EBK STATISTICS FOR BUSINESS & ECONOMICS
12th Edition
ISBN: 9780100460461
Author: Anderson
Publisher: YUZU
expand_more
expand_more
format_list_bulleted
Videos
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
III. The Department of Agriculture obtained the following data representing the one
week growth in centimeters of 24 newly planted corn plants.
0.8
1.1
1.3
1.6
1.8
1.8
1.8
2.2
2.4
2.4
2.4
2.4
3.1
3.7
3.9
3.9
3.9
3.9
3.9
4.0
4.1
4.1
4.2
4.9
1. Construct a frequency distribution table representing the data using the
following conditions.
a. Start the lowest class interval with the lowest value in the raw data
b. Let the class width be
ual to 0.6
c. Include the following in your frequency table: Class Intervals, Tally,
Frequency, Class Boundaries, Cumulative Frequency Less Than and
Cumulative Frequency Greater Than.
2. Determine the mean, median, mode and standard deviation of this raw
(ungrouped) data set.
III. The Department of Agriculture obtained the following data representing the one
week growth in centimeters of 24 newly planted corn plants.
0.8 1.1
1.3
1.6
1.8 1.8
1.8 2.2
2.4
2.4
2.4
2.4
3.1
3.7 3.9
3.9 3.9
3.9
3.9
4.0 4.1
4.1
4.2
4.9
1. Construct a frequency distribution table representing the data using the
following conditions.
a. Start the lowest class interval with the lowest value in the raw data
b. Let the class width be equal to 0.6
c. Include the following in your frequency table: Class Intervals, Tally,
Frequency, Class Boundaries, Cumulative Frequency Less Than and
Cumulative Frequency Greater Than.
2. Determine the mean, median, mode and standard deviation of this raw
(ungrouped) data set.
Joan'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?
Chapter 18 Solutions
EBK 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
- The prices of agricultural commodities for 1946-47 and for the inonth of Dece:mber 1950 are given below along with the value of the output of hese commodities in 1946-47: Value of outptl in million (Rs.) Prices ELIII Commodities Unit 1946-47 (Rs.) Dec. 1950 (Rs.) (1946-47) 13.75 9-70 8364 Rice Wheat Jowar maund таund 13-75 9.70 2207 6:03 8.00 876 maund 466 00 433.00 701 Cotton (raw) Tea Ibs. 1:25 1:75 534 Ibs. Calculate the weighted index mumber of prices of these commodities for December 1950 taking 1946-47 as base.arrow_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_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_forward
- 7 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_forwardThe 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_forward. Two soft drink dispensing machines should dispense 8 oz of your selection into a cup. The table below shows the data Machine 1 9.52 6.41 10.07 5.85 8.15 Machine 2 8.01 7.99 7.95 8.03 8.02 Which is more consistent in dispensing soda base on the measures of dispersion? Show all solutions.arrow_forward
- Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…arrow_forwardFrom the data given below, using the simple average of price relative comput: (i) Index number for 1998 with 1995 as the base and (ii) Index number for 1995 with 1998 as the base. Comment upon the result, if any. Price Items Unit 1995 1998 6. Rice Dal Ghee kg kg kg 15 20 40 50arrow_forwardWhich EWMA chart below will yield ARL performance most close to that of cusum chart with k=1/2 and h=5? a. L=2.814, lamda=0.10 b. L=2.615, lamda=0.05 c. L=2.998, lamda=0.25 d. L=3.054, lamda=0.40 e. L=2.962, lamda=0.20arrow_forward
- 6. 300- Real estate is typically reassessed annually for property tax purposes. This assessed value, however, is not necessarily the same as the fair market value of the property. An SRS of 30 properties recently sold in a midwestern city was taken. The scatter plot below show the actual sales prices and the assessed values of the 30 properties. Both variables are measured in 8 250- 200- thousands of dollars. 150- Let y; and x; be respectively the sales price and the assessed value of the ith property. We use R to fit the regression model 100- Yi = Bo + B1xi + Ei, Ei ~ i.i.d. N(0, o). 100 150 200 250 300 and yield the output below. Assessed Value ($1000) Call: Mean SD 1m (formula = Sales.Price * Assessed. Value) Assessed Value 184.13 45.43 Sales Price 195.84 47.18 Coefficients: Estimate Std. Error t value Pr(>It|) (Intercept) Assessed. Value 21.49923 15.27936 1.407 0.17 0.94682 0.08064 11.741 2.49e-12 *** Residual standard error: 19.73 on 28 degrees of freedom Multiple R-squared:…arrow_forwardThe owner of Darkest Tans Unlimited in a local mall is forecasting the demand for November the one new tanning booth based on the following historical data: Month Number of Tanners 290 O 209 May: June: What is November forecast using a four-month weighted moving average weights of 0.4, 0.3, 0.2, and 0.1? 201 July: Aug: Sep: Oct: 250 270 190 200 220 210arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Holt 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