Introduction to Business Statistics
7th Edition
ISBN: 9781111792374
Author: WEIERS
Publisher: Cengage Learning
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Chapter 2, Problem 2.64CE
To determine
To construct the dot plot for the provided data set of temperature and identify if there are any cities that could be interpreted as outlier because of high temperature. If yes, name them.
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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 2 Solutions
Introduction to Business Statistics
Ch. 2.2 - What is a frequency distribution? What benefits...Ch. 2.2 - Prob. 2.2ECh. 2.2 - The National Safety Council reports the following...Ch. 2.2 - Prob. 2.4ECh. 2.2 - Prob. 2.5ECh. 2.2 - Using the frequency distribution in Exercisc 2.5,...Ch. 2.2 - What is meant by the statement that the set of...Ch. 2.2 - For commercial banks in each state, the U.S....Ch. 2.2 - The accompanying data describe the hourly wage...Ch. 2.2 - The following performance scores have been...
Ch. 2.2 - During his career in the NHL, hockey great Wayne...Ch. 2.2 - According to the U.S. Department of Agriculture,...Ch. 2.2 - Convert the distribution in Exercise 2.3 to a...Ch. 2.2 - Prob. 2.14ECh. 2.2 - Using the frequency distribution obtained in...Ch. 2.2 - For the frequency distribution constructed in...Ch. 2.2 - Prob. 2.17ECh. 2.2 - Prob. 2.18ECh. 2.2 - Prob. 2.19ECh. 2.3 - Construct a stem-and-leaf display for the...Ch. 2.3 - Prob. 2.21ECh. 2.3 - In the following stem-and-leaf display for a set...Ch. 2.3 - Prob. 2.23ECh. 2.3 - Prob. 2.24ECh. 2.3 - Prob. 2.25ECh. 2.3 - Prob. 2.26ECh. 2.3 - Prob. 2.28ECh. 2.4 - What is the difference between a histogram and a...Ch. 2.4 - Prob. 2.30ECh. 2.4 - Prob. 2.31ECh. 2.4 - Prob. 2.32ECh. 2.4 - Prob. 2.33ECh. 2.4 - Prob. 2.34ECh. 2.4 - It has been estimated that 92.9% of U.S....Ch. 2.4 - Prob. 2.37ECh. 2.5 - What is a scatterplot, and for what kind of data...Ch. 2.5 - Prob. 2.39ECh. 2.5 - Prob. 2.40ECh. 2.5 - Prob. 2.41ECh. 2.5 - For six local offices of a large tax prepartion...Ch. 2.5 - In the 2009 stress tests applied to the nation’s...Ch. 2.5 - Prob. 2.44ECh. 2.5 - Prob. 2.45ECh. 2.6 - Prob. 2.46ECh. 2.6 - Difference between simple tabulation and...Ch. 2.6 - Prob. 2.48ECh. 2.6 - For the fleet described in Exercise 2.48, a....Ch. 2.6 - Prob. 2.50ECh. 2.6 - Prob. 2.51ECh. 2.6 - Prob. 2.52ECh. 2.6 - Prob. 2.53ECh. 2.6 - Prob. 2.54ECh. 2 - The breakdown of U.S. cities having a population...Ch. 2 - The National Oceanic and Atmospheric...Ch. 2 - Prob. 2.57CECh. 2 - Prob. 2.58CECh. 2 - Prob. 2.59CECh. 2 - Prob. 2.60CECh. 2 - The following stem-and-leaf output has been...Ch. 2 - For the period 2001—2008, the lristol-Myers Squibb...Ch. 2 - Prob. 2.63CECh. 2 - Prob. 2.64CECh. 2 - Prob. 2.65CECh. 2 - Prob. 2.66CECh. 2 - Prob. 2.67CECh. 2 - Prob. 2.68CECh. 2 - Prob. 2.69CECh. 2 - Prob. 2.70CECh. 2 - Using 10-yard intervals beginning with 200.0—under...Ch. 2 - Using the same intervals as in part 1, construct a...Ch. 2 - Prob. 1.3IC
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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
- 9 (Portfolio allocation) Suppose R₁ and R2 are returns of 2 assets and with expected return and variance respectively r₁ and 72 and variance-covariance σ2, 0%½ and σ12. Find −∞ ≤ w ≤ ∞ such that the portfolio wR₁ + (1 - w) R₂ has the smallest risk.arrow_forward7 (Multivariate random variable) Suppose X, €1, €2, €3 are IID N(0, 1) and Y2 Y₁ = 0.2 0.8X + €1, Y₂ = 0.3 +0.7X+ €2, Y3 = 0.2 + 0.9X + €3. = (In models like this, X is called the common factors of Y₁, Y₂, Y3.) Y = (Y1, Y2, Y3). (a) Find E(Y) and cov(Y). (b) What can you observe from cov(Y). Writearrow_forward1 (VaR and ES) Suppose X ~ f(x) with 1+x, if 0> x > −1 f(x) = 1−x if 1 x > 0 Find VaRo.05 (X) and ES0.05 (X).arrow_forward
- Joy is making Christmas gifts. She has 6 1/12 feet of yarn and will need 4 1/4 to complete our project. How much yarn will she have left over compute this solution in two different ways arrow_forwardSolve for X. Explain each step. 2^2x • 2^-4=8arrow_forwardOne hundred people were surveyed, and one question pertained to their educational background. The results of this question and their genders are given in the following table. Female (F) Male (F′) Total College degree (D) 30 20 50 No college degree (D′) 30 20 50 Total 60 40 100 If a person is selected at random from those surveyed, find the probability of each of the following events.1. The person is female or has a college degree. Answer: equation editor Equation Editor 2. The person is male or does not have a college degree. Answer: equation editor Equation Editor 3. The person is female or does not have a college degree.arrow_forward
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