Statistique Et MΓ©thodologie De La Recherche Test

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Statistique Et MΓ©thodologie De La Recherche Test

 

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Inferential statistics enable you to :

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The mean of a sampling distribution of a sample statistic is called :

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Correlation analysis aims at :

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Two variables have a positive association when?

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

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In regression analysis, the variable that is being predicted is

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A procedure used to select a sample of n objects from a population in such a way that each
member of the population is chosen strictly by chance, each member of the population is equally
likely to be chosen, and every possible sample of a given size, n, has the same chance of selection
is known as:

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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 β€˜r’:

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In the regression equation y = bo + b1x1, b1 is the

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The null hypothesis states the means are:

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

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If the value of regression coefficient is zero, then the two variable are called:

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The straight line graph of the linear equation Y = a + bX, slope is horizontal if:

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The dependent variable is also called except one:

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A scatterplot is a ?

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Correlation analysis is used to:

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Inferential statistics enable you to :

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

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

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The null hypothesis states the means are:

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All data points falling along a straight line is called:

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Which of the following statements regarding a researcher’s use of inferential statistics is
true?

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To compare two means we use:

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In correlation both variables are always?

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

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An r value of 0.80 indicates:

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If the points on the scatter diagram show no tendency either to increase together or decrease together the value of r will be close to:

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The slope of the regression line of Y on X is also called the:

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An alternative to statistical techniques for analysis of data to find patterns and trends is?

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

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Negative regression coefficient indicates that the movement of the variables are in:

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The step in the data analysis process is (EXCEPT ONE):

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If the slope of the regression equation y = bo + b1x is positive, then

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Inferential statistics are useful for:

35 / 60

Which of the following requirements for a scientific report writing may depend on your
institution (EXCEPT ONE)?

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Which of the following are examples of continuous variables?

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If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be:

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A scatter plot?

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The range of regression coefficient is:

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To investigate the association between two categorical variables we use:

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

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The best fitting trend is one for which the sum of squares of error is?

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The correlation coefficient is used to determine:

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The purpose of simple linear regression analysis is to:

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If both variables X and Y increase or decrease simultaneously, then the coefficient of correlation will be:

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A discrete variable is:

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Scatter diagram is considered for measuring :

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

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

50 / 60

If there is a very strong correlation between two variables then the correlation coefficient must
be:

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The coefficient of determination, r2, indicates:

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If Y = 2 – 0.2X, then the value of Y intercept is equal to:

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A t-test is used to compare:

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

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

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The arithmetic mean of the two regression coefficients is greater than or equal to:

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The total variation explained by a regression model is given by:

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In the regression equation Y = a+bX, the Y is called

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

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Which of the following statements is false?

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