Worksheetsweek 6 and 7
Total questions: 17
Worksheet time: 2hrs 30mins
It is also known as the lottery technique wherein all numbers will be placed on a bowl and will be thoroughly shuffled or mixed.
Simple Random Sampling
Stratified Sampling
Cluster Sampling
Multistage Sampling
Every member of the population is assigned to one, and only one, group.
Stratified Sampling
Multistage Sampling
Cluster Sampling
Random Sampling
Describes a sample.
Parameter
Simple Random Technique
Statistic
Multistage Sampling
The population is divided into groups or strata, based on some characteristic. Then, within each group, a sample is selected.
Simple Random Sampling.
Parameter
Statistic
Stratified Sampling
Selecting a sample by using combinations of different sampling methods.
Multistage Sampling
Systematic random Sampling
Simple Random Sampling
Cluster Sampling
Selecting every kth element where k is a positive integer.
Multistage Sampling
Systematic random Sampling
Simple Random Sampling
Cluster Sampling
Describes the entire population
Statistic
Parameter
Random
Cluster
Everyone is given a chance to become a sample.
Multistage Sampling
Cluster Sampling
Random Sampling
Simple Random Sampling
A subset of population
Parameter
Sample
Statistic
Random sampling
Complete ang entire collection of elements to be studied
Random Sampling
probability sampling
convenience sampling
population
It is typically assumed that statistical tests contain data that has been obtained through (a) .
The difference between the two techniques is whether the sample is selected based on (a) or not.
There are several different sampling techniques available that can be grouped into two categories as _______, and ________.
(a)
In probability sampling, alternatively knows as (a) , you start with a complete sample frame of all eligible individuals that have an equal chance to be part of the selected sample.
The selection must occur in a ' (a) ' way, meaning that they do not differ in any significant way from observations not sampled.
Random Sampling or (a) is giving chances to all part of the population to become a sample.
Is a selection of a subset from within a statistical population.
(a)
