Overview
Qualification Grading Type
Graded
Unit Learning Outcomes
1.
Know about normal distribution.
Assessment Criteria
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1.1.
Obtain percentages of a normal distribution using standard deviations.
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1.2.
Explain what is meant by a skewed distribution.
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1.3.
Calculate the z score.
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1.4.
Use published tables for the normal distribution to calculate probabilities.
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1.5.
Solve problems involving the sampling distribution of a statistic.
2.
Know about confidence interval estimation.
Assessment Criteria
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2.1.
Explain the concept of a confidence interval.
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2.2.
Obtain confidence intervals for a Normal mean with variance known.
3.
Know about the nature of hypotheses.
Assessment Criteria
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3.1.
Classify tests as one-tailed or two-tailed.
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3.2.
Formulate the experimental/alternative hypothesis and the corresponding null hypothesis.
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3.3.
Explain which hypothesis is being tested.
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3.4.
Distinguish between type 1 and type 2 error.
4.
Be able to solve problems using linear and multiple regression.
Assessment Criteria
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4.1.
Solve problems involving linear regression.
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4.2.
Solve problems involving multiple regression.
5.
Be able to use non-parametric tests.
Assessment Criteria
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5.1.
Use the Wilcoxon and Mann Whitney tests correctly by:
- a) calculating the statistic
- b) locating the statistic in the tables and
- c) drawing the correct conclusion.