Overview
Qualification Grading Type
Ungraded
Unit Learning Outcomes
1.
Know about normal distribution.
Assessment Criteria
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1.1.
Use standard deviations to obtain percentages of a normal distribution.
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1.2.
Explain what is meant by a skewed distribution.
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1.3.
Calculate the z score of a set of data.
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1.4.
Use published tables for the normal distribution to calculate probabilities.
2.
Understand the nature of hypotheses.
Assessment Criteria
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2.1.
Classify tests as one-tailed or two-tailed
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2.2.
Formulate the experimental/alternative hypothesis and the corresponding null hypothesis.
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2.3.
Explain which hypothesis is being tested.
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2.4.
Distinguish between type 1 and type 2 errors.
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2.5.
Explain what is meant by the significance level.
3.
Know about parametric and non-parametric tests.
Assessment Criteria
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3.1.
Explain the conditions for using a parametric test.
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3.2.
Use the t-test correctly for both related and unrelated samples by:
a) calculating the statistic
b) locating the statistic in the tables
c) drawing the correct conclusions.
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3.3.
Use non-parametric tests correctly by:
a) calculating the statistic
b) locating the statistic in the tables and
c) drawing the correct conclusion.
4.
Be able to conduct tests for goodness of fit.
Assessment Criteria
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4.1.
Correctly carry out x to the power of 2 tests by:
a) drawing up a contingency table
b) calculating degrees of freedom
c) calculating x to the power of 2
d) using the tables correctly
e) drawing the correct conclusion.