Samplings In this week's readings, simple random sampling, systematic, stratified, and cluster sampling are discussed.  Define each of the sampling methods.  Then, post two examples of sampling situations BUT DO NOT IDENTIFY THE TYPE OF SAMPLING. Identify and discuss the types of sampling represented in your peers’ examples.  Module 4 - SLP Sampling In this assignment, you will continue to collect data for another 5–10 days. Write a paper (1–3 pages) including all of the following content: · Recalculate the mean, standard deviation, and variance. · Is your mean increasing or decreasing? · Explain the effects of the larger sample size in relation to your data. · Do you think the current sample you have is enough to draw an accurate conclusion, or do you need a larger sample?  · What conclusions can you draw from comparing both sets of data? Submit your paper at the end of Module 4. SLP Assignment Expectations Answer all questions posted in the instructions. Use information from the modular background readings and videos as well as any good-quality resource you can find. Cite all sources in APA style and include a reference list at the end of your paper. Note about page length: Your ability to clearly articulate and explain these concepts is being assessed. The page length is a general guideline. A 3- or 4-page paper does not necessarily guarantee a grade of “A.” An “A” paper would include detailed information and explanations of all the assignment requirements listed above. The letter grade will be based upon demonstrated mastery of the content and ability to articulate and apply the concepts in the assignment. Keep this in mind while writing your paper. Module4 is all about sampling. Go over the definitions to identify the sampling methods.  Give a brief explanation to your answers.    SLP is to collect 5-10 more days of data and compare the mean of the current set of data with the previous data set. So if you have 10 days of data before and you have collected 5 more days of data, then you are comparing 10 data values with 15 data values. Find out other relevant measurements. Mention central limit theorem (CLT) to answer, if you need a larger sample. You can check Khan Academy for CLT. Module 4 - Outcomes Sampling · Module · Define sampling methods and terminology. · Identify situations when sampling is appropriate. · Draw the proper inferences about the population after the sample has been evaluated. · Describe the process of selecting and evaluating a sample. · Explain the effects of a larger sample size in relation to data. · Case · Define sampling methods and terminology. · Identify situations when sampling is appropriate. · Draw the proper inferences about the population after the sample has been evaluated. · Describe the process of selecting and evaluating a sample. · SLP · Explain the effects of a larger samples size in relation to data. · Describe the process of selecting and evaluating a sample. · Draw conclusions from comp.

1. Samplings
In this week's readings, simple random sampling, systematic,
stratified, and cluster sampling are discussed. Define each of
the sampling methods. Then, post two examples of sampling
situations BUT DO NOT IDENTIFY THE TYPE OF
SAMPLING. Identify and discuss the types of sampling
represented in your peers’ examples.
Module 4 - SLP
Sampling
In this assignment, you will continue to collect data for another
5–10 days. Write a paper (1–3 pages) including all of the
following content:
· Recalculate the mean, standard deviation, and variance.
· Is your mean increasing or decreasing?
· Explain the effects of the larger sample size in relation to your
data.
· Do you think the current sample you have is enough to draw
an accurate conclusion, or do you need a larger sample?
· What conclusions can you draw from comparing both sets of
data?
Submit your paper at the end of Module 4.
SLP Assignment Expectations
Answer all questions posted in the instructions. Use information
from the modular background readings and videos as well as
any good-quality resource you can find. Cite all sources in APA
style and include a reference list at the end of your paper.
Note about page length: Your ability to clearly articulate and
explain these concepts is being assessed. The page length is a
general guideline. A 3- or 4-page paper does not necessarily
guarantee a grade of “A.” An “A” paper would include detailed
information and explanations of all the assignment requirements
listed above. The letter grade will be based upon demonstrated

2. mastery of the content and ability to articulate and apply the
concepts in the assignment. Keep this in mind while writing
your paper.
Module4 is all about sampling. Go over the definitions to
identify the sampling methods. Give a brief explanation to your
answers.
SLP is to collect 5-10 more days of data and compare the
mean of the current set of data with the previous data set. So if
you have 10 days of data before and you have collected 5 more
days of data, then you are comparing 10 data values with 15
data values. Find out other relevant measurements. Mention
central limit theorem (CLT) to answer, if you need a larger
sample. You can check Khan Academy for CLT.
Module 4 - Outcomes
Sampling
· Module
· Define sampling methods and terminology.
· Identify situations when sampling is appropriate.
· Draw the proper inferences about the population after the
sample has been evaluated.
· Describe the process of selecting and evaluating a sample.
· Explain the effects of a larger sample size in relation to data.
· Case
· Define sampling methods and terminology.
· Identify situations when sampling is appropriate.
· Draw the proper inferences about the population after the
sample has been evaluated.
· Describe the process of selecting and evaluating a sample.
· SLP
· Explain the effects of a larger samples size in relation to data.
· Describe the process of selecting and evaluating a sample.

