
a.
Create a gauge for each automaker.
a.

Explanation of Solution
The gauge for each automaker can be made using the Excel software.
Software Procedure:
Enter the data in Excel using following steps:
Open Excel sheet and name column A as Complaint (A1) and column B as Gauge (B1).
Enter 300, 200 and 500 in the cells A2:A4 (complaint levels-low, medium and high) and 1000 in A5 (sum of all entries in the column).
Under the gauge column, enter 169 (number of complaints received by American Honda) in B2, 5 (width of the pointer of the gauge) in B3, and enter the formula,
The constructed table in excel looks as follows:
Procedure to construct Gauge:
Select both the columns together.
Go to Insert > Charts > All Charts > Combo > Create Custom Combo Chart…
Change the first Chart type to Doughnut and second Chart type to Pie.
Check the secondary axis box for Pie and keep the secondary axis box for doughnut unchecked.
Click on OK.
Click on graph and go to Format and select Series “gauge� from the drop-down box in the Current Selection area.
Click on Format Selection in the Current Selection area.
In the Format Data Series area, change the ‘Angle of first slice’ of the secondary Axis to
Use Ctrl plus the right arrow key to move to each section of the pie.
Go to the Series ‘gauge’ Point 1 using the above method.
Click on Fill & Line option in the Format Data Series area.
Under the Fill list, select no fill.
Do the same above three steps to select solid fill (Black color) for Series ‘gauge’ Point 2 and no fill for Series ‘gauge’ Point 3.
From the drop-down box in the Current Selection area change Series “gauge� to Series ‘Complaint’.
Click on Format Selection in the Current Selection area.
In the Format Data Series area, change the ‘Angle of first slice’ of the secondary Axis to
Use Ctrl plus the right arrow key to move to each section of the doughnut.
Go to the Series ‘Complaint’ Point 1 using the above method.
Click on Fill & Line option in the Format Data Series area.
Under the Fill list, select solid fill and choose a green color.
Perform the same above three steps to select solid fill (blue color) for Series ‘Complaint’ Point 2, solid fill (red color) for Series ‘Complaint’ Point 3 and no fill for Series ‘Complaint’ Point 4.
Delete legends from the pie chart.
Rename the chart title as per the company.
Now, replace the number of complaints received by individual automakers to obtain the respective gauge one by one.
From the above procedure, the obtained gauge for each automaker are as follows:
b.
Construct the bullet graph for the automakers.
b.

Explanation of Solution
The bullet graph for the automakers can be created using the Excel software.
Software procedure:
Step by step procedure to create the required bullet graph is as follows:
Enter the given data in Excel and select the data.
Select Insert, then the bar chart icon, and select first 2-D Bar gallery item (Clustered bar).
In the newly constructed bar chart, click on plus sign and uncheck Gridlines.
Right click in the whitespace to the right of chart title and click Format chart area in the shortcut menu.
In the fill part of format chart area pane select No fill.
In the cell
Select Insert, then the bar chart icon, and select second 2-D bar gallery item (Stacked bar).
In the newly constructed bar chart, click on plus sign and uncheck every box.
Right click in the white space to the right of chart title area and click on Select Data in the shortcut menu.
In the data Select Source Dialog box, click Switch Row/Column and then click on OK.
Right click one stacked bar and then click on Format Data Series. In the series option part, change the gap width to
Adjust the size of chart and right click the chart border and select Send to Back > Send to Back in the shortcut menu.
Drag the bar chart with transparent background over the stacked bar chart, such that both charts coincide.
The obtained bullet graph in Excel is as shown below:
c.
Mention the display that is more effective at comparing the number of complaints received by each automaker.
c.

