Statistique Et Méthodologie De La Recherche Test

Method is used to infer that the results from a sample are reflective of the true population
scores. ?

In correlation both variables are always?

The mean, median, mode and standard deviation are examples of:

31. The value of the coefficient of correlation r lies between:

When the p-value is less than 0.05 we can conclude that:

A discrete variable is:

The null hypothesis states the means are:

Correlation and regression are concerned with ?

The difference between regression analysis and correlation analysis is (except one):

When correlation coefficient is 1, all the points in a scatter diagram would lie?

The degree of linear association between two metric scaled variables is measured by:

Scatter diagram is considered for measuring :

Bivariate Data are the data collected for :

The measure of how well the regression line fits the data is the:

If two variables have a correlation coefficient of .30, what percentage of one variable is
accounted for by the other variable?

Inferential statistics enable you to :

When the p-value is greater than 0.05 we can conclude that:

In regression analysis, the variable that is being predicted is the:

if the correlation coefficient r = 0.5 then the coefficient of determination is?

An example of an experimental study is a(n):

Inferential statistics are useful for:

In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:

The value of the coefficient of determination (r2) ranges between

Quantitative data refers to:

If the plotted points in a scatter diagram are evenly distributed, then the correlation is :

To compare three independent means we use:

The coefficient of determination is the?

Which of the following are examples of continuous variables?

If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation
is :

The correlation coefficient is used to determine:

If the Pearson Correlation Coefficient shows zero value, it means that:

The regression equation always passes through:

The coefficient of determination (sometimes known as the regression coefficient) enables you to:

A t-test is used to compare:

Which of the following statements is false?

1. The method of least squares dictates that we choose a regression line where the sum of the
square of deviations of the points from the lie is:

A qualitative variable:

If a researcher conducts a study in which the reading ability of a class of 20 second graders is
tested at the beginning and at the end of the year, the appropriate statistical procedure to
analyze the results would be:

All data points falling along a straight line is called:

The graph showing the paired points of (Xi, Yi) is called:

The value we would predict for the dependent variable when the independent variables are all
equal to zero is called:

The coefficient of correlation

The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

If regression line of Y= 5, then value of regression coefficient of Y on X is:

Because of the possibility of error in sampling from populations, researchers use:

If all the values fall on the same straight line and the line has a positive slope then what will be
the value of the correlation coefficient ‘r’:

A perfect positive correlation is signified by:

Two variables have a positive association when?

Which Statistical software come with appropriate table, graph, and/or chart-building
features to easily convert tabular data into a variety of formats.?

The signs of regression coefficients and correlation coefficient are always:

Which of the following statements is true regarding a sample?

Inferential statistics is a process that involves all of the following EXCEPT:

The purpose of simple linear regression analysis is to:

A statistical technique that develops an equation that relates a dependent variable to one or
more independent variables is called: