Purchase Solution

Random Sampling

Not what you're looking for?

Ask Custom Question

Please see attached.

Problem 1: A population of 1000 employee consists of the following categories:

Category A: 150 male above 55 year old
Category B: 100 female above 55 year old
Category C: 350 male below 55 year old
Category D: 400 female below 55 year old

The company was interested to determine employee Performance with respect to age and experience and gender. It decided to take a sample of 40 employee representing all categories.

(1) What kind of sampling would you recommend: random or stratified?
(2) Using stratified sample, how many would you draw of each category to compose the whole sample in proportional weight allocation?
(3) Go to Excel Data Analysis and perform the following:
(a) Random sample of 40
(b) Stratified sample of 40

Attachments
Purchase this Solution
Solution Summary

Random sampling populations are provided. Employee performance with respect to age and experiences are determined.

Solution provided by:
Gaurav Agarwal, MS
Education
  • BE, Bangalore University, India
  • MS, University of Wisconsin-Madison
Recent Feedback
  • "Your explanation to the answers were very helpful."
  • "What does 1 and 0 means in the repair column?"
  • "Went through all of the formulas, excellent work! This really helped me!"
  • "try others as well please"
  • "Thank you, this helped a lot. I was not sure how to plug in those numbers to a formula. This was a great help. Now I have to figure out how to explain cost of capital is used in net present value analysis, and how cost of capital is used in net present value analysis. This stuff gets confusing."
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.

Measures of Central Tendency

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

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Difference between random sampling and stratified random sampling

    254906 Difference between random sampling and stratified random sampling Discuss the difference between random sampling and stratified random sampling. When is it most appropriate to use stratified random sampling techniques?

  • Systematic Sampling and Simple Random Sampling

    484193 Systematic Sampling and Simple Random Sampling Please help answer the following questions. In what ways is a systematic sample more efficient than a simple random sample?

  • Statistics - Simple Random Sampling & Cluster Sampling

    This solution provides a detailed explanation of simple random sampling, cluster sampling, systemic random sampling, and stratified random sampling. Additionally, the solution outlines the strengths and weaknesses of all four of these sampling types.

  • Unrestricted Random Sampling Without Replacement

    Unrestricted random sampling normally results in a smaller sample size than does stratified sampling. FALSE - (Unrestricted random sampling normally results in a larger sample size than stratified sampling).

  • 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.

  • Sample Type

    Thus, sampling error is about the same as for simple random sampling. In addition, since only the first element is chosen at random, it is simpler than simple random sampling, where all elements are selected at random.

  • Sampling techniques

    1.simple random sampling 2.stratified random sampling 3.systematic random sampling 4.cluster random sampling ANSWER: 2. Stratified random sampling.

  • Random Sampling Guarantees

    The solution discusses three reasons, the first being that random sampling is done when the population or area is large, the second being that random sampling must be done on the complete population, and that random sampling must be current.

  • Similarities Between Sampling Methods

    573458 Similarities Between Sampling Methods Non-random sampling method Simple random sampling method Systematic sampling Cluster sampling, multistage sampling Proportionate sampling Stratified sampling method 1).

  • Limitations and Alternatives to Random Sampling

    588152 Limitations and Alternatives to Random Sampling When is it possible to conduct random sampling, and when is it not? Give an example of a research question that might make random sampling really difficult?

View More Related Solutions