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What is a biplot?
A biplot is a variety of statistical plot, which is a generalization of the simple two-variable scatter plot, and allows information on both samples and variables of a data matrix to be displayed graphically.
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
What is the characteristic of a normal distribution?
The Normal (or Gaussian) distribution is a symmetrical probability function whose shape is determined by two values: the mean and variance (or standard deviation).According to the law of large numbers, if you take repeated independent samples from any distribution, the means of those samples are distributed approximately normally. The greater the size of each sample, or the greater the number of samples, the more closely the results will match the normal distribution. This characteristic makes the Normal distribution central to statistical theory.
Is at the Minnesota zoo do spider monkeys typically weigh more than owl monkeys a statistical question?
Yes, it is.
What is the formula to getting a average?
Sum of all samples divided by the number of samples.
Example of a statistical treatment in a thesis?
The statistical treatment in a thesis is a tool. This tool is used to interpret data in a timely manner.
What is statistical treatment?
it explain how we conducted our thesis
What is statistical estimate?
A statistical estimate is an estimation of population based on one or many data samples of a group. There are two types of estimates: point and interval.
To decide whether observed differences between samples reflect actual differences between?
statistical significance
What is statistical treatment in a research paper?
this part describes the statistical tools used in the research and the reason of the researcher in using such tools.
How do you choose the most appropriate statistical procedure?
To choose the appropriate statistical test, the following four question must be answered; What are your dependent and independent variables? What is scale of measurement of the variables? How many groups/samples are there in the study? Have I have met the assumptions of the statistical test?
Example of statistical treatment?
Treating the cause of an underlying condition is my priority.
What are the disadvantages of hiring computer services in the treatment of your statistical data?
yes
Statistical treatment of data?
It is a part of your thesis where your gathered data is being solved...
What is the difference between control samples and test experimental samples?
It calculates the difference between each set of pairs, and analyzes that list of differences. The P value answersthis question: If the median difference in the ... If your samples are small and there are no tied ranks, Prism calculates an ... The whole point of using a paired test is to control for experimental.
What statistical tests can I use on data collected from quota samples?
The simple answer is you cannot use statistical tests on data collected from quota samples. Unless the sample was collected using a random sampling technique you cannot have any confidence in the results being representative of the population you are sampling. Quota samples are non random. However this does not stop researchers from using statistical tests on quota samples, even if the results can be taken with a pinch of salt!
What is t-test for dependent samples?
A t-test for dependent samples, also known as a paired samples t-test, is a statistical method used to compare the means of two related groups. This test assesses whether the mean difference between paired observations is significantly different from zero. It is commonly used in situations where the same subjects are measured before and after a treatment or intervention. The test accounts for the correlation between the paired observations, providing a more accurate analysis of the effect being studied.
