Purchase Solution

Generating Simple Random Samples

Not what you're looking for?

Ask Custom Question

A company's QC dept. has recorded the proportion of defective items for each of 500 monthly shipments of one of the computer components that the company produces (data in attached file).The QC dept. manager does not have time to review all of this data. Instead she would like to examine the proportions of defective items for a sample of these shipments.

a) Use Excel to generate a simple random sample of size 25 from the given frame.

b) Compute the point estimate of the population mean from the sample selected in part a. What is the sampling error in this case? Assume that the population consists of the proportion of defective items for each of the given 500 monthly shipments.

c) Determine a good approximation to the standard error of the mean in this case.

d) Repeat parts b and c after generating a simple random sample of size 50 from the given frame.

Attachments
Purchase this Solution
Solution Summary

The solution uses Excel to generate simple random samples. The point estimate of the population mean from the sample selected is determined.

Solution Preview

See the attached file.

Part a)
Sample 1
Random No Set ...

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

View More Free Quizzes
Related BrainMass Solutions

  • Types of Sampling

    [In cluster sampling, random samples are not taken from a few clusters only leaving out some.] (2) This is Simple Random Sampling.

  • Types of Random Samples

    Does this sampling plan result in a simple random sample? No, it is not a simple random sample because some samples are not possible. For example, a sample includes teachers from schools that were not selected.

  • Monte Carlo Simulation Discussion

    To estimate from simulation can be done by generating samples of from the density and substituting in the equation: This Solution contains over 100 and calculations words to aid you in understanding the Solution to this question.

  • Generating a Simple Random Sample

    Repeat parts b and c after generating a simple random sample of size 50 from the given frame. What I need? I have tried to do a simple random sample on my own but I am having problems. Could you tell me the following?

  • hypothesis test with dependent t test

    The mean tar content of a simple random sample of 25 filtered 100 mm cigarettes is 13.2 mg with a standard deviation of 3.7 mg. Assume that the two samples are independent simple random samples, selected from normally distributed populations.

  • Statistics - Simple Random Sampling & Cluster Sampling

    First-stage samples are drawn (say by simple random sampling) from the population, and from these samples; second-stage samples are drawn, either using simple random sampling or by any other method. Stages may be added as required.

  • Sampling techniques

    Then do a simple random sample of f = n/N in each strata.  There are several major reasons why you might prefer stratified sampling over simple random sampling.

  • Six Types Random Sampling And Example Uses

    Random area sampling are random number tables generating coordinated or grid references which are used to mark the bottom left corner of quadrats or grids squares to be sampled.

  • Statistics

    Assume that both samples are independent simple random samples from populations having normal distributions.

View More Related Solutions