G PROBLEM 3. Based on data from Consumer Reports, replacement times of TVs is on average 3.75 years with the standard deviation of 2.5 years. Answer the following questions. Question 1 (3 points). A random sample of 28 TVs is chosen. What is the probability that their average replacement time is less than 3.5 years

29.81% probability that their average replacement time is less than 3.5 years

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean and standard deviation , the zscore of a measure X is given by:

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean and standard deviation , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

What is the probability that their average replacement time is less than 3.5 years

This is the pvalue of Z when X = 3.5. So

By the Central Limit Theorem

has a pvalue of 0.2981

29.81% probability that their average replacement time is less than 3.5 years

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