. 18.4 - The better-selling candies are often high in...Ch. 18.5 - Consider the following set of rankings for a...Ch. 18.5 - Prob. 33ECh. 18.5 - Prob. 34ECh. 18.5 - A national study by Harris Interactive, Inc.,...Ch. 18.5 - Prob. 36ECh. 18.5 - A student organization surveyed both current...Ch. 18 - A survey asked the following question: Do you...Ch. 18 - Due to a recent decline in the housing market, the...Ch. 18 - Twelve homemakers were asked to estimate the...Ch. 18 - Prob. 41SECh. 18 - The following data are product weights for the...Ch. 18 - A client wants to determine whether there is a...Ch. 18 - Prob. 44SECh. 18 - Prob. 45SECh. 18 - Prob. 46SECh. 18 - Prob. 47SE
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Refer to Table 1.6. a. What is the average cost for the tablets? b. Compare the average cost of tablets with a Windows operating system to the average cost of tablets with an Android operating system. c.What percentage of tablets use a CPU manufactured by Tl OMAP? d. What percentage of tablets use an Android operating system?arrow_forwardPlease give the correct answerarrow_forwardJoan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost-estimating purposes, managers use two hours of labor time for the plant- ing of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours).2.1 2.2 1.7 1.6 2.3 3.1 1.5 2.6 2.4 2.2 With a .05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. b. Compute the sample mean. c. Compute the sample standard deviation. d. What is the p-value? e. What is your conclusion?arrow_forward
- The following data represents the weight in kg of :a product 1 6 2 7 2 1 4 5 1 3 :Find :Mean 3.9 4.1 3.2 3.8 :Median 3.5 4.5 4.0 2.5 :Modearrow_forward5 and 6. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Based on Hershey's® claim for 368 total net grams of chocolate in the bag, approximately how many Kisses® too many or too few are there? Assume that the Kisses® were weighed with the wrapper, each wrapper weighs 0.12 grams, and the net grams listed on the bag are for the chocolate only. Give some possible…arrow_forwardPlease answer the federal problem ty!arrow_forward
- your car is more crowded than you think. table 5.8 reports results from a 1969 personal transportation survey on "home-to-work" trips in metropolitan areas. show that the average number of riders in the car of a typical commuter is 1.9.arrow_forwardYou want to conduct a study on the proportion of Penn State students who miss class when it is raining. Suppose here is the data you collect for students who live on-campus versus students who live off-campus: Never Miss Sometimes Miss Always Miss On-Campus 20 12 13 Off-Campus 45 14 22 a. For on-campus students (only), estimate the true difference in proportions for those who never miss class versus those who always miss class, when it is raining. Place a bound on the error of estimation. b. Estimate the true difference between the proportions of on-campus students who always miss class versus the proportion of off-campus students who always miss class, when it is raining. Place a bound on the error of estimation.arrow_forwardThe following ACF plots were produced for raw data of monthly sales of two different variables, A and B. Explain in detail which variable (A or B) is likely to be easier to forecast.arrow_forward
- 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?arrow_forward7 and 8. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Describe the distribution of Kisses®. Make sure to include descriptions of the shape, center, spread, and outliers, if there are any. In general, each Kiss® is approximately how many grams? Explain what measure you used and why.arrow_forwardPlease answer all sub-parts A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: Age (Yrs) HDL (?μmol/L) 38 57 42 54 46 34 32 56 55 35 52 40 61 42 61 38 26 47 a) Compute the regression equation for HDL as a function of age. b)Interpret the meaning of the regression parameters. c) Compute r and r2. Interpret these statistics. d) What is your opinion of the usefulness of using age as a predictor of HDL?arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage LearningGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillHolt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
- Functions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage Learning
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Functions and Change: A Modeling Approach to Coll...
Algebra
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Cengage Learning
Hypothesis Testing using Confidence Interval Approach; Author: BUM2413 Applied Statistics UMP;https://www.youtube.com/watch?v=Hq1l3e9pLyY;License: Standard YouTube License, CC-BY
Hypothesis Testing - Difference of Two Means - Student's -Distribution & Normal Distribution; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=UcZwyzwWU7o;License: Standard Youtube License