![Mathematical Statistics with Applications](https://www.bartleby.com/isbn_cover_images/9780495110811/9780495110811_largeCoverImage.gif)
Concept explainers
a.
Find the exact and approximate values of
a.
![Check Mark](/static/check-mark.png)
Answer to Problem 67E
The exact and approximate values of
The exact and approximate values of
The exact and approximate values of
The exact and approximate values of
Explanation of Solution
From the given information, Y follows binomial distribution and
For
Step-by-step procedure to obtain the probability using APPLET:
- Choose Normal approximation to binomial distribution under Applets.
- Set the n value as 5 and p value as 0.20.
- Select the bars 0 and 4.
Output using APPLET is given below:
From the above output, it can be observed that exact and approximate values are 0.9997 and 0.9532, respectively.
Thus, the exact and approximate values of
For
Step-by-step procedure to obtain the probability using APPLET:
- Choose Normal approximation to binomial distribution under Applets.
- Set the n value as 10 and p value as 0.20.
- Select the bars 0 and 5.
Output using APPLET is given below:
From the above output, it can be observed that exact and approximate values are 0.9936 and 0.9731, respectively.
Thus, the exact and approximate values of
For
Step-by-step procedure to obtain the probability using APPLET:
- Choose Normal approximation to binomial distribution under Applets.
- Set the n value as 15 and p value as 0.20.
- Select the bars 0 and 6.
Output using APPLET is given below:
From the above output, it can be observed that exact and approximate values are 0.9819 and 0.9761, respectively.
Thus, the exact and approximate values of
For
Step-by-step procedure to obtain the probability using APPLET:
- Choose Normal approximation to binomial distribution under Applets.
- Set the n value as 20 and p value as 0.20.
- Select the bars 0 and 7.
Output using APPLET is given below:
From the above output, it can be observed that exact and approximate values are 0.9679 and 0.9689, respectively.
Thus, the exact and approximate values of
b.
Give the observation about the shapes of the binomial histograms as the
Give the observation about the differences between the exact and approximate values of
b.
![Check Mark](/static/check-mark.png)
Answer to Problem 67E
The observation is that the shapes of the binomial histograms tend to bell shaped by increasing the sample size.
The difference between the exact and approximate values of
Explanation of Solution
From the histograms in part a, it can be observed that as the sample size increases the binomial histograms become bell shaped.
Thus, the observation is that the shapes of the binomial histograms tend to bell shaped by increasing the sample size.
From the part a, it can be observed that
The exact and approximate values of
The exact and approximate values of
The exact and approximate values of
The exact and approximate values of
From the above results it can be observed that as the sample size increases the difference between the exact and approximate values of
Thus, the difference between the exact and approximate values of
c.
Find the sample size n for the approximation to be adequate.
Check whether this is consistent with that observed in parts (a) and (b).
c.
![Check Mark](/static/check-mark.png)
Answer to Problem 67E
The sample size n for the approximation to be adequate is 36.
The sample size is consistent with that observed in parts (a) and (b).
Explanation of Solution
It is known that, the normal approximate to the binomial approximation is adequate if
From the given information,
Then,
Thus, the sample size n for the approximation to be adequate is 36.
From the parts a and b it can be observed that as the sample size increases the exact and approximate values of
Thus, the sample size is consistent with that observed in parts (a) and (b).
Want to see more full solutions like this?
Chapter 7 Solutions
Mathematical Statistics with Applications
- 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 Hill
![Text book image](https://www.bartleby.com/isbn_cover_images/9780079039897/9780079039897_smallCoverImage.jpg)