According to a study conducted by a statistical organization, the proportion of people who are satisfied with the way things are going in their lives is 0.84. Suppose that arandom sample of 100 people is obtained. Complete parts (a) through (e) below.OC. The sample proportion p is a random variable because the value of p represents a random person included in the sample. The variability is due to the fact thatdifferent people feel differently regarding their satisfaction.OD. The sample proportion p is a random variable because the value of p varies from sample to sample. The variability is due to the fact that people may not beresponding to the question truthfully.Question Viewer(c) Describe the sampling distribution of p, the proportion of people who are satisfied with the way things are going in their life. Be sure to verify the model requirements.≥10, the distribution of p is skewed rightwith HA= and σA =Since the sample size is no less than 5% of the population size and np(1-p) =(Round to three decimal places as needed.)Р(d) In the sample obtained in part (a), what is the probability that the proportion who are satisfied with the way things are going in their life exceeds 0.86?The probability that the proportion who are satisfied with the way things are going in their life exceeds 0.86 is(Round to four decimal places as needed.)(e) Using the distribution from part (c), would it be unusual for a survey of 100 people to reveal that 76 or fewer people in the sample are satisfied with their lives?which is not unusual because this probability is not less than 0.05%.The probability that 76 or fewer people in the sample are satisfied is(Round to four decimal places as needed.)3 According to a study conducted by a statistical organization, the proportion of people who are satisfied with the way things are going in their lives is 0.84. Suppose that arandom sample of 100 people is obtained. Complete parts (a) through (e) below.(a) Suppose the random sample of 100 people is asked, "Are you satisfied with the way things are going in your life?" Is the response to this question qualitativeor quantitative? Explain.O A. The response is qualitative because the number of people satisfied can be counted.OB. The response is quantitative because the responses can be classified based on the characteristic of being satisfied or not.OC. The response is qualitative because the responses can be classified based on the characteristic of being satisfied or not.OD. The response is quantitative because the number of people satisfied can be counted.(b) Explain why the sample proportion, p, is a random variable. What is the source of the variability?OA. The sample proportion p is a random variable because the value of p varies from sample to sample. The variability is due to the fact that different people feeldifferently regarding their satisfaction.OB.The sample proportion p is a random variable because the value of p represents a random person included in the sample. The variability is due to the fact thatpeople may not be responding to the question truthfully.C. The sample proportion p is a random variable because the value of p represents a random person included in the sample. The variability is due to the fact thatdifferent people feel differently regarding their satisfaction.

Hey there! Thank you for posting the question. Since your question has more than 3 parts, we are…

Answered: organization, the proportion of people…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Insurance componies track life expertancy info to assist in determining the cost of life insurance polocies. The insurance compony knows that last year the life expectancy of its polocy holders was 77 years. They want to know if their clients this year have a longer life expectancy, on average, so the company randomy samples some of the recently paid polices to see if the mean life expectancy of polcy holders has increased. Sample: 86,75, 83, 84, 81, 77, 78, 79, 79,81, 76, 85, 70,76, 79,81, 73, 74, 72, 83. 1) Does this sample indicate that the insurance company should change its premiums because life expectancy has increased? 2) For more accurate cost determination, the insurance companies want to estimate the life expectancy to within one year with 95% confidence. How many randomly selected records would you need to have?
What effect does increasing the sample size have on the probability? Provide an explanation for this result. Choose the correct answer below. A. The probability increases because the variability in the sample mean decreases as the sample size increases. B. The probability increases because the variability in the sample mean increases as the sample size increases. C. The probability decreases because the variability in the sample mean increases as the sample size increases. D. The probability decreases because the variability in the sample mean decreases as the sample size increases.
help,
fill in blank, there are only 3 options, decreases, increases or remain the same.
Everyone studied extremely hard for the quiz in the Statistics and Probability Course. There were 10 questions in the quiz, and the scores are distributed as follows. Compute for the mean, median, and mode for this set of data.
K The population of ages at inauguration of all U.S. Presidents who had professions in the military is 62, 46, 68, 64, 57. Why does it not make sense to construct a histogram for this data set? Choose the correct answer below. O A. With a data set that is so small, the true nature of the distribution cannot be seen with a histogram. OB. There must be an even number of data values in the data set to create a histogram. OC. This data set would yield a histogram that is not bell-shaped. O D. Adequate class boundaries for a histogram cannot be found with this data set.
please answer carefully for upvote
Need help urgently please
Treat the dataset as your bag of peanut M&M’s (a simple random sample). Count the number of orange M&M’s and the total number of M&M’s in your bag. Then determine the proportion of your M&M’s that are orange. Number of orange M&M’s: 13 Total number of M&M’s: 65 Proportion of orange M&M’s: 0.2 Question below is according to this.
The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c). September 68 56 54 65 57 65 93 71 67 April 68 57 56 68 61 71 88 69 67 a. Use a 0.01 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. In this example, Hd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? Ho Hd 0 kg H₁ Hd > 0…
Suppose that you are using independent samples to compare two population proportions. Fill in the blanks. a. The mean of all possible differences between the two sample proportions equals the_______.b. For large samples, the possible differences between the two samplel proportions have approximately a_________distribution.
The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c). September 68 71 57 81 68 56 65 64 71 April 64 69 58 82 69 58 68 68 77 a. Use a 0.05 significance level to test the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April. In this example, Hd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the April weight minus the September weight. What are the null and alternative hypotheses for the hypothesis test? Ho Hd = 0 kg 0 kg H₁…

SEE MORE QUESTIONS

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS