![Understanding Basic Statistics](https://www.bartleby.com/isbn_cover_images/9781337672320/9781337672320_largeCoverImage.jpg)
Concept explainers
Terminology Consider the graph of a
(i) The graph is bell-shaped, with the highest point over the p.
(ii) The graph is symmetrical about a vertical line through
(iii)The graph crosses the horizontal azis at
(iv)The area under the graph to the right of
(v) The probability that x is between a and b is the area under the curve between a and b.
(i)
![Check Mark](/static/check-mark.png)
The statement “The graph of a normal probability distribution is bell-shaped, with the highest point over the
Answer to Problem 1CR
Solution: The statement “The graph of a normal probability distribution is bell-shaped, with the highest point over the
Explanation of Solution
The graph of a normal probability distribution is bell-shaped, with the highest point over the
(ii)
![Check Mark](/static/check-mark.png)
The statement “The graph of a normal probability distribution is symmetrical about a vertical line through
Answer to Problem 1CR
Solution: The statement “The graph of a normal probability distribution is symmetrical about a vertical line through
Explanation of Solution
The graph of a normal probability distribution is symmetrical about a vertical line through
(iii)
![Check Mark](/static/check-mark.png)
The statement “The graph of a normal probability distribution crosses the horizontal axis at
Answer to Problem 1CR
Solution: The statement “The graph of a normal probability distribution crosses the horizontal axis at
Explanation of Solution
The graph of a normal probability distribution crosses the horizontal axis at
(iv)
![Check Mark](/static/check-mark.png)
The statement “The area under the graph of a normal probability distribution to the right of at
Answer to Problem 1CR
Solution: The statement “The area under the graph of a normal probability distribution to the right of at
Explanation of Solution
The area under the graph of a normal probability distribution to the right of at
(v)
![Check Mark](/static/check-mark.png)
The statement “The probability that x is between a and b is the area under the curve between a and b” is true or false.
Answer to Problem 1CR
Solution: The statement “The probability that x is between a and b is the area under the curve between a and b” is true.
Explanation of Solution
The probability that x is between a andb is the area under the curve between a and b is true. The curve used to describe the distribution of a continuous random variable is called probability distribution curve. It tells what proportion of the population falls within any given interval.
Want to see more full solutions like this?
Chapter 7 Solutions
Understanding Basic Statistics
- Let X be a random variable with support SX = {−3, 0.5, 3, −2.5, 3.5}. Part ofits probability mass function (PMF) is given bypX(−3) = 0.15, pX(−2.5) = 0.3, pX(3) = 0.2, pX(3.5) = 0.15.(a) Find pX(0.5).(b) Find the cumulative distribution function (CDF), FX(x), of X.1(c) Sketch the graph of FX(x).arrow_forwardA well-known company predominantly makes flat pack furniture for students. Variability with the automated machinery means the wood components are cut with a standard deviation in length of 0.45 mm. After they are cut the components are measured. If their length is more than 1.2 mm from the required length, the components are rejected. a) Calculate the percentage of components that get rejected. b) In a manufacturing run of 1000 units, how many are expected to be rejected? c) The company wishes to install more accurate equipment in order to reduce the rejection rate by one-half, using the same ±1.2mm rejection criterion. Calculate the maximum acceptable standard deviation of the new process.arrow_forward5. Let X and Y be independent random variables and let the superscripts denote symmetrization (recall Sect. 3.6). Show that (X + Y) X+ys.arrow_forward
- 8. Suppose that the moments of the random variable X are constant, that is, suppose that EX" =c for all n ≥ 1, for some constant c. Find the distribution of X.arrow_forward9. The concentration function of a random variable X is defined as Qx(h) = sup P(x ≤ X ≤x+h), h>0. Show that, if X and Y are independent random variables, then Qx+y (h) min{Qx(h). Qr (h)).arrow_forward10. Prove that, if (t)=1+0(12) as asf->> O is a characteristic function, then p = 1.arrow_forward
- 9. The concentration function of a random variable X is defined as Qx(h) sup P(x ≤x≤x+h), h>0. (b) Is it true that Qx(ah) =aQx (h)?arrow_forward3. Let X1, X2,..., X, be independent, Exp(1)-distributed random variables, and set V₁₁ = max Xk and W₁ = X₁+x+x+ Isk≤narrow_forward7. Consider the function (t)=(1+|t|)e, ER. (a) Prove that is a characteristic function. (b) Prove that the corresponding distribution is absolutely continuous. (c) Prove, departing from itself, that the distribution has finite mean and variance. (d) Prove, without computation, that the mean equals 0. (e) Compute the density.arrow_forward
- 1. Show, by using characteristic, or moment generating functions, that if fx(x) = ½ex, -∞0 < x < ∞, then XY₁ - Y2, where Y₁ and Y2 are independent, exponentially distributed random variables.arrow_forward1. Show, by using characteristic, or moment generating functions, that if 1 fx(x): x) = ½exarrow_forward1990) 02-02 50% mesob berceus +7 What's the probability of getting more than 1 head on 10 flips of a fair coin?arrow_forward
- Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw HillAlgebra & Trigonometry with Analytic GeometryAlgebraISBN:9781133382119Author:SwokowskiPublisher:Cengage
- Trigonometry (MindTap Course List)TrigonometryISBN:9781337278461Author:Ron LarsonPublisher:Cengage Learning
![Text book image](https://www.bartleby.com/isbn_cover_images/9780079039897/9780079039897_smallCoverImage.jpg)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781337282291/9781337282291_smallCoverImage.gif)
![Text book image](https://www.bartleby.com/isbn_cover_images/9781337278461/9781337278461_smallCoverImage.gif)