Confidence Intervals for Population Means (College Board AP® Statistics): Study Guide
One-sample t-interval for a mean
What is a confidence interval for a population mean?
- A confidence interval for a population mean is - a symmetric range of values centered about the sample mean 
- designed to capture the actual value of the population mean 
 
- Different samples generate different confidence intervals - e.g. a sample mean of 5 may have a confidence interval of (4.5, 5.5) 
 
How do I calculate a confidence interval for a population mean?
- The confidence interval for a population mean is given by 
- Where: - The sample mean is calculated from the sample or is given to you 
- The critical value is the relevant t-value - The critical value depends on the confidence level C% 
 
- The standard error is an estimate of the population standard deviation from the data, 
 
Examiner Tips and Tricks
The general formula for confidence intervals (including a table of standard errors) is given in the exam: .
You will need to apply it appropriately using the sample mean and the standard error of the sample mean.
What are conditions for a confidence interval for a population mean?
- When calculating a confidence interval, you must show that: - items in the sample (or experiment) must satisfy the independence condition - by verifying that data is collected by random sampling 
- or random assignment (in an experiment) 
- and, if sampling without replacement, showing that the sample size is less than 10% of the population size 
 
- the population is approximately normally distributed - The distribution needs to be approximately symmetric 
- There should be no outliers 
 
 
What is the margin of error?
- The margin of error is the half-width of the confidence interval 
- The confidence interval is 
- The total width of a confidence interval is 
- You may be given an interval and asked to calculate its margin of error - or another value, such as - This involves forming and solving an equation 
 
 
Examiner Tips and Tricks
You need to know that the width of a confidence interval increases as the confidence level increases, whereas it decreases as the sample size increases!
How do I interpret a confidence interval for a population mean?
- You must conclude calculations of a confidence interval by referring to the context - Start by saying 'we can be C% confident that the interval from [lower limit] to [upper limit]...' - using the limits from the confidence interval 
 
- then end with it capturing the population mean in context - e.g. 'captures the actual population mean of the time taken by students in the school to run 100 m' 
 
 
How do I use confidence intervals to justify a claim about a population mean?
- If a population mean is claimed to be a specific value - check if that value lies in your confidence interval 
 
- If it does, the sample data provides sufficient evidence that the population mean is that value - If it does not, the sample data does not provide sufficient evidence that the population mean is that value 
 
Worked Example
A factory produces pre-packaged noodles, where each packet is expected to contain 90 g of dried noodles. It is assumed that the distribution of the weights of dried noodles is approximately normal. A simple random sample of 24 packets, from a recent batch of 1000 packets, were selected to see if they contained the correct amount of dried noodles. The sample had a mean weight of 87 g and a standard deviation of 6 g. Based on this sample, what is a 95% confidence interval for the mean weight of dried noodles per packet?
State the type of interval being used and verify the conditions for the interval
The correct inference procedure is a one-sample t-interval with a 95% confidence level
- The independence condition is satisfied, as - the sample of 24 packets was selected at random 
- and the sample size, 24, is less than 10% of the population, 1000 (24 < 100) 
 
- The distribution of weights is normal 
- The sample size is small ( - , which is less than 30) and the population standard deviation is unknown, so the t-distribution can be used 
Define the population parameter, , this is what we are trying to find
Let  be the mean weight of noodles per packet that a factory produces
List the number of data items in the sample, , the sample mean, 
, and the sample standard deviation, 
State the degrees of freedom (dof)
dof = 24 - 1 = 23
Using the t-table, find the t-value (critical value) for the sample mean, using dof = 23 and a confidence level of 95%
Remember that a confidence level of 95% is 5% in both tails combined, so use 2.5% for a single tail in the table (the row 'Confidence level C' at the bottom of the t-tables helps)
t-value = 2.069
Using the formula from the formula sheet,  , calculate the confidence interval
State the confidence interval
Explain the confidence interval in the context of the question
We can be 95% confident that the interval from 84.41 g to 89.59 g captures the actual value of the population mean weight of dried noodles per packet
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