| Exam Board | Edexcel |
|---|---|
| Module | S2 (Statistics 2) |
| Year | 2005 |
| Session | June |
| Marks | 4 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Central limit theorem |
| Type | Sampling distribution theory |
| Difficulty | Easy -1.8 This is a pure recall question requiring only definitions of three basic statistical terms from S2. No calculations, problem-solving, or application required—students simply need to write down memorized definitions of fundamental sampling concepts. |
| Spec | 2.01a Population and sample: terminology2.01c Sampling techniques: simple random, opportunity, etc2.02f Measures of average and spread |
| Answer | Marks |
|---|---|
| Individual member or element of the population or sampling frame | B1 |
| Answer | Marks |
|---|---|
| A list of all sampling units or all the population | B1 |
| Answer | Marks |
|---|---|
| All possible samples are chosen from a population; the values of a statistic and the associated probabilities is a sampling distribution | B1, B1 |
**4(a)**
| Individual member or element of the population or sampling frame | B1 | |
**4(b)**
| A list of all sampling units or all the population | B1 | |
**4(c)**
| All possible samples are chosen from a population; the values of a statistic and the associated probabilities is a sampling distribution | B1, B1 | |
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4. Explain what you understand by
\begin{enumerate}[label=(\alph*)]
\item a sampling unit,
\item a sampling frame,
\item a sampling distribution.
\end{enumerate}
\hfill \mbox{\textit{Edexcel S2 2005 Q4 [4]}}