3. · Draw conclusions from comparing two data sets.
· Discussion
· Describe the process of selecting and evaluating a sample.
Module 4 - Home
Sampling
Modular Learning Outcomes
Upon successful completion of this module, the student will be
able to satisfy the following outcomes:
· Case
· Define sampling methods and terminology.
· Identify situations when sampling is appropriate.
· Draw the proper inferences about the population after the
sample has been evaluated.
· Describe the process of selecting and evaluating a sample.
· SLP
· Explain the effects of a larger samples size in relation to data.
· Describe the process of selecting and evaluating a sample.
· Draw conclusions from comparing two data sets.
· Discussion
· Describe the process of selecting and evaluating a sample.
Module Overview
In many situations, it is desirable to reach a statistical
conclusion about a population of data but that set of data is far
too large to test completely. Thus, we have long employed the
concept of statistical sampling.
The process is very straight forward. First, we select a
representative sample of observations from the population. This
may be random or some variation of a random sample. Second,
we test the sample we have selected. Third, based on the results
of this sample testing, we make an inference about the
population.
It is essential to understand that we do not know the true facts
about the population but we can only make an inference through
this sampling technique. Statistical sampling tools take this

4. sampling error into consideration in the manner in which the
results are expressed.
Module 4 - Case
Sampling
Case Assignment
Problems need to include all required steps and answer(s) for
full credit. All answers need to be reduced to lowest terms
where possible.
Answer the following problems showing your work and
explaining (or analyzing) your results.
1. Define the following terms in your own words.
· Population
· Sample
· Bias
· Design
· Response bias
2. Define and provide an example for each design method.
· Simple random sampling
· Systematic sampling
· Stratified sampling
· Cluster sampling
3. Choose one design method from the list above. Using your
example, make a list of 2-3 advantages and 2-3 disadvantages
for using the method.
4. The name of each student in a class is written on a separate
card. The cards are placed in a bag. Three names are picked
from the bag. Identify which type of sampling is used and why.
5. A phone company obtains an alphabetical list of names of
homeowners in a city. They select every 25th person from the
list until a sample of 100 is obtained. They then call these 100
people to advertise their services. Does this sampling plan
result in a random sample? What about a simple random
sample? Explain why or why not.
6. The manager of a company wants to investigate job
satisfaction among its employees. One morning after a meeting,

5. she talks to all 25 employees who attended. Does this sampling
plan result in a random sample? What type of sample is it?
Explain.
7. An education expert is researching teaching methods and
wishes to interview teachers from a particular school district.
She randomly selects 10 schools from the district and interviews
all of the teachers at the selected schools. Does this sampling
plan result in a random sample? What type of sample is it?
Explain.
8. Fifty-one sophomore, 42 junior, and 55 senior students are
selected from classes with 516, 428, and 551 students
respectively. Identify which type of sampling is used and
explain your reasoning.
9. You want to investigate the workplace attitudes concerning
new policies that were put into effect. You have funding and
support to contact at most 100 people. Choose a design method
and discuss the following:
i. Describe the sample design method you will use and why.
i. Specify the population and sample group. Will you include
everyone who works for the company, certain departments, full
or part-time employees, etc.?
i. Discuss the bias, on the part of both the researcher and
participants.
1. A local newspaper wanted to gather information about house
sales in the area. It distributed 25,000 electronic surveys to its
readers asking questions about house sales in the past 6 months.
Of the surveys sent out, 3.2% were returned. The results found
that 92% of people did not sell their house in the past 6 months
and 85% of people would expect a loss if they sold their house.
The writer wants to use these results to conclude that the
housing market is declining, and we are headed for a recession.
j. Explain the bias and sampling error in this study.
j. Should the writer conclude that the housing market is
declining based upon this data?
j. Why or why not?

6. Module 4 - Background
Sampling
You can download the full, digital version of a statistics book
using the link below. (Version in PDF, on the left side)
Lane, D. M. (n.d.). Online Statistics Education: A multimedia
course of study. Retrieved from
http://onlinestatbook.com/2/index.html
Required Materials
Digital Readings
Read section D from
Lane, D. M., & Hebl, M. (n.d.). Online Statistics Education:
Introduction. Retrieved from
http://onlinestatbook.com/2/introduction/introduction.html
Read sections A–H from
Lane, D. M. (n.d.). Online Statistics Education: Research
Design. Retrieved from
http://onlinestatbook.com/2/research_design/contents.html
Read sections External Validity, Sampling Terminology,
Statistical Terms in Sampling, Probability Sampling, and
Nonprobability Sampling from
Trochim, W.M.K. (2006). Research methods knowledge base:
Probability sampling. Retrieved from
http://www.socialresearchmethods.net/kb/sampling.php
Videos and Exercises
Using the websites below, watch the videos and complete the
practice exercises for the topics in BOLD:
Khan Academy. (2014). Statistical studies. Retrieved from
https://www.khanacademy.org/math/probability/statistical-
studies
· Types of statistical studies (3 videos, 1 practice exercises)
Khan Academy. (2010). Surveys and samples. Retrieved from
http://www.youtube.com/watch?v=nabw6v93Xns
Optional
Easton, V.J., & McColl, J.H. (n.d.). Statistics glossary.

7. Retrieved from
http://www.stats.gla.ac.uk/steps/glossary/sampling.html