Yes its the best example so far
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.
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
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.
Yes, it is.
Sum of all samples divided by the number of samples.
The statistical treatment in a thesis is a tool. This tool is used to interpret data in a timely manner.
it explain how we conducted our thesis
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.
statistical significance
this part describes the statistical tools used in the research and the reason of the researcher in using such tools.
yes
Treating the cause of an underlying condition is my priority.
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?
It is a part of your thesis where your gathered data is being solved...
You can use statistical tests appropriate for categorical data, such as chi-square tests or Fisher's exact test for associations between variables. For continuous data, you can use t-tests or non-parametric tests like Mann-Whitney U test or Kruskal-Wallis test. It's important to consider the limitations of quota sampling in interpreting the results.
Statistical testing is used to analyze data for experimental treatment. This test is to do math.
ewan q ba maghanap ka na lang sa libro