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A class in New Zealand found a report suggesting that teenagers' heights in New Zealand are approximately
normally distributed with a mean of 160 cm and a standard deviation of 15 cm. They thought the mean height
at their school was probably larger, so they took a random sample of n = 24 students. The mean height of
students in their sample was Ž = 166.5 cm.
To see how likely a sample like theirs was to occur by random chance alone, the class performed a simulation.
They simulated 80 samples of n = 24 heights from a normal population with a mean of 160 cm and standard
deviation of 15 cm. They recorded the mean of the heights in each sample. Here are the sample means from
their 80 samples:

Sagot :

Answer:

p-value≈0.025

Step-by-step explanation:

Khan Academy

From the stimulated results, the p-value of the test will be 0.025.

What is a p-value?

It should be noted that a p-value simply means a measure of the probability which an observed difference could have occurred by random choice.

In this case, the class took a random sample of n = 24 students and the mean height of students in their sample was Ž = 166.5 cm.

The p value of 0.025 indicates that the hypothesis fails to account for the facts that were presented.

Learn more about p-value on:

https://brainly.com/question/13786078

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