Hypothesis testing for business research
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Can anyone help with this one? I'm kind of lost.
You have asked to research the high absenteeism rate in your company. One required analysis is to be by gender. Assume you have been asked to do the study via a survey.
§ What secondary research might you do before doing the survey?
§ Other than gender what other demographic information might you want?
§ What question would you ask on the survey to get ratio level data about absenteeism by the respondent
§ Describe at least three histograms/bar charts/pie charts.
§ Describe at least one table you would use to summarize data.
§ Describe at least one confidence interval you might compute
§ State at least two hypotheses you might use, specifically stating the null and alternate hypotheses and the type errors that might occur
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Solution Summary
This posting examines many aspects of business research. It explains hypothesis testing (alternative and null hypothesis), secondary research, touches on demographics, describes ratio level data and dives into type 1 and type 2 errors. It also talks about how to summarize your research in terms of graphs and tables.
All of this will be related to the topic of absenteeism in the workforce as a real life example on how to apply the concepts mentioned above.
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Secondary research: This is research that you can do as a stepping stone to your own research. What you do is read up on previously collected data and studies. From here, you can get a better understanding of your topic. For example, you can read past research which might state that males have higher absenteeism rate then females. Given this information, you can then use it in your own investigation.
Demographics: These are characteristics that you can use to distinguish your sample. A good demographics for this might be age - perhaps younger individuals might have a higher rate of absenteeism then older workers. Other demographics might be income level, education level, geographic locations, race, religion...
ratio level date: These are ordered, constant scale, natural zero. One question you could ask straight out would be: how many days of work have you missed in the past month. This would give you a ratio level data.
charts:
histogram: this is a chart that tabulates frequencies. In your study, you could divide your sample by men and by women. and then chart the number of days that they were absent. I have attached an example of a histogram.
bar chart: A bar chart is a chart with rectangular bars with lengths ...
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