In a large university, the proportion of students who live in the dormitories is 0.30. A random sample of 150 students is selected for a particular study.
The standard deviation of p ¯, known as the standard error of the proportion (σ p ¯) is approximately
In a large university, the proportion of students who live in the dormitories is 0.30. A...
In a local university, 66% of the students live in the dormitories. A random sample of 70 students is selected for a particular study. We know that the standard error of the proportion is 0.0566. Find the probability that the sample proportion (the proportion living in the dormitories) is between 0.64 and 0.67.
In a local university, 66% of the students live in the dormitories. A random sample of 80 students is selected for a particular study. We know that the standard error of the proportion is 0.0530. Find the probability that the sample proportion (the proportion living in the dormitories) is between 0.65 and 0.68.
4. In a local university, 10% of the students live in the dormitories. A random sample of 100 students is selected for a particular study a) What is the probability that the sample proportion (the proportion living in the dormitories) is between 0.172 and 0.178? b) What is the probability that the sample proportion is greater than 0.025?
QUESTION 7 1 poit Exhibit 7-3 In a local university, 40% of the students live in the dormitories. A random sample of 80 students is selected for a particular study Refer to Exhibit 7-3. The probability that the sample proportion (the proportion living in the dormitories) is at least 0.30 is O 0.4664 O 0.9328 0.9664 0.0336
QUESTION 35 (Problem Set #4) It is known that a bottle of cologne has on average 4 ounces of content with the standard deviation of 0.13 ounces. A random sample of 100 bottles is selected. The standard deviation of the sample mean is a. 0.542 ounces b. 0.013 ounces c. 0.500 ounces d. 4 ounces 3.75 points QUESTION 36 (Problem Set #5) In a large university, 70% of the students live in the dormitories. A random sample of 110...
you extract a sample of 115 students from this university. The sample proportion is the proportion of students in this sample who live on campus. The standard deviation of the sampling distribution of this sample proportion, rounded to four decimal places, is: 5. A random sample of 82 customers, who visited a department store, spent an average of $71 at this store. Suppose the standard deviation ofexpenditures at this store is σ. $19. The 98% confidence interval for the population...
7. In a large university (45,000 students) it is known that 71% of the students live on campus. a) If we considered samples of 200 students, describe the sampling distribution of the sample proportion of students who live on campus. (Hint – we said there were three things you needed to mention in a full description, and there is check you must perform to be able to describe one of those 3 things!) [3] b) Show the work in finding...
live off campus, a taken. A large university has 52,864 students and of these 19,037 off campus, a random sample of 200 students is find expected of students campus. value our and standard error of number random sample that live off in Show work Find expected value and standard error of the percentage of students in our random sumple that live off campus. Show Work
It has been seen that the mean grade point average for students who live on campus is 2.75 with standard deviation of 0.43, while that of students who live off campus is 2.6 with standard deviation of 0.68. 7 sophomores are randomly selected from campus dormitories at a college and 20 sophomores are randomly selected from students who live off campus. The mean grade point averages of the two groups are compared. The expected difference in the sample grade point...
QUESTION 4 The GPAs of all students enrolled at a large university have an approximately normal distribution with a mean of 3.05 and a standard deviation of 0.30. Find the probability that the mean GPA of a random sample of 49 students selected from this university is 2.75 or lower. Round your answer to four decimal places. Attach File