Mastering English in Business I - Proposal

Topics: Sampling, Data, Simple random sample Pages: 6 (1397 words) Published: March 12, 2014
BRIA Exam:
Q.1 (50%)
Q.3 (50%)
Lec 6 – Q.6 (12%)
Lec 4 – Q.4(10%)
Lec 7 – Q.8 (8%)
Lec 8 – Q.16 (14%)
(C )
Lec 8 – Q.15 (12%)
(C )
Lec 10 – Q.1
Lec 2 – Q.1 (8%)
Lec 6 – Q.4(6%)
Lec 2 – Q.3 (8%)
Lec 6 – Q.5(6%)

Lec 2 Literature Review and Referencing: Q.1

What is the problem of secondary data quality must researchers face?

Researchers should evaluate and select information sources based on these factors Purpose, Scope, Authority and Audience. Need carefully review this exhibit with the class and apply this analysis the information and mention it.

Purpose, it can influence the quality, because purpose can clearly define the quality data and clearly state.

Scope, the scope of the literature review include the types of interviewee and the types of the industry. Specially, the range of the secondary data is wild, that means it is easy appear the noise and affect the data.

Authority, the researchers have authority to get the data set and the questionnaire that means this data is reliable.

Audience, the secondary data’s target audience. Since the secondary data target audience not the same with our audience pool. Also, it have varies and professional predicates述語 in it, thus it is not easy to understand the content.

Lec 2 Literature review and referencing: Q.3

Management research question hierarchy for a management dilemma.

We can focus on many management problems and should start with a symptom to reveal the management dilemma. For example: High worker turnover, explore the hiring, pay, scheduling and training etc. Complaints about the workers disproportionate effort or results not reflected in their pay, explore the pay, benefits, scheduling and productivity programs. Workers not reporting for the scheduled shifts, explore scheduling Low number of customers remember the advertising, explore the message, media and timing. Lec 6 Sampling Methods: Q.4

Describe the differences between a probability sample and a nonprobability sample. (6%)

A nonprobability sample is nonrandom selection, arbitrary and subjective. When we choose subjectively, we usually do with a pattern and scheme in mind, such as only the women and young people. Each member of the population does not known the chance of being include.

A probability sample is random selection and each population element is given a nonzero chance of selection, have equal chance to selection. This procedure is never haphazard/ no planning

Lec 6 Sampling methods: Q.5

Why would a research use a quota purposive sample? (6%)

Quota sampling is used to improve representativeness.
The logic behind the quota sampling is certain the relevant characteristics describe the dimensions of the population. If the sample has the same distribution on these characteristics, it is likely to be representative of the population regarding other variables on which we have no control. For example: If the student body of Metro U is 55% female and 45% male, the sampling quota would call for sampling students at 55 to 45 percent ratio. This would eliminate distortions due to a nonrepresentative gender ratio. Lec 6 Sampling Methods: Q.6

How would you conduct a reasonably reliable nonprobability study?

Use quota sample is appropriate, quota sample can use varies data information to calculate the proportion.

Logical selection of data on the sample are Gender of the concert attendee and musical type, since both of reflected in historical data. Use the historical data which can set the desired cell proportions (揾出每個不同群體的比例) base on the popularity of the music or number of concert attendees for the music type compared to attendees. Sine data are available by gender, we can set interview quotas for males and females, in proportion to the importance of each in the total attendee pool. Someone is likely to identify and important point that

1. Musical tastes change and should use caution in using...
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