(a)
Section 1:
To find: The sample proportion of the students who takes breakfast regularly.
(a)
Section 1:
Answer to Problem 16E
Solution: The sample proportion of the students who takes breakfast regularly is
Explanation of Solution
Given: The randomly selected samples of 300 students are asked on their regular eating habits of breakfast. The survey showed that 109 students eat their breakfast regularly.
Explanation:
Calculation: The formula for sample proportion is defined as:
Here,
Substitute
Therefore, the sample proportion
Section 2:
To find: The standard error
Section 2:
Answer to Problem 16E
Solution: The standard error
Explanation of Solution
Calculation: The formula for standard error
The sample proportion
Therefore, the standard error is obtained as 0.0278.
Section 3:
To find: The margin of error for 95% confidence level.
Section 3:
Answer to Problem 16E
Solution: The margin of error for 95% confidence level is
Explanation of Solution
Calculation: The formula for margin of error m is defined as:
Here,
The standard error is obtained as
So, the margin of error is obtained as:
Therefore, the margin of error is obtained as 0.0545.
(b)
Whether the guidelines to use the large-sample confidence interval for population proportion are satisfied.
(b)
Answer to Problem 16E
Solution: Yes, the guidelines are satisfied to use the large-sample confidence interval for the population proportion.
Explanation of Solution
In the provided problem of eating breakfast, the number of successes is defined as the number of students who eat their breakfast regularly. So, the number of successes is 109.
The number of failures is obtained as,
The obtained number of successes and failures shows that they are more than 10.
Therefore, the guidelines to use the large-sample confidence interval for a population proportion are satisfied.
(c)
To find: The 95% large-sample confidence interval for the population proportion.
(c)
Answer to Problem 16E
Solution: The 95% large-sample confidence interval is
Explanation of Solution
Calculation: The formula for large-sample confidence interval for population proportion p is defined as:
Here,
The sample proportion
Substitute the values of margin of error and sample proportion in the formula for confidence interval. Therefore, the large-sample confidence interval is obtained as:
Therefore, the required confidence interval is obtained as
(d)
To explain: A short statement on the meaning of the obtained confidence interval.
(d)
Answer to Problem 16E
Solution: The obtained confidence interval shows that it is 95% confident that between 30.88% and 41.78% of students responded that they eat their breakfast regularly.
Explanation of Solution
This shows that there is 95% confidence that the percentage of the students who responded that they eat their breakfast regularly is lie between 30.88% and 41.78%.
Want to see more full solutions like this?
Chapter 8 Solutions
EBK INTRODUCTION TO THE PRACTICE OF STA
- 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
- 9. The concentration function of a random variable X is defined as Qx(h) sup P(x≤x≤x+h), h>0. = x (a) Show that Qx+b(h) = Qx(h).arrow_forwardSuppose that you buy a lottery ticket, and you have to pick six numbers from 1 through 50 (repetitions allowed). Which combination is more likely to win: 13, 48, 17, 22, 6, 39 or 1, 2, 3, 4, 5, 6? barrow_forward2 Make a histogram from this data set of test scores: 72, 79, 81, 80, 63, 62, 89, 99, 50, 78, 87, 97, 55, 69, 97, 87, 88, 99, 76, 78, 65, 77, 88, 90, and 81. Would a pie chart be appropriate for this data? ganizing Quantitative Data: Charts and Graphs 45arrow_forward
- 10 Meteorologists use computer models to predict when and where a hurricane will hit shore. Suppose they predict that hurricane Stat has a 20 percent chance of hitting the East Coast. a. On what info are the meteorologists basing this prediction? b. Why is this prediction harder to make than your chance of getting a head on your next coin toss? U anoiaarrow_forward6. Show that one cannot find independent, identically distributed random variables X and Y such that X-YE U(-1, 1). 7 Consider al onarrow_forward2 Which situation is more likely to produce exactly 50 percent heads: flipping a coin 10 times or flipping a coin 10,000 times?arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman