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BaLLatris [955]
3 years ago
14

In 2000, 900 students played soccer. In 2001, 180 additional students played. How many students must play soccer in 2002 for the

percent of increase from 2001 to 2002 to be the same as it was from 2000 to 2001?
Mathematics
1 answer:
Cloud [144]3 years ago
7 0

Answer:

The answer to your question is:  1296

Step-by-step explanation:

Data

2000   --------- 900 students

2001   ---------- 180

2002  ----------   ?

                               900 students ---------------- 100%

                               180 students  ----------------   x

                                x = (180 x 100) / 900

                                x = 20%

                               1080 students -------------  100 %

                               x                       -------------     20%

                               x = (20 x 1080) / 100

                              x = 216

                             

Total number of students = 1080 + 216 = 1296

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P-value (t=2.58) = 0.0066.

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The null hypothesis is rejected.

There is enough evidence to support the claim that the population mean μ exceeds 2.4.

Step-by-step explanation:

This is a hypothesis test for the population mean.

The claim is that the population mean μ exceeds 2.4.

Then, the null and alternative hypothesis are:

H_0: \mu=2.4\\\\H_a:\mu> 2.4

The significance level is 0.05.

The sample has a size n=45.

The sample mean is M=2.5.

As the standard deviation of the population is not known, we estimate it with the sample standard deviation, that has a value of s=0.26.

The estimated standard error of the mean is computed using the formula:

s_M=\dfrac{s}{\sqrt{n}}=\dfrac{0.26}{\sqrt{45}}=0.0388

Then, we can calculate the t-statistic as:

t=\dfrac{M-\mu}{s/\sqrt{n}}=\dfrac{2.5-2.4}{0.0388}=\dfrac{0.1}{0.0388}=2.58

The degrees of freedom for this sample size are:

df=n-1=45-1=44

This test is a right-tailed test, with 44 degrees of freedom and t=2.58, so the P-value for this test is calculated as (using a t-table):

P-value=P(t>2.5801)=0.0066

As the P-value (0.0066) is smaller than the significance level (0.05), the effect is  significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the population mean μ exceeds 2.4.

7 0
3 years ago
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