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Calculate at least 2 measures of central tendency and at least 2 measures of variation for your Continuous Variable sample data. Explain the results and
- Calculate at least 2 measures of central tendency and at least 2 measures of variation for
- your Continuous Variable sample data. Explain the results and meaning of these measures in your report. Include a summary of the data in your report using a graph or table. Use Excel for this task.
- Describe what is a Discrete Probability Distribution. Identify/develop a Discrete Random Variable in your dataset. Use an appropriate Discrete Probability Distribution you have learnt in class to illustrate how you could apply these technique to solve your business problems.
- Inferential Statistics
- a.You may want to include some theoretical background to the Normal (and Sampling)
- Distribution. Topics could include:
- What is the Normal Distribution?
- Why is the Normal Distribution used in Sampling Distributions?
- What is the basis for Inferential Statistics?
- b.You should include:
- An explanation of your continuous random variable and sampling work
- An explanation of what a Confidence Interval / Hypothesis Test is;
- An interpretation of your Confidence Interval/ Hypothesis Test results;
- c. Either do 3c.i OR 3c.ii
- i. Calculate and interpret a confidence interval estimate of an appropriate
- Continuous Random Variable from your dataset. Choose 95% confidence level
- for your interval. (OR)
- ii. Set up and conduct a hypothesis test relevant to the continuous random variable.
- Choose 5% significance level for your test. Identify what is your Type I and II
- errors.
- By using the Data Analysis function in Excel, show how Regression techniques can be
- used to extrapolate or interpolate values for your dependent variable. Include the Regression Analysis Excel output and state your predictive model. Test one of the four assumptions.
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