QUANTITATIVE METHOD CHAPTER 1-4 FINALS

Inferential statistics

uses statistical techniques to extrapolate information from a smaller sample to make predictions and draw conclusions about a larger population.​

Hypothesis testing​

Creating a null hypothesis and an alternative hypothesis, then performing a statistical test of significance are required.

Wilcoxon signed-rank

tests whether the mean values of two dependent groups differ significantly from each other

Mann-Whitney U

Tests whether there is a difference between two groups

Kruskal-Wallis

test for multiple independent samples that is usedwhen your prerequisites for a one-way analysis of variance are not me

ANOVA

Analyze the difference between the means of >2 groups

F-test

Compare Variances of two samples or populations

T-test

Continues Probability Distribution, sample size < 30

Z-test

Normal Distribution, sample size >= 30

Regression Analysis

is the technique concerned with predicting some variables by knowing others.

Descriptive Statistics

use measures like mean, median, mode, standard deviation, variance, and range to summarize and describe a data set's characteristics.

Correlation Analysis

Finding the relationship between two quantitativevariables without being able to infer causalrelationships.​

Correlation

is a statistical technique used to determine the degree to which two variables are related.​

Describes the strength of a linear relationship between two variables.

Scatter Diagram​

this diagram has One variable is called independent (X) and the second is called dependent (Y).​

Scatter Plots​

The pattern of data is indicative of the type of relationship between your two variables

Positive Relationship

Variables that are positively correlated move in the same direction.​

Negative Relationship

Variables that are negatively correlated move in opposite directions.​

No Relationship

If the points on the scatter plot seem to be scattered randomly, there is no relationship or no correlation between the variables. ​

Correlation Coefficient​

Statistic showing the degree of relation between two variables.

Simple Correlation coefficient (r)​

It is also called as Pearson's correlation or Product moment correlation coefficient. ​

It measures the nature and strength between two variables of the quantitative type.​

Spearman Rank Correlation Coefficient (rs)​

It is a non-parametric measure of correlation. ​

This procedure makes use of the two sets of ranksthat may be assigned to the sample values of x andy.​

Regression

tells us how to draw the straight line described by the correlation.​

Calculates the "best-fit" line for a certain set of data.

Least Squares Method

A procedure that minimizes the vertical deviations of plotted points surrounding a straight line.​

Regression Equation

It describes the regression line mathematically​

Intercept

indicates the location where it intersects an axis. ​

Slope

indicates the steepness (the property possessed by a line or surface that departs from the horizontal)of a line.​