I dont understand pls help plsssssssss
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Answer:
The p-value of the test is 0 < 0.05(standard significance level), which means that this is enough evidence to state that more than 24.5% of all adults in the U.S. are obese
Step-by-step explanation:
Researchers believe that 24.5% of the adults in the United States are obese. Test if there is enough evidence to state that more than 24.5% of all adults in the U.S. are obese.
At the null hypothesis, we test if the proportion is of 24.5% or less, that is:
At the alternative hypothesis, we test if this proportion is greater than 24.5%, that is:
The test statistic is:
In which X is the sample mean, is the value tested at the null hypothesis,
is the standard deviation and n is the size of the sample.
0.245 is tested at the null hypothesis:
This means that
Survey 86,664 randomly sampled U.S. adults. Of the adults surveyed, 23,053 said that they were obese.
This means that
Value of the test statistic:
P-value of the test and decision:
The p-value of the test is the probability of finding a sample proportion of 0.266 or higher, which is 1 subtracted by the p-value of z = 14.37.
The p-value of z = 14.37 is 1.
1 - 1 = 0
The p-value of the test is 0 < 0.05(standard significance level), which means that this is enough evidence to state that more than 24.5% of all adults in the U.S. are obese
<h2>Steps</h2>
So here are the rules with change by percentage (m = percentage in decimal form, n = original, and r = new):
- If <em>increase</em>: (1 + m)n = r
- If <em>decrease</em>: (1 - m)n = r
Since this is a price <em>reduction</em>, we will be following the second rule. In this case:
<u>In short, the reduced price of the computer is $573.</u>