Statistique Et Méthodologie De La Recherche Test

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1 / 60

Inferential statistics enable you to :

a. decide conducting interview

b. decide conducting research

c. estimate population parameters.

d. decide analysis data

2 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. Correlation but not linear

c. No linear correlation

d. Perfect linear correlation

3 / 60

Internal “validity” refers to:

a. how accurately the measurements represent underlying concepts.

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

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

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

4 / 60

Computers are essential for quantitative data analysis because?

a. they are fun to use.

b. they are so powerful

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

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

5 / 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. Unknown

b. Maximum

c. Zero

d. Minimum

6 / 60

A coefficient of correlation is computed to be -0.95 means that

a. The relationship between two variables is strong and positive

b. Correlation coefficient cannot have this value

c. The relationship between two variables is strong and but negative

d. The relationship between two variables is weak.

7 / 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 increase irregard less of how the values of the other variable change.

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

8 / 60

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

a. Sample size

b. Standard error of estimate

c. Coefficient of Correlation

d. Coefficient of Determination

9 / 60

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

a. Whether an abstract should be included

b. The size of the study

c. The format for referencing

d. Oral presentation

10 / 60

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

a. 1 to infinity

b. -1 to +1

c. 0 to +1

d. -1 to 0

11 / 60

Inferential statistics enable you to (Except one):

a. decide if the null hypothesis is false

b. decide if your research results are meaningful.

c. estimate population parameters.

d. decide if the research hypothesis is true

12 / 60

A t-test is used to compare:

a. 4 means

b. 3 means

c. 2 means

d. 5 means

13 / 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. Positive

c. Zero

d. Maximum

14 / 60

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

a. independent variable

b. intervening variable

c. response, or dependent, variable

d. is usually x

15 / 60

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

a. used to compute the correlation coefficient

b. the correlation model

c. the regression model

d. the sample size

16 / 60

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

a. the slope

b. the dependent variable

c. usually denoted by y

d. the independent variable

17 / 60

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

a. Negative

b. Zero

c. Constant

d. Positive

18 / 60

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:

a. 0

b. 0.5

c. -1

d. +1

19 / 60

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

a. Slope

b. Residual

c. Regression

d. Correlation

20 / 60

Correlation analysis is used to:

a. Simultaneously compare the effect of multiple independent variables on a dependent variable

b. Analyse data

c. Predict values of y based on values of x

d. Measure the strength of association between two variables

21 / 60

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

a. Dependent variable

b. Y-intercept

c. X-intercept

d. Independent variable

22 / 60

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

a. Focus group

b. Randomized clinical trial

c. Case report

d. Cross-sectional study

23 / 60

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

a. Linear correlation

b. Nonlinear correlation

c. Negative correlation

d. Positive correlation

24 / 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. 0 ≤ r ≤ 1

b. r ≥ 0

c. r = +1

d. r = -1

25 / 60

Which of the following statements is false?

a. The coefficient of determination can be applied to any curve.

b. The coefficient of determination can have values from –1 to 1.

c. The coefficient of determination can be applied to any straight line.

d. The coefficient of determination is the variation in y explained by variation in x, divided by the total variation in y.

26 / 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. 10%

d. 70%

27 / 60

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

a. Different

b. Positive

c. Same

d. Zero

28 / 60

If you have 20 pairs of subjects what would be the degrees of freedom for a test of correlation
between the groups of scores?

a. 20

b. 19

c. 21

d. 22

29 / 60

If the coefficient of determination is equal to 1, then the correlation coefficient:

a. can be any value between -1 to +1

b. must be -1

c. can be either -1 or +1

d. must also be equal to 1

30 / 60

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

a. Estimating a parameter

b. analyze relationships

c. Estimating a statistic.

d. test a hypothesis

31 / 60

The coefficient of determination (r2) is

a. the correlation coefficient squared

b. usually less than zero

c. the square root of the correlation coefficient

d. 100%

32 / 60

A scatter plot?

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

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

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

d. Shows a continuous relationship between two variables over time

33 / 60

The two forms of t-test are:

a. Independent and dependent

b. Bivariate and multiple

c. One-way and two-way

d. Factorial and interaction

34 / 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

35 / 60

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

a. Perfect correlation

b. Strong

c. Weak

d. Perfect negative

36 / 60

Scatter diagram is considered for measuring :

a. Linear relationship between two variables

b. Predict independent variable

c. Predict dependent variable

d. Curvilinear relationship between two variables

37 / 60

If a study is “reliable”, this means that:

a. he measures devised for concepts are stable on different occasions.

b. the findings can be generalized to other social phenomena

c. it was conducted by a reputable researcher who can be trusted

d. the methods are outlined in the methods discussion clearly enough for the research to be replicated.

38 / 60

The null hypothesis states the means are:

a. Not equal

b. Equal

c. Research hypothesis

d. Alternative hypothesis

39 / 60

Correlation and regression are concerned with ?

a. the relationship between two categorical variables.

b. the relationship between a quantitative explanatory variable and a categorical response variable.

c. the relationship between two quantitative variables.

d. the relationship between a categorical explanatory variable and a quantitative response variable.

40 / 60

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

a. Regression coefficient

b. Slope and Regression coefficient

c. Slope

d. Intercept

41 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Residual

c. Non linear relationship

d. Scatter diagram

42 / 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. Negative correlation

c. Positive correlation

d. Perfect negative correlation

43 / 60

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

a. Regression statistics

b. Correlated statistics

c. Descriptive statistics

d. Inferential statistics

44 / 60

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:

a. The dependent samples t-test

b. Chi-square

c. ANOVA

d. ANCOVA

45 / 60

Which of the following are examples of continuous variables?

a. Age in year

b. Number of children

c. Distance between

d. Birth weight of babies

46 / 60

The null hypothesis states the means are:

a. Equal

b. Not equal

c. Research hypothesis

d. Alternative hypothesis

47 / 60

A perfect positive correlation is signified by:

a. -1

b. -1 to +1

c. +1

d. 0

48 / 60

The term regression was used by:

a. Newton

b. Pearson

c. Spearman

d. Galton

49 / 60

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

a. Regression equation

b. Intercept

c. Correlation coefficient

d. Slope

50 / 60

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

a. Reject the null hypothesis

b. No evidence to reject the null hypothesis

c. Fail to reject the null hypothesis

d. No statistically significant

51 / 60

The regression equation always passes through:

a. Mean X

b. (X, Y)

c. mean X, Mean Y

d. (a, b)

52 / 60

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

a. Zero

b. Negative

c. Positive

d. One

53 / 60

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

a. Continuous variable

b. Independent variable

c. Dependent variable

d. Estimate

54 / 60

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

a. Estimates

b. Intercept and slope

c. Constants

d. Parameters

55 / 60

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

a. Same direction

b. Opposite direction

c. Same and opposite direction

d. Difficult to tell

56 / 60

A discrete variable is:

a. Can have two values

b. Can assume only certain clearly separated values

c. Can assume only whole number values

d. An example of a qualitative variable

57 / 60

To compare two means we use:

a. F-test

b. Chi-squared test

c. t-test

d. Oneway ANOVA

58 / 60

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

a. 2

b. 0.2X

c. -2

d. -0.2

59 / 60

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:

a. Zero

b. Perfect negative

c. Perfect positive

d. Negative

60 / 60

If two variables, x and y, have a very strong linear relationship, then:

a. there might not be any causal relationship between x and y

b. There is large correlation coefficient

c. there is evidence that y causes a change in x

d. there is evidence that x causes a change in y

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Statistique Et Méthodologie De La Recherche Test

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