Practice Problems 11

Problem 1: Extrasensory Perception (ESP)

In an ESP test, one person writes down one of the letters A, B, C, D, or E and tries to telepathically communicate the choice to a partner. The partner then tries to guess what letter was selected.

(a). Repeat this process several times and then switch roles with your partner. Do this up to 10 times in total for each person. How often did you guess correctly?”
Click for answer Answer: Answers will vary!


(b). If there is no ESP and people are just randomly guessing from among the five choices, what proportion of guesses would we expect to be correct? If no ESP, we expect p = \(\ldots\)
Click for answer Answer: \(p = 0.2\) (since there are five choices and they are randomly guessing)


(c). Which sample proportion correct would provide the greatest evidence that people have ESP: (If we assume the sample size is the same in every case.)

Click for answer Answer: \(\hat{p} = 3/4\) since this means more correct.


(d). Write down the null and alternative hypotheses for testing whether people have ESP:
Click for answer Answer: \[H_0: p = 0.2\] \[H_a: p > 0.2\] where \(p\) is the proportion correct for all people’s guesses. Since we are looking for evidence that the proportion is significantly above 0.2 (random guesses), the alternate hypothesis is larger than.


Problem 2: Sleep vs Caffeine

In an experiment, students were given words to memorize, then were randomly assigned to either take a 90 minute nap or take a caffeine pill. A couple hours later, they were tested on their recall ability. We wish to test to see if the sample provides evidence that there is a difference in mean number of words people can recall depending on whether they take a nap or have some caffeine.

(a). What is the explanatory variable? Is it categorical or quantitative?
Click for answer Answer: Explanatory = nap or caffeine (categorical)


(b). What is the response variable? Is it categorical or quantitative?
Click for answer Answer: Response = number of words recalled (quantitative)


(c). What is the parameter of interest for this experiment? Use correct notation.
Click for answer Answer: Quantitative = mean responses, where \(\mu_1\) and \(\mu_2\) are the mean words recalled in the two different conditions


(d). What are the null and alternative hypotheses for this test? Use correct notation.
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Answer:

\[H_0: \mu_1 = \mu_2\] \[H_a: \mu_1 \neq \mu_2\]

The alternate hypothesis is not equals to since we are looking for evidence that the means are different (We do not know which one is larger!)


Problem 3: Hand Dominance and Gender

Researchers are curious to find out if there is a significant difference in the proportion of left-handed individuals between males and females. They conduct a survey among a sample population to determine hand dominance for each gender.

Given the collected data, answer the following questions.

Male Female Total
Right-Hand 120 150 270
Left-Hand 30 20 50
Total 150 170 320

(a). What proportion of males are left-handed?

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Answer:

Proportion of males who are left-handed = Number of left-handed males / Total males = 30/150 = 0.20 or 20%.


(b). What proportion of females are right-handed?

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Answer:

Proportion of females who are right-handed = Number of right-handed females / Total females = 150/170 = 0.88 or 88%.


(c). Among all left-handed person in the survey, what proportion of them are male?

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Answer:

Proportion that a randomly selected left-handed person is male = Number of left-handed males / Total left-handed individuals = 30/50 = 0.60 or 60%.


(d). Formulate the null and alternative hypotheses for testing whether the proportion of left-handed individuals for males and females are different.

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Answer:

Null Hypothesis \(\left(H_0\right)\) : The proportion of left-handed individuals is the same for both males and females.

Alternative Hypothesis \(\left(H_a\right)\) : The proportion of left-handed individuals is different for males and females.