In: Statistics and Probability
A football coach claims that players can increase their strength
by taking a certain supplement. To test the
theory, the coach randomly selects 9 athletes and gives them a
strength test using a bench press. The results are
listed below. Thirty days later, after regular training using the
supplement, they are tested again. The new
results are listed below. Test the claim that the supplement is
effective in increasing the athletesʹ strength.
Use α= 0.05. Assume that the distribution is normally
distributed.
Use any method, however, follow the PHANTOMS acronym.
Athelete | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
Before | 215 | 240 | 188 | 212 | 275 | 260 | 225 | 200 | 185 |
After | 225 | 245 | 188 | 210 | 282 | 275 | 230 | 195 | 190 |
P - Parameter Statement
H - Hypotheses
A - Assumptions & Conditions
N - Name the Test and state the curve you're using
T - Test Statistic - Round your value to TWO decimals and state the command you used to find this value
O - Obtain the P-Value or Critical Value . State the command you are using to find these values
M - Make a Decision about the Null Hypothesis and explain why
S - State Your Conclusion About the Claim
Here, parameter =
= average difference in the strength of the athletes before and
after taking the supplement.
Now, for hypotheses, we have,
(null hypothesis) versus
(alternative hypothesis).
We assume that the underlying distribution is normally distributed.
The distribution of the strength values does not contain any
outlier. The strength values variable is continuous and the
observations are independent of one another.
We will carry out a paired samples t-test and we will be using a
bell-shaped curve.
Since the p-value is less than the 0.05 significance level, we
reject the null hypothesis.
We conclude that there is enough evidence to support the claim that
the supplement is effective in increasing the athletesʹ
strength.