Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
3rd Edition
ISBN: 9781259969454
Author: William Navidi Prof.; Barry Monk Professor
Publisher: McGraw-Hill Education
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Chapter 12.2, Problem 12E
Beryllium disease: Beryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics- Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized: continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows:
- Compute the expected frequencies under the null hypothesis.
- Compute the value of the chi-square statistic.
- How many degrees of freedom are there?
- Test the hypothesis of independence. Using the
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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
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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…
2 (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]
Chapter 12 Solutions
Elementary Statistics ( 3rd International Edition ) Isbn:9781260092561
Ch. 12.1 - In Exercises 9 and 10, fill in each blank with the...Ch. 12.1 - Prob. 10ECh. 12.1 - In Exercises 11 and 12, determine whether the...Ch. 12.1 - Prob. 12ECh. 12.1 - Find the =0.05 critical value for the chi-square...Ch. 12.1 - Find the =0.01 critical value for the chi-square...Ch. 12.1 - Find the area to the right of 24.725 under the...Ch. 12.1 - Find the area to the right of 40.256 under the...Ch. 12.1 - For the following observed and expected...Ch. 12.1 - For the following observed and expected...
Ch. 12.1 - Following are observed frequencies. The null...Ch. 12.1 - Following are observed frequencies. The null...Ch. 12.1 - Is the lottery fair? Mega Millions is a multistate...Ch. 12.1 - Grade distribution: A statistics teacher claims...Ch. 12.1 - False alarm: The numbers of false fire alarms were...Ch. 12.1 - Crime rates: The FBI computed the proportion of...Ch. 12.1 - Prob. 25ECh. 12.1 - Prob. 26ECh. 12.1 - Economic future: A Heartland Monitor poll taken in...Ch. 12.1 - Prob. 28ECh. 12.1 - Fair die? A gambler rolls a die 600 times to...Ch. 12.2 - In Exercises 3-5, fill in each blank with the...Ch. 12.2 - Prob. 4ECh. 12.2 - Prob. 5ECh. 12.2 - Prob. 6ECh. 12.2 - Prob. 7ECh. 12.2 - In Exercises 6-8, determine whether the statement...Ch. 12.2 - For the given table of observed frequencies:...Ch. 12.2 - For the given table of observed frequencies:...Ch. 12.2 - Carbon monoxide: A recent study examined the...Ch. 12.2 - Beryllium disease: Beryllium is an extremely...Ch. 12.2 - No smoking: The General Social Survey conducted a...Ch. 12.2 - How big is your family? The General Social Survey...Ch. 12.2 - Age discrimination: The following table presents...Ch. 12.2 - Schools and museums: Do people who are interested...Ch. 12.2 - Prob. 17ECh. 12.2 - Prob. 18ECh. 12.2 - Prob. 19ECh. 12.2 - Are you an optimist? The General Social Survey...Ch. 12 - A contingency table containing observed values has...Ch. 12 - Prob. 2CQCh. 12 - Prob. 3CQCh. 12 - Prob. 4CQCh. 12 - Prob. 5CQCh. 12 - Prob. 6CQCh. 12 - Exercises 4-9 refer to the following data:...Ch. 12 - Prob. 8CQCh. 12 - Exercises refer to the following data: Electric...Ch. 12 - Prob. 10CQCh. 12 - Exercises 10-15 refer to the following data:...Ch. 12 - Prob. 12CQCh. 12 - Prob. 13CQCh. 12 - Prob. 14CQCh. 12 - Prob. 15CQCh. 12 - Prob. 1RECh. 12 - Prob. 2RECh. 12 - Prob. 3RECh. 12 - Prob. 4RECh. 12 - Prob. 5RECh. 12 - Prob. 6RECh. 12 - Prob. 7RECh. 12 - Prob. 8RECh. 12 - Prob. 9RECh. 12 - Prob. 10RECh. 12 - Prob. 11RECh. 12 - Prob. 12RECh. 12 - Prob. 13RECh. 12 - Prob. 14RECh. 12 - Prob. 15RECh. 12 - Prob. 1WAICh. 12 - Prob. 2WAICh. 12 - Prob. 3WAICh. 12 - Prob. 4WAICh. 12 - Prob. 1CSCh. 12 - Prob. 2CSCh. 12 - Prob. 3CSCh. 12 - Prob. 4CSCh. 12 - Prob. 5CSCh. 12 - Prob. 6CSCh. 12 - Prob. 7CSCh. 12 - We conclude that department is associated with...
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- 8 (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_forward9 (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_forward
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