# 10 Reflection

Now that you have reached the end of this course, complete the following reflection activity to check your progress against the key learning points.

## Activity 8: Reflection

Allow around 15 minutes for this activity.

This activity will help you to:

- Summarise your learning
- Reflect on the extent to which you have achieved key learning points
- Think about what you still need to do to fully achieve the key learning points

#### Part A:

In the table below, indicate whether you feel very confident (3), confident (2) or not so confident (1) about having achieved each of the key learning points for this course.

## Table 1

After working through this course, you should be able to: | At the end of this course, you feel:
--- | ---
Differentiate between null and alternative hypotheses for evaluations | (A text entry box would appear here, but your browser does not support it.)
Understand one-tailed or two-tailed tests in hypothesis testing | (A text entry box would appear here, but your browser does not support it.)
Understand when to use z-tests vs. t-tests | (A text entry box would appear here, but your browser does not support it.)
Perform z-tests for comparing means and proportions | (A text entry box would appear here, but your browser does not support it.)
Applying different t-tests based on sample characteristics | (A text entry box would appear here, but your browser does not support it.)
Evaluate critical values for hypothesis rejection | (A text entry box would appear here, but your browser does not support it.)

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#### Part B:

For each of the key learning points, write a few sentences in the spaces below summarising what you have learned, what you still feel you need to improve and how you might do that. This activity can identify areas for revision.

1. Differentiate between null and alternative hypotheses for evaluations.

(A text entry box would appear here, but your browser does not support it.)

2. Understand one-tailed or two-tailed tests in hypothesis testing.

(A text entry box would appear here, but your browser does not support it.)

3. Understand when to use z-tests vs. t-tests.

(A text entry box would appear here, but your browser does not support it.)

4. Perform z-tests for comparing means and proportions.

(A text entry box would appear here, but your browser does not support it.)

5. Differentiate between null and alternative hypotheses for evaluations.

(A text entry box would appear here, but your browser does not support it.)

6. Evaluate critical values for hypothesis rejection.

(A text entry box would appear here, but your browser does not support it.)

OpenLearn - Data analysis: hypothesis testing
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