Statistique Et Méthodologie De La Recherche Test

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1 / 60

If the two series move in reverse directions and the variations in their values are always proportionate, it is said to be:

a. Perfect positive correlation

b. Positive correlation

c. Negative correlation

d. Perfect negative correlation

2 / 60

A scatter plot?

a. Shows a (negative or positive) relationship or correlation between 2 variables and how they interact

b. Shows a continuous relationship between two variables over time

c. Is useful in comparing differences in magnitude of different variables

d. Is used to compare parts to the whole or to compare the total with each part or percentage

3 / 60

Quantitative data refers to:

a. any data you present in your report

b. statistical analysis

c. numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives

d. graphs and tables.

4 / 60

In simple linear regression model Y = α + βX + ε where α and β are called

a. Estimates

b. Variables

c. Random errors

d. Parameters

5 / 60

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

a. as x decrease y decreases

b. as x increases y increases

c. as x increases y decreases

d. as x decrease y increases

6 / 60

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

a. Coefficient of Determination

b. Sample size

c. Standard error of estimate

d. Coefficient of Correlation

7 / 60

Which part of written report that can answer the research question?

a. Discussion

b. Introduction

c. Method

d. Result

8 / 60

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:

a. Simple random sampling

b. statistical thinking.

c. descriptive statistics.

d. statistical analysis.

9 / 60

When the ratio of variations in the related variables is constant, it is called:

a. Nonlinear correlation

b. Negative correlation

c. Linear correlation

d. Positive correlation

10 / 60

If the coefficient of determination is 0.81, the correlation coefficient:

a. must be positive

b. must be negative

c. is 0.6561

d. could be either + 0.9 or – 0.9

11 / 60

A perfect positive correlation is signified by:

a. 0

b. -1 to +1

c. +1

d. -1

12 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Different

b. Positive

c. Same

d. Negative

13 / 60

In scatter diagram, if most of the points lie in the first and third quadrants, then coefficient of correlation is:

a. Zero

b. Constant

c. Negative

d. Positive

14 / 60

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. r = +1

b. r = -1

c. 0 ≤ r ≤ 1

d. r ≥ 0

15 / 60

Inferential statistics enable you to :

a. estimate sample size

b. decide collecting data

c. decide if the research hypothesis is true

d. calculate sample size.

16 / 60

When there is no linear correlation between two variables, what will the value of r be?

a. 0

b. +1

c. -1

d. Negative number

17 / 60

The coefficient of determination, r2, indicates:

a. The sum of the residuals from each data point

b. How closely the data fit a defined curve

c. The linear relationship between two variables

d. The slope of the line of best fit

18 / 60

Two variables have a positive association when?

a. the values of one variable tend to increase as the values of the other variable increase.

b. the values of both variables are always positive.

c. the values of one variable tend to decrease as the values of the other variable increase.

d. the values of one variable tend to increase irregard less of how the values of the other variable change.

19 / 60

All data points falling along a straight line is called:

a. Scatter diagram

b. Linear relationship

c. Residual

d. Non linear relationship

20 / 60

Computers are essential for quantitative data analysis because?

a. they are fun to use.

b. they are so powerful

c. they enable easy calculation for those of us not too good with figures

d. increasingly data analysis software contain algorithms that check the data for obvious errors as it is entered

21 / 60

When the two regression lines are parallel to each other, then their slopes are:

a. Different

b. Zero

c. Same

d. Positive

22 / 60

The null hypothesis states the means are:

a. Alternative hypothesis

b. Equal

c. Not equal

d. Research hypothesis

23 / 60

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

a. slope of the regression

b. coefficient of determination

c. standard error

d. mean square error

24 / 60

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

a. 0.2X

b. -0.2

c. 2

d. -2

25 / 60

2. A relationship where the flow of the data points is best represented by a curve is called:

a. Linear positive

b. Nonlinear relationship

c. Linear negative

d. Linear relationship

26 / 60

If all the plotted points in a scatter diagram lie on a single line, then the correlation is :

a. Perfect correlation

b. Perfect negative

c. Strong

d. Weak

27 / 60

In the regression equation Y = a + bX, where a and b are called:

a. Parameters

b. Intercept and slope

c. Estimates

d. Constants

28 / 60

If the correlation coefficient is a positive value, then the slope of the regression line:

a. must also be positive

b. can be either negative or positive

c. can be zero

d. can not be zero

29 / 60

Inferential statistics enable you to (Except one):

a. estimate population parameters.

b. decide if your research results are meaningful.