Explanation of Solution
The bullet graph displays the data in a single graph, while gauges should be plotted for each automaker separately. Thus, the bullet graph is a more efficient way to display the data as it requires less space than the gauges. Moreover, the bullet graph also provides the ease of comparing the data at the same time.
Want to see more full solutions like this?
Chapter 17 Solutions
Basic Business Statistics, Student Value Edition (13th Edition)
- I need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forwardI need help with this problem and an explanation of the solution for the image described below. (Statistics: Engineering Probabilities)arrow_forward3. Consider the following regression model: Yi Bo+B1x1 + = ···· + ßpxip + Єi, i = 1, . . ., n, where are i.i.d. ~ N (0,0²). (i) Give the MLE of ẞ and σ², where ẞ = (Bo, B₁,..., Bp)T. (ii) Derive explicitly the expressions of AIC and BIC for the above linear regression model, based on their general formulae.arrow_forward
- How does the width of prediction intervals for ARMA(p,q) models change as the forecast horizon increases? Grows to infinity at a square root rate Depends on the model parameters Converges to a fixed value Grows to infinity at a linear ratearrow_forwardConsider the AR(3) model X₁ = 0.6Xt-1 − 0.4Xt-2 +0.1Xt-3. What is the value of the PACF at lag 2? 0.6 Not enough information None of these values 0.1 -0.4 이arrow_forwardSuppose you are gambling on a roulette wheel. Each time the wheel is spun, the result is one of the outcomes 0, 1, and so on through 36. Of these outcomes, 18 are red, 18 are black, and 1 is green. On each spin you bet $5 that a red outcome will occur and $1 that the green outcome will occur. If red occurs, you win a net $4. (You win $10 from red and nothing from green.) If green occurs, you win a net $24. (You win $30 from green and nothing from red.) If black occurs, you lose everything you bet for a loss of $6. a. Use simulation to generate 1,000 plays from this strategy. Each play should indicate the net amount won or lost. Then, based on these outcomes, calculate a 95% confidence interval for the total net amount won or lost from 1,000 plays of the game. (Round your answers to two decimal places and if your answer is negative value, enter "minus" sign.) I worked out the Upper Limit, but I can't seem to arrive at the correct answer for the Lower Limit. What is the Lower Limit?…arrow_forward
- Let us suppose we have some article reported on a study of potential sources of injury to equine veterinarians conducted at a university veterinary hospital. Forces on the hand were measured for several common activities that veterinarians engage in when examining or treating horses. We will consider the forces on the hands for two tasks, lifting and using ultrasound. Assume that both sample sizes are 6, the sample mean force for lifting was 6.2 pounds with standard deviation 1.5 pounds, and the sample mean force for using ultrasound was 6.4 pounds with standard deviation 0.3 pounds. Assume that the standard deviations are known. Suppose that you wanted to detect a true difference in mean force of 0.25 pounds on the hands for these two activities. Under the null hypothesis, 40 0. What level of type II error would you recommend here? = Round your answer to four decimal places (e.g. 98.7654). Use α = 0.05. β = 0.0594 What sample size would be required? Assume the sample sizes are to be…arrow_forwardConsider the hypothesis test Ho: 0 s² = = 4.5; s² = 2.3. Use a = 0.01. = σ against H₁: 6 > σ2. Suppose that the sample sizes are n₁ = 20 and 2 = 8, and that (a) Test the hypothesis. Round your answers to two decimal places (e.g. 98.76). The test statistic is fo = 1.96 The critical value is f = 6.18 Conclusion: fail to reject the null hypothesis at a = 0.01. (b) Construct the confidence interval on 02/2/622 which can be used to test the hypothesis: (Round your answer to two decimal places (e.g. 98.76).) 035arrow_forwardUsing the method of sections need help solving this please explain im stuckarrow_forward
- Please solve 6.31 by using the method of sections im stuck and need explanationarrow_forwarda) When two variables are correlated, can the researcher be sure that one variable causes the other? If YES , why? If NO , why? b) What is meant by the statement that two variables are related? Discuss.arrow_forwardSCIE 211 Lab 3: Graphing and DataWorksheetPre-lab Questions:1. When should you use each of the following types of graphs? Fill answers in the table below.Type of Graph Used to showLine graphScatter plotBar graphHistogramPie Chart2. Several ways in which we can be fooled or misled by a graph were identified in the Lab 3Introduction. Find two examples of misleading graphs on the Internet and paste them below. Besure to identify why each graph is misleading. Data Charts:Circumference vs. Diameter for circular objectsDiameter Can 1 (cm) Can 2 (cm) Can 3 (cm)Trial 1Trial 2Trial 3MeanCircumference Can 1 (cm) Can 2 (cm) Can 3 (cm)Trial 1Trial 2Trial 3MeanScatter Plot Graph – Circumference Vs. DiameterIdentify 2 points of the Trendline.Y1 = ________ Y2 = _________X1 = ________ X2 = _________Calculate the Slope of the Trendline = Post-lab Questions:1. Answer the questions below. You will need to use the following equation to answer…arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillBig Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin HarcourtHolt 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



