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In a large class in statistics, the final examination grades have a mean of 67.4 and a standard deviation of 12. Assuming that the distribution of these grades is normal, the number of passes in a class of 180 is:_________ (if you get a number with decimals points, round up to the next whole number)

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Answer:

The number of passes in a class of 180 is 75.

Explanation:

The problem does not state, so I will suppose the passing grade is 70.

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

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


Z = (X - \mu)/(\sigma)

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.

In this question:


\mu = 67.4, \sigma = 12

Proportion of students who passed:

This is 1 subtracted by the pvalue of Z when X = 70. So


Z = (X - \mu)/(\sigma)


Z = (70 - 67.4)/(12)


Z = 0.22


Z = 0.22 has a pvalue of 0.5871.

1 - 0.5871 = 0.4129

Out of 180:

0.4129*180 = 74.32

Rounding up

The number of passes in a class of 180 is 75.

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