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A television show conducted an experiment to study what happens when buttered toast is dropped on the floor. When 54 buttered slices of toast were dropped, 29 of them landed with the buttered side up and 25 landed with the buttered side down. Use a 0.01 significance level to test the claim that toast will land with the buttered side down of the time Use the P -value method. Use the normal distribution as an approximation to the binomial distribution. After that, supposing the intent of the experiment was to assess the claim that toast will land with the buttered side down more than of the time, write a conclusion that addresses the intent of the experiment.
Let p denote the population proportion of all buttered toast that will land with the buttered side down when dropped. Identify the null and alternative hypotheses to test the claim that buttered toast will land with the buttered side down of the time.
(Type integers or decimals. Do not round)
Identify the test statistic.
(Round to two decimal places as needed.)
Identify the P-value
(Round to three decimal places as needed )
State the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.
the null hypothesis. There sufficient evidence to the claim that buttered toast will land with the buttered side down of the time.

Ask by Weber Knight. in the United States
Mar 21,2025

Upstudy AI Solution

Tutor-Verified Answer

Answer

Hypotheses:
Test Statistic:
P-value:
0.588
Conclusion:
Fail to reject the null hypothesis. There is insufficient evidence to support the claim that buttered toast will land with the buttered side down 50% of the time.
Regarding the Experiment’s Intent:
There is insufficient evidence to conclude that buttered toast will land with the buttered side down more than 50% of the time.

Solution

Step 1. Define the hypotheses.
Let denote the population proportion of buttered toast that will land with the buttered side down. To test the claim that toast lands with the buttered side down of the time, we set up the hypotheses as
Step 2. Compute the test statistic.
The sample size is and the number of toast landing buttered side down is . Therefore, the sample proportion is
The standard error under is computed using
The test statistic is then
Step 3. Find the P-value.
Since the alternative hypothesis is two-sided, the P-value is given by
Looking up the standard normal distribution, we find
Thus,
Step 4. Conclusion regarding the null hypothesis.
With a significance level of , we compare the P-value to :
Since the P-value is greater than the significance level, we do not have sufficient evidence to reject the null hypothesis.
Fill in the blanks:
Step 5. Addressing the experiment’s main intent (more than landing buttered side down).
If the intent of the experiment were to assess the claim that toast lands with the buttered side down more than of the time, the alternative hypothesis would be:
However, since our observed sample proportion is below and our test statistic is , there is no evidence in favor of . In fact, this outcome suggests that the buttered side down is occurring less than of the time.
Thus, addressing the experiment’s intent: There is insufficient evidence to conclude that buttered toast will land with the buttered side down more than of the time.

Answered by UpStudy AI and reviewed by a Professional Tutor

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The Deep Dive

The fascinating origins of the buttered toast superstition, suggesting that it always lands butter side down, can be traced back to various cultures that revered luck and chance. Some believe that it stems from a children’s nursery rhyme, while others think it reflects our innate tendency to focus on negative outcomes. The experiment showcases how statistics can validate or debunk these age-old beliefs with empirical evidence!
In real-world applications, the principles behind this experiment can be paramount for kitchen safety and food hygiene discussions. Understanding how food might interact with surfaces can lead to impactful choices in how we handle food preparation and serving. Think of those dinner parties where the fate of toast can spark lively debates - now you can bring statistical reasoning to the table! 🍞✨

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