STP 231 Lecture Notes - Lecture 18: Square Root, Standard Deviation, Horse Length

40 views5 pages

limeyak740

23 Oct 2015

School

ASU

Department

Statistics and Probability

Course

STP 231

Professor

Zhang

For unlimited access to Class Notes, a Class+ subscription is required.

Document Summary

Sampling error: an error that occurs when we use samples to estimate a population characteristic. Sampling distribution of a statistic: probability distribution that specifies probabilities for all possible values the statistic can take. Capital x is now a statistic or sampling distribution of sample mean. The random variable of the population is the number of meals per day. The population mean construct the sampling distribution of the sample mean for: (e) for sample of each size, find the probability the sample mean will be equal to the population mean. (f) for sample of each size, find the probability the sampling error made in estimating the population mean by the sample mean will be 1 or less. Using the number 1, 3, 5, 7. Sampling distribution is made up of the sample mean and probability. All possible samples when sample size is 2 (n=2): Could combine the samples 1,7 and 3,5. Their probability would become 2/6 or 1/3.

Related Questions

6. As the test statistic becomes larger, the p-value

(a) gets smaller

(b) becomes larger

(d) becomes negative.

7. To describe the sampling distribution of the sample proportion, we use

(a) The sample proportion

(b) The population proportion

(d) The population mean

8. When small samples are used to estimate a population mean, in cases where the population standard deviation is unknown and the original distribution is normal:

(a) There always will be a large amount of sampling error.

(b) the t-distribution must be used to obtain the critical value.

(d) the z distribution must be used to obtain the critical value.

periwinkleyellowjacket100

A population consists of the following five values 2, 3, 4,4, and 5.

a. List all samples of size 2 from left to right without replacement, and compute the mean of each sample (round you mean value to 1 decimal place).

b. Compute the mean of the distribution of sample means and the population means (Round your answers to 1 decimal place).

Simple means ..................

Population means................

purpleskunk267

Vacation Hours Earned earned by Blue-Collar and Service Employees. The US Bureau of Labor Statistics (BLS) reported that the mean annual number of hours of vacation time earned by blue-collar and service employees who work for small private establishments and have at least 10 years of service is 100. Assume that for this population the standard deviation for the annual number of hours earned is 48. Suppose the BLS would like to select a sample of 15,000 individuals from this population for a follow-up study.

a. Show the sampling distribution of the sample mean( ) of 15, 000 individuals from this population.

b. What is the probability that a simple random sample of 15,000 individuals from this population will provide a sample mean that is within 1 hour of the population mean?

c. Suppose the mean annual number of hours of vacation time earned for a sample of 15,000 blue-collar and service employees who work for small private establishments have at least 10 years of service differs from the population mean ( ) by more than an hour. Considering your results in part b) how would you interpret this result?

orchidminnow356

STP 231 Lecture Notes - Lecture 18: Square Root, Standard Deviation, Horse Length

Document Summary

Get access

Related Documents

STP 231 Lecture Notes - Lecture 11: Statistic, Sampling Distribution, Statistical Parameter

STP 231 Lecture Notes - Lecture 21: Standard Deviation, Point Estimation, Normal Distribution

STP 231 Lecture Notes - Lecture 22: Sampling Distribution

Related Questions