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# Descriptive and Inferential Statistics: Consulting Firms

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1. Differentiating Descriptive and Inferential Statistics

Resource: Iwamoto.Crews.Coe Virtual Organization portal

Access the ICC.zip file and select the Iwamoto.Crews.Coe consulting firm. Various companies have hired the firm to handle matters of organizational development, professional growth, and marketing. Go to the Iwamoto.Crews.Coe intranet site and review the following business problems:

o Organizational Development
Benedek Medical Technologies, Inc. - Knowledge Test Design
Haynes Medical Distribution - Employee Retention
Riordan Manufacturing - Leadership Traits

o Professional Growth
Loehr Equipment Co. - E-Learning Study

Review the information provided in the description of each business problem and identify which of the problems an Industrial / Organizational Psychologist would want to use descriptive statistics and which of the problems he/she would want to use inferential statistics.

Provide a paper that discusses the following:

o How descriptive statistics differ from inferential statistics and when it is appropriate to use each
o Key similarities and differences among the four business problems and how these similarities and differences influenced your decisions regarding the use of descriptive and inferential statistics

Submit the paper as a Microsoft Word attachment to your Individual forum.

##### Solution Summary

Descriptive and inferential statics for consulting firms are examined.

##### Solution Preview

o How descriptive statistics differ from inferential statistics and when it is appropriate to use each

Descriptive statistics are numbers that are used to consolidate a large amount of information. They provide simple summaries about the sample and the measures. Any average, for example, is a descriptive statistic. So, batting averages, average daily rainfall, or average daily temperature are good examples of descriptive statistics. On the other hand, inferential statistics are used when we want to draw conclusions. For example, when we want to determine if some treatment is better than another, or if there are differences in how two groups perform. A simple but good book definition is using samples to draw inferences about populations.

Descriptive statistics are typically distinguished from inferential statistics. With descriptive statistics you are simply describing what is or what the data shows. With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential ...

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