This Java applet lets you explore various aspects of sampling distributions. When the applet begins, a histogram of a normal distribution is displayed at the topic of the screen. The distribution portrayed at the top of the screen is the population from which samples are taken. The mean of the distribution is indicated by a small blue line and the median is indicated by a small purple line. Since the mean and median are the same, the two lines overlap. The red line extends from the mean one standard deviation in each direction. Note the correspondence between the colors used on the histogram and the statistics displayed to the left of the histogram. The second histogram displays the sample data. This histogram is initially blank. The third and fourth histograms show the distribution of statistics computed from the sample data. The number of samples (replications) that the third and fourth histograms are based on is indicated by the label "Reps=."
Software/Applets used on this page
an applet from the
Rice Virtual Lab in
Rice Virtual Lab in
A statistical diagram for continuous data similar to a bar chart but where the area of each bar is proportional to the frequency.
the sum of all the members of the list divided by the number of items in the list.
the middle value of a set of data that has been arranged in order of magnitude; half the data values are above it and half are below.
A key distribution in statistics which is used to model many naturally occurring phenomena, such as heights and weights; its distribution is bell-shaped.
A collection, group or set of individuals or objects.
A collection of sampling units drawn from a sampling frame.
The square root of the variance; a measure of dispersion.
This question appears in the following syllabi:
|AQA A-Level (UK - Pre-2017)||S1||Estimation||Central Limit Theorem||-|
|AQA A2 Further Maths 2017||Statistics||Central Limit Theorem - Extra||Central Limit Theorem||-|
|AQA AS/A2 Further Maths 2017||Statistics||Central Limit Theorem - Extra||Central Limit Theorem||-|
|CCEA A-Level (NI)||S2||Estimation||Central Limit Theorem||-|
|CIE A-Level (UK)||S2||Estimation||Central Limit Theorem||-|
|Edexcel A-Level (UK - Pre-2017)||S3||Estimation||Central Limit Theorem||-|
|Edexcel A2 Further Maths 2017||Further Statistics 1||Central Limit Theorem||Central Limit Theorem||-|
|Edexcel AS/A2 Further Maths 2017||Further Statistics 1||Central Limit Theorem||Central Limit Theorem||-|
|I.B. Higher Level||7||Estimation||Central Limit Theorem||-|
|Methods (UK)||M15||Estimation||Central Limit Theorem||-|
|OCR A-Level (UK - Pre-2017)||S2||Estimation||Central Limit Theorem||-|
|OCR A2 Further Maths 2017||Statistics||Hypothesis Tests and Confidence Intervals||Central Limit Theorem||-|
|OCR MEI A2 Further Maths 2017||Statistics B||Sample Mean and Central Limit Theorem||Central Limit Theorem||-|
|OCR-MEI A-Level (UK - Pre-2017)||S3||Estimation||Central Limit Theorem||-|
|Universal (all site questions)||E||Estimation||Central Limit Theorem||-|
|WJEC A-Level (Wales)||S2||Estimation||Central Limit Theorem||-|
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3 Illustration 2
4 Illustration 3
5 Binomial distribution
6 Using integration