1. Hypothesis Research Methods Sport and Exercise Science

2. Learning objectives

3. Grading Criteria Describe (P6) two contrasting quantitative data analysis techniques used in the sport and exercise sciences using an example of Microsoft Excel calculations & print screens: – T Test – Pearson’s Correlation Coefficient (D) For 2 selected research-based examples, justify (M4) the most appropriate research design and techniques (Null, Alternate & Directional Hypotheses) for quantitative data collection and data analysis such as: Pre & Post Test Design: Fitness test result before and after training programmes Comparative Design: Relationship between two fitness tests e.g. BMI and Resting heart rate

4. Recap

5. What is a hypothesis A hypothesis is a useful TESTABLE statement that proposes some explanation to an event A hypothesis may include a prediction However a hypothesis is NOT a theory

6. When would it be used? The key word is Testable. You would perform a test on two variables and how they might be related Hypothesis is usually based on some previous observation such as your HR increases when you exercise Are the two events connected? How are they connected? Task: Think of two variables that may be connected in Sport and Exercise Science and give 3 examples.

7. Hypothesis A formal hypothesis contains 2 variables one is Independent and the other Dependent The independent variable is the one you, the "scientist" control the dependent variable is the one that you observe and/or measure the results.

8. Task Question: What effect does exercise have on heart rate? What is your hypothesis? Which is the dependent and independent variable and why? Exercise would be the independent variable Heart rate would be dependent variable

9. Null or Alternate null hypothesis(H 0 ): typically that there is no effect Alternate hypothesis (H 1 ): typically that there is an effect, or that there is an effect of a particular sign Task Using heart rate and exercise write down individually, the null and alternate hypothesis.

10. Types of hypothesis: T TEST Null hypothesis – There will be no significant difference in heart rate following a 2km run at a pace of 6km/h. Alternative hypothesis – There will be a significant difference in heart rate following a 2km run at a pace of 6km/h. Directional hypothesis – There will be no significant increase in heart rate following a 2km run at a pace of 6km/h. ( can be increase or decrease )

11. Hypothesis: Correlations Null hypothesis – There will be no relationship between resting heart rate and BMI. Alternative hypothesis – There will be a relationship between resting heart rate and BMI. Directional hypothesis – There will be a positive relationship between resting heart rate and BMI. ( can be positive or negative )

12. Hypothesis work sheet