BASIC BUSINESS STATISTICS
14th Edition
ISBN: 9780135285923
Author: MARK BERENSON
Publisher: PEARSON
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Chapter 11, Problem 34PS
To determine
Explain the concept of interaction in a two-factor factorial design.
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Suppose an experiment was conducted to compare the mileage(km) per litre
obtained by competing brands of petrol I,II,III. Three new Mazda, three new
Toyota and three new Nissan cars were available for experimentation. During the
experiment the cars would operate under same conditions in order to eliminate
the effect of external variables on the distance travelled per litre on the assigned
brand of petrol. The data is given as below:
Brands of Petrol Mazda Toyota Nissan
I 10.6 12.0 11.0
II 9.0 15.0 12.0
III 12.0 17.4 13.0
(a) Test at the 5% level of significance whether there are signi
cant differences among the brands of fuels and also among the cars. [10]
(b) Compute the standard error for comparing any two fuel brands means. Hence
compare, at the 5% level of significance, each of fuel brands II, and III with
the standard fuel brand I. [10]
Business discuss
What would you say about a set of quantitative bivariate data whose linear correlation is -1? What would a scatter diagram of the data look like? (5 points)
Chapter 11 Solutions
BASIC BUSINESS STATISTICS
Ch. 11 - An experiment has a single factor with five groups...Ch. 11 - You are working with the same experiment as in...Ch. 11 - You are working with the same experiment as in...Ch. 11 - Consider an experiment with three groups, with...Ch. 11 - Prob. 5PSCh. 11 - You are working the same experiment as in Problem...Ch. 11 - One of the steps involved in the processing of...Ch. 11 - The more costly and time-consuming it is to export...Ch. 11 - A hospital conducted a study of the waiting time...Ch. 11 - A manufacturer of pens has hired an advertising...
Ch. 11 - Prob. 11PSCh. 11 - Brand valuations are critical to CEOs, financial...Ch. 11 - A pet food company has a business objective of...Ch. 11 - A transportation strategist wanted to compare the...Ch. 11 - Consider a two-factor factorial design with three...Ch. 11 - Prob. 16PSCh. 11 - Prob. 17PSCh. 11 - Prob. 18PSCh. 11 - Given a two-way ANOVA with two levels for factor A...Ch. 11 - Given a two-factor factorial experiment and the...Ch. 11 - Given the results from Problem 11.20, a. at the...Ch. 11 - An experiment was conducted to study the extrusion...Ch. 11 - Prob. 23PSCh. 11 - Prob. 24PSCh. 11 - A glass manufacturing company wanted to...Ch. 11 - Prob. 26PSCh. 11 - Prob. 27PSCh. 11 - Prob. 28PSCh. 11 - Prob. 29PSCh. 11 - Prob. 30PSCh. 11 - Prob. 31PSCh. 11 - Prob. 32PSCh. 11 - Prob. 33PSCh. 11 - Prob. 34PSCh. 11 - Prob. 35PSCh. 11 - Prob. 36PSCh. 11 - Prob. 37PSCh. 11 - Prob. 38PSCh. 11 - Suppose that, when setting up the experiment in...Ch. 11 - A hotel wanted to develop a new system for...Ch. 11 - Refer to the room service experiment in Problem...Ch. 11 - Prob. 42PS
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- Analyze the residuals of a linear regression model and select the best response.Criteria is simple evaluation of possible indications of an exponential model vs. linear model) no, the residual plot does not show a curve yes, the residual plot does not show a curve yes, the residual plot shows a curve no, the residual plot shows a curve I selected: yes, the residual plot shows a curve and it is INCORRECT. Can u help me understand why?arrow_forwardYou have been hired as an intern to run analyses on the data and report the results back to Sarah; the five questions that Sarah needs you to address are given below. please do it step by step on excel Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size). Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple…arrow_forwardHere is data with as the response variable. x y54.4 19.124.9 99.334.5 9.476.6 0.359.4 4.554.4 0.139.2 56.354 15.773.8 9-156.1 319.2Make a scatter plot of this data. Which point is an outlier? Enter as an ordered pair, e.g., (x,y). (x,y)= Find the regression equation for the data set without the outlier. Enter the equation of the form mx+b rounded to three decimal places. y_wo= Find the regression equation for the data set with the outlier. Enter the equation of the form mx+b rounded to three decimal places. y_w=arrow_forward
- You have been hired as an intern to run analyses on the data and report the results back to Sarah; the five questions that Sarah needs you to address are given below. please do it step by step Does there appear to be a positive or negative relationship between price and screen size? Use a scatter plot to examine the relationship. Determine and interpret the correlation coefficient between the two variables. In your interpretation, discuss the direction of the relationship (positive, negative, or zero relationship). Also discuss the strength of the relationship. Estimate the relationship between screen size and price using a simple linear regression model and interpret the estimated coefficients. (In your interpretation, tell the dollar amount by which price will change for each unit of increase in screen size). Include the manufacturer dummy variable (Samsung=1, 0 otherwise) and estimate the relationship between screen size, price and manufacturer dummy as a multiple linear…arrow_forwardExercises: Find all the whole number solutions of the congruence equation. 1. 3x 8 mod 11 2. 2x+3= 8 mod 12 3. 3x+12= 7 mod 10 4. 4x+6= 5 mod 8 5. 5x+3= 8 mod 12arrow_forwardScenario Sales of products by color follow a peculiar, but predictable, pattern that determines how many units will sell in any given year. This pattern is shown below Product Color 1995 1996 1997 Red 28 42 21 1998 23 1999 29 2000 2001 2002 Unit Sales 2003 2004 15 8 4 2 1 2005 2006 discontinued Green 26 39 20 22 28 14 7 4 2 White 43 65 33 36 45 23 12 Brown 58 87 44 48 60 Yellow 37 56 28 31 Black 28 42 21 Orange 19 29 Purple Total 28 42 21 49 68 78 95 123 176 181 164 127 24 179 Questions A) Which color will sell the most units in 2007? B) Which color will sell the most units combined in the 2007 to 2009 period? Please show all your analysis, leave formulas in cells, and specify any assumptions you make.arrow_forward
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