The heights of a certain population of corn plants follow a normal distribution with mean 145 cm and standard deviation 22 cm.
1. Suppose we were to choose at random from the population samples of 16 plants each. In what percentage of the samples would the sample mean height be between 135 and 155 cm?

In 93.12% of the samples the sample mean height would be between 135 and 155 cm

Step-by-step explanation:

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

Normal probability distribution:

Problems of normally distributed samples can be 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 random variable X, with mean and standard deviation , the sample means with size n can be approximated to a normal distribution with mean and standard deviation

In this problem, we have that:

In what percentage of the samples would the sample mean height be between 135 and 155 cm?

This is the pvalue of Z when X = 155 subtracted by the pvalue of Z when X = 135. So

X = 155

By the Central Limit Theorem

has a pvalue of 0.9656

X = 135

has a pvalue of 0.0344

0.9656 - 0.0344 = 0.9312

In 93.12% of the samples the sample mean height would be between 135 and 155 cm

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step-by-step explanation: