Imagine that Alpha Shoe Company wants to do a second study on the vertical lift basketball players can gain from their shoes. Recall that they believe that how high a player can jump is affected by the type of shoe that player wears. They identified 25 professional basketball players and randomly assigned each of them to wear one of the five types of shoe, then measured how high each player jumped. Each player's jumping height is given below in inches:


Pluto
Omega II
Beta Super
Delta
Gamma
29.1
29.2
28.5
28.4
27.7
29.8
29.1
28.9
28.0
27.9
30.0
28.8
29.2
28.8
28.0
29.0
28.7
28.3
29.0
28.2
31.1
28.8
30.0
28.9
28.0

Assignment:


To complete this Assignment, submit by Day 7 answers to the following. Use SPSS to compare the means of the scores of these five shoes with a one-way ANOVA. Save and submit both your SPSS data file and your output. 


Before comparing the scores with an ANOVA, state your null and alternative hypotheses in words (not formulas).
Means is that one
Identify the independent and dependent variables.
Name the levels in your identified factor.nomial scale
State the within-group degrees of freedom and explain how you calculate it.
State the between-group degrees of freedom and explain how you calculate it.
Identify the obtained F value.
Identify the p value.
Explain whether the F test is significant. Explain how you know and what it tells you.
Explain what you can conclude about the effect of shoe choice on vertical lift (jumping height).
Should you conduct a post hoc test? Why or why not? If yes, conduct a Tukey HSD post hoc analysis. Explain what the results tell you about type of shoe choice and vertical lift.
Submit three documents for grading: your text (Word) document with your answers and explanations to the application questions, your SPSS Data file, and your SPSS Output file.