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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.
Rule or principle frequency expressed in statistical symbols?
Rule or principle frequency expressed in statistical symbols?
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?
What are the disadvantages of hiring computer services in the treatment of your statistical data?
yes
Example of statistical treatment?
Treating the cause of an underlying condition is my priority.
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?
Control samples are used as a baseline reference to compare with the experimental samples, which are subjected to a specific treatment or condition. Control samples help to account for variability and ensure that any observed changes in the experimental samples are due to the treatment being tested. Experimental samples are used to investigate the impact of a particular variable or treatment on the system being studied.
What statistical tests can I use on data collected from quota samples?
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.
Definition of independent sample.?
Independent samples are a set of observations or data points that are not influenced by or related to each other. Each sample is collected without affecting or being affected by the other samples, allowing for statistical analysis to make conclusions about a broader population. This lack of relationship between the samples is important for ensuring the validity of statistical tests and analyses.
