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What is the difference between convenience judgment and random sampling?
Non-probability or Judgement Samples has to do with a basic researcher assumptions about the nature of the population, the researcher assumes that any sample would be representative to the population,the results of this type of samples can not be generalized to the population(cause it may not be representative as the research assumed) and the results may be biased. Probability or Random samples is a sample that to be drawn from the population such that each element in the population has a chance to be in the selected sample the results of the random samples can be used in Statistical inference purposes
Randomization in an experiment means that the experimental units or subjects are selected as a simple random sample from the whole population under study?
False
Suppose that a population that a population has mean equals 64 and standard deviation equals 18. A sample of size 36 is selected. What is the mean of the sampling distribution of means?
64.
Which of the following show an element of the sample space for first shooting a basketball and then rolling a die X equals MakeO equals Miss?
This is a question of probability; often, probabilities are expressed and solved using fractions.
The Binomial Test is a parametric statistical test?
Binomial is a non- parametric test. Since this binomial test of significance does not involve any parameter and therefore is non parametric in nature, the assumption that is made about the distribution in the parametric test is therefore not assumed in the binomial test of significance. In the binomial test of significance, it is assumed that the sample that has been drawn from some population is done by the process of random sampling. The sample on which the binomial test of significance is conducted by the researcher is therefore a random sample.
Why do you use Stratified sampling?
They have used Stratified Sample. Design because stratified sample is a sampling technique in which the researcher divided the entire target population into different subgroups, or strata, and then randomly selects the final subjects proportionally from the different strata. This type of sampling is used when the researcher wants to highlight specific subgroups within the population. So in this Research this technique is used by the researcher.
How is sample related to population?
A population is the collection of all of the units of interest to a researcher. A sample is a subset of this collection that the researcher selects that is typically smaller than the population.
The subset of a population from which the researcher collects data is called?
sample
What is called a group of subjects selected from the group of all subjects?
sample
What is sample and population?
A sample is a group of subjects such as selected from a population. A population deals with all different kinds of subjects that are being studied.
The standard deviation of a sample of 10000 observations equals 121 The variance of the sample equals?
It equals 14641.
What are two ways that researcher can avoid a biased sample?
experimental and control groups
What is the difference between quota and stratified sampling?
The main difference between the quota and stratified sampling is that in the stratified sampling the researcher can not select the individuals to be included in the sample (he doesn't have control over who will be in the simple), but in the quota sampling the researcher has control over who will be in the sample (he can contact certain people and include them in the sample).
When a researcher limits a sample to a group of his or her personal friends in order to minimize non-response errors the sample is referred to as?
A complete waste of everyone's time!
What group of subjects selected for observation in an empirical study?
sample
What is a sample of a population that has been selected using a pattern?
A sample of a population that has been selected using a pattern is when a researcher selects every 10th person from a list or sampling frame. For example, if a researcher wants to study the attitudes of employees in a large company, they may select every 10th employee from the company directory. This method ensures a systematic pattern in selecting the sample.
Sample of scope and delimitation?
The scope is the extent of the area or subject matter that something deals with or to which it is relevant. A delimitation is the boundaries the researcher has set for the study, the place where the researcher lists the things they are not doing and why they are not doing them.
