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MORE BENEFITS OF EATING ORGANIC
Using data from a study, we find a significant difference in the proportion of fruit flies surviving after 13 days between those eating organic potatoes and those eating conventional (not organic) potatoes. This exercise asks you to conduct a hypothesis test using additional data from this study. In this case, we are testing
where and represent the proportion of fruit flies alive at the end of the given time frame of those eating organic food and those eating conventional food, respectively. We have . Show all remaining details in the test, using a significance level.
Effect of Organic Raisins After 20 Days
After 20 days, 275 of the 500 fruit flies eating organic raisins are still alive, while 170 of the 500 eating conventional raisins are still alive.
Proportions approximated from information given in the paper.
Part 1
Your answer is partially correct.
Give the test statistic and the -value.
Round your answers to three decimal places.
Test statistic

Ask by Ayala Greene. in the United States
Mar 28,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

Test statistic and -value .

Solution

Step 1. Compute the Sample Proportions
The sample proportions are:
Step 2. Compute the Pooled Proportion
Under , the pooled proportion is:
Step 3. Compute the Standard Error
The standard error for the difference in proportions is:
Substituting the values:
First, compute the product in the square root:
Then,
Finally,
Step 4. Compute the Test Statistic
The test statistic is computed by:
Rounding to three decimal places, we write:
Step 5. Compute the -Value
Since the alternative hypothesis is , this is a one-tailed test. The -value is:
A -score of has a probability that is effectively 0. Thus,
Final Answer
Test statistic and -value .

Answered by UpStudy AI and reviewed by a Professional Tutor

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Simplify this solution

Mind Expander

To compute the test statistic for the hypothesis test where we are evaluating the difference in proportions of fruit flies alive based on the type of raisins they consumed, we can use the formula for the z-test for proportions:
The pooled proportion is calculated as follows:
The standard error (SE) of the difference in proportions is:
Now we can calculate the test statistic :
Rounded to three decimal places, the test statistic is:
Test statistic
Next, we determine the -value. Since this is a one-tailed test, we can find the -value associated with . The -value is extremely small (much less than 0.001), indicating strong evidence against the null hypothesis.
Thus, the -value is approximately .
You can report:
Test statistic
-value

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