9. Sampling and estimation

9.01 Population and samples

9.02 Distribution of sample proportions

9.025 Mean and standard deviation of sample proportions

9.03 Approximating the distribution of sample proportions

9.04 Confidence intervals for sample proportions

9.05 Applications of confidence intervals

INVESTIGATION - Sampling and simulation

Year 12

9.01 Population and samples

Interactive practice questions

A $sample$ is the entire group being considered in a statistical analysis.

$False$

A

$True.$

B

Easy

< 1min

A $population$ is a selection of some of the $sample$ .

Easy

< 1min

For a statistical survey the population is deemed to be all the students that attend the local high school.

Which three of the following are samples of that population?

Easy

< 1min

For a statistical survey the population is deemed to be all people aged under $18$18, who live in $Sydney$ .

Which two of the following are samples of that population?

Easy

< 1min

Outcomes

4.3.1

examine the concept of a random sample

4.3.2

discuss sources of bias in samples, and procedures to ensure randomness

4.3.3

use graphical displays of simulated data to investigate the variability of random samples from various types of distributions, including uniform, normal and Bernoulli

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