In systematic sampling, individuals are selected at regular intervals from the sampling frame.
<h3>How to explain the sampling?</h3>
Stratified sampling- In this method, the population is first divided into subgroups (or strata) who all share a similar characteristic
<u>Clustered sampling.</u>- a clustered sample, subgroups of the population are used as the sampling unit, rather than individuals. The population is divided into subgroups, known as clusters, which are randomly selected to be included in the study
<u>Simple random sampling. </u>-In this case each individual is chosen entirely by chance and each member of the population has an equal chance, or probability, of being selected.
Quota sampling--This method of sampling is often used by market researchers. Interviewers are given a quota of subjects of a specified type to attempt to recruit.
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Suppose in 1992 Chris was x years old, his brother was then 2x years old.
6 years later in 1998, Chris is (x+6) years old, his brother is (2x+6),
(x+6)=(2/3)(2x+6)
x+6=(4/3)x+4
(4/3)x-x=6-4
(1/3)x=3
x=6
in 1992, Chris was 6, so in 2018 he will be 6+(2018-1992)=32 years old.
Answer:
D. 1 m
Step-by-step explanation:
100 cm = 1 m
This is a conversion factor
Answer:
33 ounces
Step-by-step explanation:
Just multiply. If one weights 3 ounces 11x3=33
