Answer:
The correct answer is (d).
Step-by-step explanation:
The p-value provides the probability, given the null hypothesis (H₀), of obtaining a result at least as extreme as the observed test statistic.
A hypothesis is rejected if the p-value is less than the significance level α.
A low p-value (often ≤ 0.05) presents strong evidence against the null hypothesis (H₀), leading to its rejection.
A high p-value (> 0.05) indicates weak evidence against H₀, resulting in failure to reject H₀.
The hypothesis in this scenario is formulated as follows:
H₀: The average expenditure by university students on a first date is $100, or μ = 100.
Hₐ: The average expenditure by university students on a first date is under $100, or μ < 100.
The sample consists of n = 32.
The mean expenditure recorded is $92.23.
The calculated p-value stands at p-value = 0.026.
This p-value signifies the probability that the mean expenditure on a first date by the sampled 32 students is less than or equal to $92.23, assuming the true mean expenditure is $100.
<pthus the="" correct="" answer="" is="">(d).
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