5.) The average travel time of senior high school students in Pasig City is 32.07 minutes with standard deviation of 15.02 minutes. If we take 400 samples what would be the mean and standard deviation of the sampling distribution of sample mean? A.) ux = 32.07 and ox = 0.75 B.) µx = 32.07 and ox = 15.02 C.) ux = 32.07 and ox = 32.07 D.) ux = 32.07 and ox = 400

5.) The average travel time of senior high school students in Pasig City is 32.07 minutes with standard deviation of 15.02 minutes. If we take 400 samples what would be the mean and standard deviation of the sampling distribution of sample mean? A.) ux = 32.07 and ox = 0.75 B.) µx = 32.07 and ox = 15.02 C.) ux = 32.07 and ox = 32.07 D.) ux = 32.07 and ox = 400

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

8. The variability of sizes of the batch of screws were studied by the company owner. They took a sample of 20 screw and found out that the deviation, s? = 0.0153 mm?. The variation should only to be under +0.1mm2 to prevent reworks. At 5% CI, conduct hypothesis testing.
A population has a mean μ=138 and a standard deviation σ=23. Find the mean and standard deviation of the sampling distribution of sample means with sample size n=41.
Assume that weights of adult females are normally distributed with a mean of 79 kg and a standard deviation of 22 kg. What percentage of individual adult females have weights between 74 kg and 84 kg? If samples of 64 adult females are randomly selected and the mean weight is computed for each sample, what percentage of the sample means are between 74 kg and 84 kg?
A population has a meanu= 157 and a standard deviation o= 27. Find the mean and standard deviation of the sampling distribution of sample means with sample size n= 54. The mean is µ; = |, and the standard deviation is o; = (Round to three decimal places as needed.)
What test can be used to test the difference between two means when the population standard deviations are known Ox² Oz Ot OF
There are four numbers in a data set. They are 5, 3, 7, and 11. a) What is the ∑∑ x2x2 b) What is the (∑x)2(∑x)2 c) The formula for the population variance, σ2σ2 is ∑x2−(∑x)2nn∑x2-(∑x)2nn Use parts a and b to help calculate the population variance. d. Now get the population standard deviation.
3. Normal Distribution and Z - Scores Assume a normal distribution for a population of scores for a standardized exam. The average exam score is 70, and the standard deviation is 5. Jeff's exam score is 63. a) What percentage of the population has an exam score greater than Jeff's? b) What percentage of the population has an exam score greater than Jeff's but less than the score of 74? c) If 10,000 people were given the exam, how many of them have an exam score less than Jeff's?
To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 42 feet. Assume the population standard deviation is 4.7 feet. The mean braking distance for Make B is 45 feet. Assume the population standard deviation is 4.4 feet. At a = 0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. Complete parts (a) rari rz (b) Find the critical value(s) and identify the rejection region(s). The critical value(s) is/are (Round to three decimal places as needed. Use a comma to separate answers as needed.)
An engineer working for a manufacturer of electronic components takes a large number of measurements of a particular dimension of components from the production line. She finds that the distribution of dimensions is normal, with a mean of 2.340 cm and a standard deviation of 0.056 cm. a.) What percentage of measurements will be greater than 2.45 cm.? b.) What percentage of dimensions will be between 2.25 cm. and 2.45 cm.? c.) What value of the dimension will not be exceeded by 98% of the components?
The standard deviation of the distribution of sample means would be equal to:
The mean wage per hour for all 4000 employees working at a large company is RM 10.50 with a standard deviation of RM 5.30. Let x be the mean wage per hour for a random sample of certain employees selected from this company.
if the population standard deviation is 1.6, then Find the standard deviation of x forb an SRS of 68 observations