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Tju [1.3M]
4 years ago
15

A university claims that 80% of its basketball players get degrees. An investigation examines the fate of all 20 players who ent

ered the program over a period of several years that ended six years ago. Of these players, 11 graduated and the remaining 9 are no longer in school. If the university's claim is true, the number of players among the 20 who graduated should have the binomial distribution with n = 20 and p = 0.8. Use the binomial probability formula to answer the question, What is the probability that not all of the 20 graduate?
Mathematics
1 answer:
diamong [38]4 years ago
4 0

Answer:

The probability of not all players graduate in approximately 0.988.

Step-by-step explanation:

Let's define,

X = "Number of players that graduated"

We know that X \sim Bin(20;0.8) and the probability density function for a binomial random variable is:

P(X = k) = {20 \choose k}(0.8)^k(0.2)^{20-k}, with k \leq 20

We want to know the probability that not all of the 20 graduate, in other words we want to know the probability of P(X < 20).

P(X < 20) = 1 - P(X = 20) =\\= 1 - {20 \choose 20}(0.8)^{20}(0.2)^0 =\\= 1 - 0.8^{20} \approx 0.988

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Bad White [126]

Answer:

z=\frac{0.480 -0.42}{\sqrt{\frac{0.42(1-0.42)}{1045}}}=3.930  

The p value for this case would be given by:

p_v =P(z>3.930)=0.0000443  

For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis so then we can conclude that the true proportion is significantly higher than 0.42

Step-by-step explanation:

Information given

n=1045 represent the random sample selected

X=502 represent the college graduates with a mentor

\hat p=\frac{502}{1045}=0.480 estimated proportion of college graduates with a mentor

p_o=0.42 is the value that we want to test

z would represent the statistic

p_v represent the p value

Hypothesis to test

We want to test if the true proportion is higher than 0.42, the system of hypothesis are.:  

Null hypothesis:p \leq 0.42  

Alternative hypothesis:p > 0.42  

The statistic is given by:

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

Replacing the info we got:

z=\frac{0.480 -0.42}{\sqrt{\frac{0.42(1-0.42)}{1045}}}=3.930  

The p value for this case would be given by:

p_v =P(z>3.930)=0.0000443  

For this case the p value is lower than the significance level so then we have enough evidence to reject the null hypothesis so then we can conclude that the true proportion is significantly higher than 0.42

7 0
3 years ago
The price that a company charged for a basketball hoop is given by the equation 50-5x^2 where x is the number of hoops that are
Debora [2.8K]
Given:
Profit : 15,000,000
Cost: 30 per basketball hoop
production: 1 million hoops
price: 50 - 5x²

Profit = Sales - Cost
15,000,000 = sales - 30(1,000,000)
15,000,000 + 30,000,000 = sales
45,000,000 = sales

45,000,000 / 1,000,000 = 45 sales price.




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3 years ago
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