c. decide if the null hypothesis is false

d. decide if the research hypothesis is true

30 / 60

If all the actual and estimated values of Y are same on the regression line, the sum of squares of error will be:

a. Maximum

b. Unknown

c. Zero

d. Minimum

31 / 60

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

a. Reject the null hypothesis

b. Fail to reject the null hypothesis

c. No statistically significant

d. No evidence to reject the null hypothesis

32 / 60

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

a. 9%

b. 30%

c. 70%

d. 10%

33 / 60

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

a. Data retrieval

b. Data analysis and interpretation

c. Data presentation

d. Data promotion

34 / 60

The range of regression coefficient is:

a. 0 to ∞

b. 0 to 1

c. -1 to +1

d. -∞ to +∞

35 / 60

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

a. We usually need to take several samples to obtain a good estimate of the population values.

b. A random sample provides a perfect estimate of the population values.

c. It is best to measure every member of a population if possible

d. Descriptive statistics from a sample are used to estimate the characteristics of the population.

36 / 60

The two forms of t-test are:

a. Independent and dependent

b. One-way and two-way

c. Bivariate and multiple

d. Factorial and interaction

37 / 60

A process by which we estimate the value of dependent variable on the basis of one or more
independent variables is called:

a. Residual

b. Correlation

c. Slope

d. Regression

38 / 60

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. Minimum

b. Maximum

c. Positive

d. Zero

39 / 60

Bivariate Data are the data collected for :

a. Two variables at the same point of time

b. More than two variables

c. Two variables at different points of time.

d. Two variables

40 / 60

Internal “validity” refers to:

a. how accurately the measurements represent underlying concepts.

b. The extent to which the researcher believes that this was a worthwhile project

c. Whether or not there is really a causal relationship between two variables

d. whether or not the findings are relevant to the researchers' everyday lives.

41 / 60

The dependent variable is also called except one:

a. Regressand variable

b. Explained variable

c. Independent variable

d. Predictand variable

42 / 60

The coefficient of determination (r2) is

a. the square root of the correlation coefficient

b. usually less than zero

c. the correlation coefficient squared

d. 100%

43 / 60

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

a. 1.00

b. 0.25

c. 2.50

d. 0.10

44 / 60

In regression analysis, the variable that is doing the predicting or explaining is

a. the independent variable

b. usually denoted by y

c. the dependent variable

d. the slope

45 / 60

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

a. Negative

b. Zero

c. Strong

d. Positive

46 / 60

Let the coefficient of determination computed to be 0.39 in a problem involving one independent variable and one dependent variable. This result means that

a. The correlation coefficient is 0.39 also

b. The relationship between two variables is negative

c. 39% of the total variation is explained by the dependent variable

d. 39% of the total variation is explained by the independent variable

47 / 60

The correlation coefficient, r, can take on any value within what range?

a. 0 ≤ r ≤ 1

b. r ≥ 1

c. -1 ≤ r ≤ 1

d. -1 ≤ r

48 / 60

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

a. 5

b. 0

c. 0.5

d. 1

49 / 60

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

a. Sum of residual

b. Difficult to tell

c. Intercept

d. Slope

50 / 60

To investigate the association between two categorical variables we use:

a. t-test

b. z-test

c. F-test

d. Chi-squared test

51 / 60

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

a. Same direction

b. Same and opposite direction

c. Opposite direction

d. Difficult to tell

52 / 60

A measure of the strength of the linear relationship that exists between two variables is called:

a. Intercept

b. Correlation coefficient

c. Slope

d. Regression equation

53 / 60

My estimated regression line is Y = 17 + 4X. The intercept is equal to:

a. 13

b. 4

c. 17

d. 21

54 / 60

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

a. Correlation analysis

b. Regression analysis

c. Inference

d. Partial correlation analysis

55 / 60

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

a. Same direction

b. Downward direction

c. Opposite direction

d. Upward direction

56 / 60

The term regression was used by:

a. Galton

b. Spearman

c. Newton

d. Pearson

57 / 60

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

a. Slope and Regression coefficient

b. Regression coefficient

c. Intercept

d. Slope

58 / 60

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

a. On a straight line

b. On a straight line directed from upper left to lower right

c. Under the line

d. On a straight line directed from lower left to upper right

59 / 60

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

a. independent variable

b. slope of the line

c. parameter

d. y intercept

60 / 60

To compare two means we use:

a. F-test

b. Oneway ANOVA

c. t-test

d. Chi-squared test

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Statistique Et Méthodologie De La Recherche Test

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