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n200080 [17]
3 years ago
3

A magazine article reported that college students spend an average of $100 on a first date. A university sociologist believed th

at number was too high for the students at the university. The sociologist surveyed 32 randomly selected students from the university and obtained a sample mean of $92.23 for the most recent first dates. A one-sample t-test resulted in a P-value of 0.026. Which of the following is a correct interpretation of the P-value?
a) The probability is 0.026 that the mean amount of money students from the university spend on a first date is less than $100.
b) The probability is 0.026 that the mean amount of money students from the university spend on a first date is less than $92.23.
c) The probability is 0.026 that the mean amount of money students from the university spend on a first date is more than $92.23.
d) If the mean amount of money that students from the university spend on a first date is $100, the probability is 0.026 that a randomly selected group of 32 students from the university would spend a mean of $92.23 or less on their most recent first dates.
e) If the mean amount of money that students from the university spend on a first date is less than $100, the probability is 0.026 that a randomly selected group of 32 students from the university would spend a mean of $92.23 or less on their most recent first dates.
Mathematics
1 answer:
Flauer [41]3 years ago
3 0

Answer:

The correct option is (d).

Step-by-step explanation:

The <em>p</em>-value is well defined as the probability, [under the null hypothesis (<em>H₀</em>)], of attaining a result equivalent to or more extreme than what was the truly observed value of the test statistic.

We reject a hypothesis if the <em>p</em>-value of a statistic is lower than the level of significance <em>α</em>.

A small <em>p</em>-value (typically ≤ 0.05) specifies solid proof against the null hypothesis (<em>H₀</em>), so you discard <em>H₀</em>.

A large <em>p</em>-value (> 0.05) specifies fragile proof against the <em>H₀</em>, so you fail to discard <em>H₀</em>.

The hypothesis in this case can be defined as follows:

<em>H₀</em>: The mean amount of money students from the university spend on a first date is $100, i.e. <em>μ</em> = 100.

<em>Hₐ</em>: The mean amount of money students from the university spend on a first date is less than $100, i.e. <em>μ</em> < 100.

The sample selected is of size, <em>n</em> = 32.

The sample mean amount spent is, $92.23.

The <em>p</em>-value of the test is, <em>p</em>-value = 0.026.

The <em>p</em>-value in this case can be defined as the probability that the sample mean amount spent on first date by the 32 students is less than or equal to $92.23, given that the actual mean amount spent on first date is $100.

Thus, the correct option is (d).

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