Z-test- definition, formula, examples, uses, z-test vs t-test

Z test

z-test definition z-test is a statistical tool used for the comparison or determination of the significance of several statistical measures, particularly the mean in a sample from a normally distributed population or between two independent samples. Like t-tests, z tests are also based on normal probability distribution. Z-test is the most commonly used statistical tool in research methodology, with it …

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P-value- definition, formula, table, finding p-value, significance

p-value

p-value definition The p-value or the calculated probability is the best probability to provide the smallest level of significance at which the null hypothesis is not true. It is the best-case scenario under which the test results will be the same as the results actually observed under the condition that the null hypothesis is correct.  A small p-value indicates the …

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ANOVA- definition, one-way, two-way, table, examples, uses

ANOVA Test

ANOVA Definition ANOVA (Analysis of Variance) is a statistical tool to test the homogeneity of different groups based on their differences. ANOVA is the method of analyzing the variance in a set of data and dividing the variance into groups according to the sources of those variations. ANOVA is based on the principle that the total amount of differences in …

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T-test- definition, formula, types, applications, example

T-test- definition, formula, types, applications, example

T-test definition The t-test is a test in statistics that is used for testing hypotheses regarding the mean of a small sample taken population when the standard deviation of the population is not known. The t-test is used to determine if there is a significant difference between the means of two groups. The t-test is used for hypothesis testing to …

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Chi-square test

Chi-square test

Chi-square test definition A Chi-square test is performed to determine if there is a difference between the theoretical population parameter and the observed data. Chi-square test is a non-parametric test where the data is not assumed to be normally distributed but is distributed in a chi-square fashion. It allows the researcher to test factors like a number of factors like …

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Independent vs Dependent variables- Definition, 10 Differences, Examples

Differences Between Independent and Dependent variables

Independent Variables The Independent variable is a type of variable used in experimental sciences, statistical modeling, and mathematical modeling which doesn’t depend on any other variables in the scope of the experiment. An independent variable can be manipulated in an experiment, which in turn affects the changes in the dependent variables. Mostly in mathematical equations, independent variables are denoted by …

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Type I Error and Type II Error- Definition, 10 Differences, Examples

Type I Error and Type II Error with 10 Differences

Image Source: AB Tasty. Type 1 error definition Type 1 error, in statistical hypothesis testing, is the error caused by rejecting a null hypothesis when it is true. Type 1 error is caused when the hypothesis that should have been accepted is rejected. Type I error is denoted by α (alpha) known as an error, also called the level of …

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Null hypothesis and alternative hypothesis with 9 differences

Null hypothesis and alternative hypothesis

Null hypothesis definition The null hypothesis is a general statement that states that there is no relationship between two phenomenons under consideration or that there is no association between two groups. A hypothesis, in general, is an assumption that is yet to be proved with sufficient pieces of evidence. A null hypothesis thus is the hypothesis a researcher is trying …

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Quantitative vs Qualitative Data- Definition, 13 Differences, Examples

Difference between Quantitative and Qualitative Data

Quantitative and Qualitative Data Definition Qualitative data is data concerned with descriptions, which can be observed but cannot be computed. On the contrary, quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed. So, for the collection and measurement of data, any of the two methods discussed above can be used. Although both have …

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Questionnaire- Types, Format, Questions

Questionnaire- Types, Format, Questions

A questionnaire is defined as a document containing questions and other types of items designed to solicit information appropriate for analysis. The questionnaire may be regarded as a form of an interview on paper. Procedure for the construction of a questionnaire follows a pattern similar to that of the interview schedule. However, because the questionnaire is impersonal it is all …

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