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APPLIED STAT.IN BUS.+ECONOMICS
6th Edition
ISBN: 9781259957598
Author: DOANE
Publisher: RENT MCG
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Textbook Question
Chapter 3, Problem 1CR
Name two attractive features and two limitations of the (a) stem-and-leaf plot and (b) dot plot.
a.
Expert Solution
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To determine
Give two attractive features and two limitations of the stem-and-leaf plot.
Explanation of Solution
Stem-and-leaf plot:
The simple way that is used to visualize the small data sets is termed as stem-and-leaf plot.
The two attractive features are,
- It is a tool for exploratory data analysis which reveals the data features.
- It divides the data into two parts, such that, stem and leaf.
The two limitations are,
- It only works well on small samples.
- It is not appropriate for decimal data and multi digit data.
b.
Expert Solution
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To determine
Give two attractive features and two limitations of the dot plot.
Explanation of Solution
Dot plot:
One of the simple graphical displays of a group of individual values of numerical data is termed as dot plot.
The two attractive features are,
- It is an attractive tool for data exploration.
- Outliers are easily identified in the dotplot.
The two limitations are,
- It’s not useful to compare more than 2 sequences.
- The frequency of a data value is not identified in a dotplot.
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Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp
Mean
Median
First Quartile (Q1)
Second Quartile (Q2)
Third Quartile (Q3)
Fourth Quartile (Q4)
10th Percentile
70th Percentile
Skewness
Kurtosis
Document Your Results:
In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command”
In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…
Chapter 3 Solutions
APPLIED STAT.IN BUS.+ECONOMICS
Ch. 3.1 - (a) Make a stem-and-leaf plot for these 24...Ch. 3.1 - (a) Make a stem-and-leaf plot for the number of...Ch. 3.1 - (a) Make a stacked dot plot to compare the lengths...Ch. 3.2 - (a) The table shows the number of days on the...Ch. 3.2 - (a) The table shows raw scores on a state civil...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - (a) Make a frequency distribution and histogram...Ch. 3.2 - For each frequency distribution, suggest nice...Ch. 3.2 - Below are sorted data showing average spending per...
Ch. 3.4 - (a) Use Excel to prepare a line chart to display...Ch. 3.4 - Prob. 12SECh. 3.4 - Prob. 13SECh. 3.4 - (a) Use Excel to prepare a line chart to display...Ch. 3.5 - Prob. 15SECh. 3.5 - The table shows the number of TVs sold by a major...Ch. 3.6 - (a) Use Excel to prepare a 2-D pie chart for these...Ch. 3.6 - Prob. 19SECh. 3.6 - Prob. 20SECh. 3.7 - (a) Use Excel to make a scatter plot of the data...Ch. 3.7 - Prob. 22SECh. 3.7 - Prob. 23SECh. 3.7 - (a) Use Excel to make a scatter plot of the data,...Ch. 3 - Name two attractive features and two limitations...Ch. 3 - (a) What is a frequency distribution? (b) What are...Ch. 3 - (a) What is a histogram? (b) What does it show?Ch. 3 - (a) What is a bimodal histogram? (b) Explain the...Ch. 3 - (a) What is a scatter plot? (b) What do scatter...Ch. 3 - For what kind of data would we use a bar chart?...Ch. 3 - For what kind of data would we use a line chart?...Ch. 3 - (a) List the three most common types of charts in...Ch. 3 - (a) For what kind of data would we use a pie...Ch. 3 - Which types of charts can be used for time series...Ch. 3 - (a) When might we need a log scale? (b) What do...Ch. 3 - When might we use a stacked column chart? An area...Ch. 3 - List five deceptive graphical techniques.Ch. 3 - What is a pivot table? Why is it useful?Ch. 3 - The durations (minutes) of 26 electric power...Ch. 3 - The U.S. Postal Service will ship a Priority Mail,...Ch. 3 - A study of 40 U.S. cardiac care centers showed the...Ch. 3 - Prob. 28CECh. 3 - An executives telephone log showed the following...Ch. 3 - Below are batting averages of the New York Yankees...Ch. 3 - Prob. 31CECh. 3 - Prob. 32CECh. 3 - Download the full data set from the McGraw-Hill...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - Prob. 38CECh. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - (a) What kind of display is this? (b) Identify its...Ch. 3 - Prob. 41CECh. 3 - Prob. 42CECh. 3 - (a) Use Excel to prepare an appropriate type of...Ch. 3 - Prob. 44CECh. 3 - Prob. 45CECh. 3 - (a) Use Excel to prepare an appropriate type of...Ch. 3 - Prob. 47CECh. 3 - (a) Use Excel to prepare an appropriate type of...
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- Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…arrow_forward2 (VaR and ES) Suppose X1 are independent. Prove that ~ Unif[-0.5, 0.5] and X2 VaRa (X1X2) < VaRa(X1) + VaRa (X2). ~ Unif[-0.5, 0.5]arrow_forward8 (Correlation and Diversification) Assume we have two stocks, A and B, show that a particular combination of the two stocks produce a risk-free portfolio when the correlation between the return of A and B is -1.arrow_forward
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