![Understanding Basic Statistics](https://www.bartleby.com/isbn_cover_images/9781337558075/9781337558075_largeCoverImage.gif)
Concept explainers
Estimating the Standard Deviation: Veterinary Science How much should a healthy kitten weigh? A healthy 10-week-old (domestic) kitten should weigh an average of
(a) Estimate the standard deviation of the x distribution. Hint: See Problem 31.
(b) What is the
(c) What is the probability that a healthy 10-week-old kitten will weigh more than 33 ounces?
(d) What is the probability that a healthy 10-week-old kitten will weigh between 14 and 33 ounces?
(e) Inverse
(a)
![Check Mark](/static/check-mark.png)
The standard deviation of x values using rule of thumb.
Answer to Problem 34P
Solution:
The standard deviation of x values using rule of thumb is 5.25.
Explanation of Solution
According to the rule of thumb for estimating the standard deviation from 95% range of data values is:
The standard deviation of x values using rule of thumb is 5.25.
(b)
![Check Mark](/static/check-mark.png)
The probability that a healthy 10 week old kitten will weigh less than 14 ounces.
Answer to Problem 34P
Solution:
The probability that a healthy 10 week old kitten will weigh less than 14 ounces is 0.0228.
Explanation of Solution
We have normal distribution with
By using formula for normal distribution:-
By using Table 3 from appendix
The probability that a healthy 10 week old kitten will weigh less than 14 ounces is 0.0228.
(c)
![Check Mark](/static/check-mark.png)
The probability that a healthy 10 week old kitten will weigh more than 33 ounces.
Answer to Problem 34P
Solution:
The probability that a healthy 10 week old kitten will weigh more than 33 ounces is 0.0526.
Explanation of Solution
We have normal distribution with
By using formula for normal distribution:-
By using Table 3 from appendix
The probability that a healthy 10 week old kitten will weigh more than 33 ounces is 0.0526.
(d)
![Check Mark](/static/check-mark.png)
The probability that a healthy 10 week old kitten will weigh between 14 and 33 ounces.
Answer to Problem 34P
Solution:
The probability that a healthy 10 week old kitten will weigh between 14 and 33 ounces is 0.9246.
Explanation of Solution
We have normal distribution with
By using formula for normal distribution:-
By using Table 3 from appendix
The probability that a healthy 10 week old kitten will weigh between 14 and 33 ounces is 0.9246.
(e)
![Check Mark](/static/check-mark.png)
The cutoff point for the weight of an undernourished kitten.
Answer to Problem 34P
Solution:
The cutoff point for the weight of an undernourished kitten is 17.8 ounces.
Explanation of Solution
We have normal distribution with
A kitten whose weight is in the bottom 10% of the probability distribution of weights is called undernourished.
From above we have
Area left of z = 0.10
By using Table 3 from appendix
By using formula for normal distribution:-
The cutoff point for the weight of an undernourished kitten is 17.8 ounces.
Want to see more full solutions like this?
Chapter 7 Solutions
Understanding Basic Statistics
- 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
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
![Text book image](https://www.bartleby.com/isbn_cover_images/9780079039897/9780079039897_smallCoverImage.jpg)