Sampling distribution of the mean
Understand the sample mean and sample proportion as random variables; apply the normal approximation to the binomial distribution; use the sampling distribution of with mean and standard error .
Worked examples
Standard error of the sample mean
Straightforward
Problem
Random samples of size are taken from a population with and . Find the standard error of and describe the distribution of .
1
Compute the standard error using .
2
Since is large, apply the Central Limit Theorem to describe the distribution of .
Answer
The standard error is , and is approximately normally distributed with mean 60 and standard deviation 1.5.
Normal approximation to the binomial
Moderate
Problem
. Using the normal approximation, find .
1
Check the normal approximation is valid ( and ), then find the mean and standard deviation.
and , so the approximation is valid. Mean: . Standard deviation:
2
Standardise to a -score.
3
Use the standard normal table to find the probability.
From a standard normal table, .
Answer
Using the empirical rule
Challenging
Problem
is approximated by (SD = 10). Use the empirical rule to find .
1
Express the interval in terms of standard deviations from the mean.
The interval .
2
Apply the empirical (68–95–99.7) rule: approximately 95% of values lie within two standard deviations of the mean.
Answer
. (Empirical rule: within 1 SD ≈ 68%, within 2 SD ≈ 95%, within 3 SD ≈ 99.7%.)
Practise
Q1·Straightforward
. When the binomial distribution is approximated by a normal distribution, what is the mean of the approximating normal distribution?
Explanation
For , the normal approximation is .
Q2·Straightforward
. When the binomial distribution is approximated by a normal distribution, what is the standard deviation of the approximating normal distribution?
Explanation
Q3·Straightforward
A random sample of size is taken from a population with standard deviation . Find the standard error of the sample mean .
Explanation
Q4·Straightforward
is approximated by (mean 50, variance 25). Find the -score corresponding to .
Explanation
Q5·Moderate
A random sample of observations is drawn from a population with mean and standard deviation . Find the standard error of the sample mean .
Explanation
Q6·Moderate
is approximated by (mean 200, standard deviation 10). Using the empirical rule (68–95–99.7 rule), find .
Explanation
The range is exactly .
By the empirical rule, approximately 68% of values fall within one standard deviation of the mean.
By the empirical rule, approximately 68% of values fall within one standard deviation of the mean.
Q7·Moderate
A random sample of size is taken from a population with mean and standard deviation . The sample mean is approximately (mean 80, standard deviation 2). Using the empirical rule, find .
Explanation
The standard error is .
, so 82 is exactly one standard deviation above the mean.
By the empirical rule:
- 68% of values lie within 1 standard deviation of the mean.
- 32% lie outside (16% above, 16% below).
, so 82 is exactly one standard deviation above the mean.
By the empirical rule:
- 68% of values lie within 1 standard deviation of the mean.
- 32% lie outside (16% above, 16% below).
Q8·Moderate
The true proportion of voters who support a candidate is . A random sample of voters is surveyed. The standard error of the sample proportion is . Find to 4 decimal places.
Explanation
Q9·Moderate
is approximated by (mean 98, standard deviation 7). Using the empirical rule, find .
Explanation
, so is one standard deviation above the mean.
By the empirical rule, 68% of values lie within one SD of the mean — so 34% lie between and .
Q10·Challenging
Samples of size are repeatedly taken from a population with mean and standard deviation . The sample mean is approximately normal with standard error . Using the empirical rule, find .
Explanation
The condition means lies more than from the mean — i.e., more than 2 standard errors away.
By the empirical rule, 95% of values lie within 2 standard deviations of the mean, so 5% lie outside.
Q11·Challenging
For , the normal approximation is valid when both and . Find the minimum value of for which both conditions are satisfied.
Explanation
The two conditions are:
- : (since must be a whole number).
- : .
Both conditions must hold. The binding constraint is .
Minimum .
- : (since must be a whole number).
- : .
Both conditions must hold. The binding constraint is .
Minimum .
Q12·Challenging
In a large population, the true proportion who prefer a new product is . A random sample of people is surveyed, and the sample proportion has standard error . Using the empirical rule, find .
Explanation
The interval
(since ).
By the empirical rule, 95% of values from a normal distribution lie within 2 standard deviations of the mean.
(since ).
By the empirical rule, 95% of values from a normal distribution lie within 2 standard deviations of the mean.
Open Math
Sampling distribution of the mean
Statistical Analysis · ME-12-06
Name:
Date:
Q1Straightforward
. When the binomial distribution is approximated by a normal distribution, what is the mean of the approximating normal distribution?
Q2Straightforward
. When the binomial distribution is approximated by a normal distribution, what is the standard deviation of the approximating normal distribution?
Q3Straightforward
A random sample of size is taken from a population with standard deviation . Find the standard error of the sample mean .
Q4Straightforward
is approximated by (mean 50, variance 25). Find the -score corresponding to .
Q5Moderate
A random sample of observations is drawn from a population with mean and standard deviation . Find the standard error of the sample mean .
Q6Moderate
is approximated by (mean 200, standard deviation 10). Using the empirical rule (68–95–99.7 rule), find .
Q7Moderate
A random sample of size is taken from a population with mean and standard deviation . The sample mean is approximately (mean 80, standard deviation 2). Using the empirical rule, find .
Q8Moderate
The true proportion of voters who support a candidate is . A random sample of voters is surveyed. The standard error of the sample proportion is . Find to 4 decimal places.
Q9Moderate
is approximated by (mean 98, standard deviation 7). Using the empirical rule, find .
Q10Challenging
Samples of size are repeatedly taken from a population with mean and standard deviation . The sample mean is approximately normal with standard error . Using the empirical rule, find .
Q11Challenging
For , the normal approximation is valid when both and . Find the minimum value of for which both conditions are satisfied.
Q12Challenging
In a large population, the true proportion who prefer a new product is . A random sample of people is surveyed, and the sample proportion has standard error . Using the empirical rule, find .
Worked solutions and answers at openmath.au/year-12/extension-1/the-binomial-distribution/sampling-distribution-of-the-mean