About 71% of all female heart transplant patients will survive for at least 3 years. Eighty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least3 years will be less than 67%? Assume the sampling distribution of sample proportions is a normal distribution. The mean of the sample proportion is equal to the population proportion and the standard deviation ispqequal toThe probability that the sample proportion surviving for at least 3 years will be less than 67% is. (Round to four decimal places as needed.)

Given Data population proportion,p = 0.71 sample size n = 80

Answered: About 71% of all female heart…

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

The average final exam score for the statistics course is 79%. A professor wants to see if the average final exam score for students who are given colored pens on the first day of class is different. The final exam scores for the 11 randomly selected students who were given the colored pens are shown below. Assume that the distribution of the gopulation is normal. 91, 74, 66, 52, 61, 90, 59, 75, 70, 82, 84 What can be concluded at the the a 0.10 level of significance level of significance? a. For this study, we should use t-test for a population mean b. The null and alternative hypotheses would be: H1: c. The test statistic t = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is s a f. Based on this, we should fail to reject g. Thus, the final conclusion is that ythe null hypothesis. The data suggest the populaton mean is significantly different from 79 at a = 0.10, so there is statistically significant…
Find the probability for the sample proportion of men who experience sleep apnea to be less than 18%?
About 73% of all female heart transplant patients will survive for at least 3 years. Sixty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 68%? ASsume the sampling distribution of sample proportions is a normal distribution. The mean of the sample proportion is equal to the population proportion and the standard deviation is equal to pq in The probability that the sample proportion surviving for at least 3 years will be less than 68% is | (Round to four decimal places as needed.)
About 80% of all female heart transplant patients will survive for at least 3 years. Seventy female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 75%? Assume the sampling distribution of sample proportions is a normal distribution. The mean and the sample proportion is equlal to the population proportion and the standard deviation is equal to pq/n
A racing car consumes a mean of 103 gallons of gas per race with a variance of 36. If 38 racing cars are randomly selected, what is the probability that the sample mean would be greater than 101.5 gallons? Round your answer to four decimal places.
Please help me answer this!
About 73% of all female heart transplant patients will survive for at least 3 years. Sixty female heart transplant patients are randomly selected. What is the probability that the sample proportion surviving for at least 3 years will be less than 64%? Assume the sampling distribution of sample proportions is a normal distribution. The mean of the sample proportion is equal to the population proportion and the standard deviation is equal to pq n The probability that the sample proportion surviving for at least 3 years will be less than 64% is (Roun to four decimal places as needed.)
Suppose the average amount of money that people spend on their pets per month is 47 dollars, with a standard deviation of 6 dollars. For a sample of 36 people, final the average amount of money spent on pets that defines the bottom 30% in the distribution.For a sample of 36 people, what is the probability for this sample’s mean to be higher than 50 dollars.
A professor of statistics noticed that the marks in his course are normally distributed. He also noticed that his morning classes average 73% with a standard deviation of 12% on their final exams. His afternoon classes average 79% with a standard deviation of 11%. A. What is the probability that a randomly selected student in the morning class has a higher final exam mark than a randomly selected student from an afternoon class? Probability = B. What is the probability that the mean mark of four randomly selected students from a morning class is greater than the average mark of four randomly selected students from an afternoon class? Probability =
In a Normal distribution, the average is 45 and standard deviation is 12. What is the probability that the outcome is MORE than 40?
Sketch the distribution, show the mean and standard error, and shade the part of the curve corresponding to your calculation. Suppose that at a large university, 34% of the students decide to take their classes online. 2. Now, if the researcher takes a different sample of 1000 students, what is the probability that at least 35% of the new sample will decide to take classes online?
An instructor gives a test to a class containing several hundred students. It is known that the standard deviation of the scores is 14 points. A random sample of 49 scores is obtained. a. What is the probability that the average score of the students in the sample will differ from the overall average by more than 2 points? b. What is the probability that the average score of the students in the sample will be within 3 points of the overall average?

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