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ashtin6 ashtin6
wrote...
Posts: 316
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6 years ago
Name and describe the types of nonprobability sampling.

Question 2

Lots of segmentation schemes fail because marketers focus on the wrong criteria.
 a. True
  b. False
 Indicate whether the statement is true or false

Question 3

A workcenter is a fixed layout where the product remains in place for the duration of production.
 
 Indicate whether the statement is true or false

Question 4

ABC Groceries sells private label pastries and pastries made by a local bakery that is a channel partner. This is an example of __________ competition.
 a. vertical
  b. horizontal
  c. breadth
  d. unfair

Question 5

Compare and contrast random sampling and systematic (nonsampling) errors.

Question 6

Sometimes segments appear small only because the clustering was done too finely.
 a. True
  b. False
 Indicate whether the statement is true or false

Question 7

MRP is most effective at managing independent demand items
 
 Indicate whether the statement is true or false

Question 8

Bling, Inc produces jewelry that it sells to retail jewelry stores. One of Bling's customers is Ice Jewels, a chain of jewelry stores with locations in dozens of malls across the United States. Both Bling, Inc and Ice Jewels want to make a profit off the merchandise manufactured by Bling, Inc This scenario is best described as
 a. greed.
  b. double marginalization.
  c. compromising.
  d. dual marketing.

Question 9

List the stages in the selection of a sample.
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2 Replies

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Replies
wrote...
6 years ago
Answer to #1

Nonprobability sampling is a sampling technique in which units of the sample are selected on the basis of personal judgments or convenience, and there are four types discussed in the chapter:
(1) Convenience sampling: obtaining people or units that are conveniently available.
(2) Judgment sampling: also called purposive sampling; an experienced individual selects the sample based on his or her judgment about some appropriate characteristics required of the sample member.
(3) Quota sampling: ensures that the various subgroups in a population are represented on pertinent sample characteristics to the exact extent that the investigators desire.
(4) Snowball sampling: involves using probability methods for an initial selection of respondents and then obtaining additional respondents through information provided by the initial respondents.

Answer to #2

TRUE

Answer to #3

FALSE

Answer to #4

a

Answer to #5

Random sampling error is the difference between the sample result and the result of an accurate census. It occurs because of chance variations in the selection of sampling units. The sampling units, even if properly selected according to sampling theory, may not perfectly represent the population because of chance variation. Random sampling error is a function of sample size, and as sample size increases, random sampling error decreases. Systematic (nonsampling) errors result from nonsampling factors, primarily the nature of a study's design and the correctness of execution. These errors are systematic in some way and not due to chance fluctuations. Errors due to sample selection problems are nonsampling errors and should not be classified as random sampling errors.

Answer to #6

TRUE

Answer to #7

FALSE

Answer to #8

b

Answer to #9

Before taking a sample, researchers must make several decisions. While these decisions are presented as a series of sequential stages, the order of the decisions does not always follow this sequence. These stages are:
(1) Define the target population
(2) Select a sampling frame
(3) Determine if a probability or nonprobability sampling method will be chosen
(4) Plan procedure for selecting sampling units
(5) Determine sample size
(6) Select actual sampling units
(7) Conduct fieldwork
ashtin6 Author
wrote...
6 years ago
I'm seriously surprised that you found the answers... What's your secret?!
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