67.3k views
0 votes
Suppose the mean of a normally distributed population is 300, and 200 simple random samples are drawn from the population. At

a 68% confidence level, (one standard deviation from the mean), about how many of the samples' confidence intervals would you
expect to contain the population mean?
O 64
O 96

1 Answer

6 votes

Answer:

the required number of samples to contain the population mean = 136

Explanation:

From the Empirical rule, If a data is normally distributed, then about 68% of the population lies within one standard deviation from mean.

Now, if we suppose that the mean of a normally distributed population is 300, and 200 simple random samples are drawn from the population. i.e. μ = 300

And;

Number of simple random samples: n = 200

Thus, by implication, we would expect about 68% of 200 samples confidence intervals to contain the population mean .

Hence,

Required number of samples = 68% of 200

This gives ;

0.68 x 200 = 136

Thus , the required number of samples = 136

User Josh Yeager
by
8.4k points

No related questions found

Welcome to QAmmunity.org, where you can ask questions and receive answers from other members of our community.

9.4m questions

12.2m answers

Categories