Is there a difference in 20 m sprint times of players with experience of less than 2 years, 2 to 4 years and 5 to 8 years when carrying a ball?
2. State the null and alternative hypotheses for these data.
H0A There will be no significant difference between the groups.
H1A There will be a significant difference in at least one or more of the groups.
H0B There will be no significant difference between the 20 m sprint times of the players who have experience of less than 2 years and 2 to 4 years’ experience.
H1B There will be a significant difference between the sprint times of the players with less than 2 years’ experience and 2 to 4 years’ experience.
H0C There will be no significant difference between the sprint times of the players with less than 2 years’ experience and 5 to 8 years’ experience.
H1C There will be a significant difference between the sprint times of the players with less than 2 years’ experience and 5to 8 years experience.
H0D There will be no significant difference between the sprint times of the players with 2 to 4 years’ experience and 5 to 8 years’ experience.
H1D There will be a significant difference between the sprint times of the players with 2 to 4 years’ experience and 5to 8 years’ experience.
3. Are these data parametric or nonparametric? State your methods and results.
The test for normality (see table 1), results show for less than 2 years’ experience (Kolmogorov-Smirvov P=.017 and Shapiro-Wilks P=.001) and 5 to 8 years’ experience (Kolmogorov-Smirvov P=.001 and Shapiro-Wilks P=.007 there is abnormal distribution however 2 to 4 years’ experience (Kolmogorov-Smirvov P=.200 and Shapiro- Wilks P=.995 suggests a normal distribution, it concludes that these data should be treated as non-parametric as they require testing with non-specific population details.
Table 1. Test for normality results.
Experience
Kolmogorov-Smirnov
Shapiro-Wilks
Less than 2 years
P=.017
P=.001
2 to 4 years
P=.200
P=.995
5 to 8 years
P=.001
P=.007
4. State which data analysis techniques have