In: Statistics and Probability
NBA players ~ Michael wants to investigate whether the distribution of his classmates’ favorite NBA players of all time is different from the one reported by NBA. He randomly surveys his classmates. The table below contains the percentages reported by NBA and the observed counts from his random sample.
Player |
LeBron James |
Kobe Bryant |
Steph Curry |
Michael Jordan |
Others |
NBA Percentages |
20% |
30% |
15% |
19% |
16% |
Observed Counts |
23 |
28 |
10 |
15 |
11 |
Michael conducts the appropriate hypothesis test.
If, in fact, the percentages are as reported by NBA, then what is the p-value for this hypothesis test? Give your answer to 4 decimal places.
Based on the p-value that you calculated in the previous learning check question,which of the following describes the evidence to say that the distribution of Michael's classmates' favorite NBA players of all time is not the same as the one reported by NBA.
Question 7 options:
Little evidence |
|
Some evidence |
|
Strong evidence |
|
Very strong evidence |
|
Extremely strong evidence |
H0: The distribution of his classmates’ favorite NBA players of
all time is same as the one reported by NBA.
H1: The distribution of his classmates’ favorite NBA players of all
time is different from the one reported by NBA
n = 23 + 28 + 10 + 15 + 11 = 87
Expected count for Player if null hypothesis is true, Ei = n * pi
E1 = 87 * 0.2= 17.4
E2 = 87 * 0.3 = 26.1
E3 = 87 * 0.15= 13.05
E4 = 87 * 0.19= 16.53
E5 = 87 * 0.16 = 13.92
Chi-square test statistic
=
= 3.407592
Degree of freedom = k-1 = 5-1 = 4
P-value = P( > 3.407592) = 0.4921
Since P-value is greater than alpha = 0.05, we fail to reject the null hypothesis and the distribution of Michael's classmates' favorite NBA players of all time is not the same as the one reported by NBA has Little evidence