Statistique Et Méthodologie De La Recherche Test

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1 / 60

Which of the following statements is true regarding a sample?

a. It refers to descriptive statistics

b. It is a part of population

c. It refers to estimation

d. It must contain at least five observations

2 / 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

3 / 60

The coefficient of determination, r2, indicates:

a. The sum of the residuals from each data point

b. The linear relationship between two variables

c. The slope of the line of best fit

d. How closely the data fit a defined curve

4 / 60

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

a. One

b. Positive

c. Zero

d. Negative

5 / 60

Bivariate Data are the data collected for :

a. Two variables at the same point of time

b. Two variables at different points of time.

c. Two variables

d. More than two variables

6 / 60

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

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

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

c. the findings can be generalized to other social phenomena

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

7 / 60

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

a. 13

b. 4

c. 17

d. 21

8 / 60

In descriptive statistics our main objective is to:

a. Draw conclusion

b. Describe the population

c. Describe the data we collected

d. Infer something about the population

9 / 60

The coefficient of determination (r2) is

a. the correlation coefficient squared

b. usually less than zero

c. 100%

d. the square root of the correlation coefficient

10 / 60

A discrete variable is:

a. An example of a qualitative variable

b. Can have two values

c. Can assume only certain clearly separated values

d. Can assume only whole number values

11 / 60

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

a. b ≠ 0

b. b = 1

c. a = b

d. b = 0

12 / 60

The term regression was used by:

a. Pearson

b. Newton

c. Galton

d. Spearman

13 / 60

Inferential statistics enable you to (Except one):

a. decide if the research hypothesis is true

b. estimate population parameters.

c. decide if the null hypothesis is false

d. decide if your research results are meaningful.

14 / 60

In correlation both variables are always?

a. same

b. Non Random

c. Random

d. different

15 / 60

Correlation analysis is used to:

a. Measure the strength of association between two variables

b. Predict values of y based on values of x

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

d. Analyse data

16 / 60

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

a. can be either -1 or +1

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

c. must also be equal to 1

d. must be -1

17 / 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. descriptive statistics.

c. statistical analysis.

d. statistical thinking.

18 / 60

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

a. is 0.6561

b. could be either + 0.9 or – 0.9

c. must be negative

d. must be positive

19 / 60

Which of the following are examples of continuous variables?

a. Number of children

b. Age in year

c. Birth weight of babies

d. Distance between

20 / 60

The two forms of t-test are:

a. Factorial and interaction

b. Bivariate and multiple

c. One-way and two-way

d. Independent and dependent

21 / 60

Correlation analysis aims at :

a. Investigate cause of outcome

b. Predicting one variable for a given value of the other variable

c. Measuring the extent of relation between two variables

d. Establishing relation between two variables

22 / 60

The null hypothesis states the means are:

a. Research hypothesis

b. Alternative hypothesis

c. Not equal

d. Equal

23 / 60

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

a. Parameters

b. Estimates

c. Intercept and slope

d. Constants

24 / 60

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

a. Pie diagram

b. Scatter diagram

c. Histogram

d. Historigram

25 / 60

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

a. Zero

b. Same

c. Different

d. Positive

26 / 60

A scatterplot is a ?

a. two-dimensional graph of a straight line.

b. two-dimensional graph of a curved line.

c. one-dimensional graph of randomly scattered data.

d. two-dimensional graph of data values.

27 / 60

Scatter diagram helps us to :

a. Calculate slop

b. Find the nature correlation between two variables

c. Compute the extent of correlation between two variables

d. Obtain the mathematical relationship between two variables

28 / 60

In the regression equation y = bo + bx, bo is the

a. y intercept

b. independent variable

c. parameter

d. slope of the line

29 / 60

Internal “validity” refers to:

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

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. how accurately the measurements represent underlying concepts.

30 / 60

51. What is the slope of the line y = -3.4x – 2.5?

a. 2.5

b. 3.4

c. -3.4

d. -2.5

31 / 60

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

a. Zero

b. Negative

c. Constant

d. Positive

32 / 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 sample size

c. the correlation model

d. the regression model

33 / 60

What does it mean when you calculate a 95% confidence interval?

a. The sample result is between this interval

b. You can be “5% confident” that your interval will not include the population parameter

c. You can be “95% confident” that your interval will include the population parameter

d. The process you used will capture the true parameter 95% of the time in the long run

34 / 60

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

a. β

b. significance level

c. Pearson correlation coefficient

d. analysis of variance

35 / 60

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

a. Independent variable

b. Dependent variable

c. Estimate

d. Continuous variable

36 / 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. Negative

c. Perfect positive

d. Perfect negative

37 / 60

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

a. Standard Error or Estimate

b. Coefficient of Determination

c. Coefficient of Correlation

d. Coefficient of Skewness

38 / 60

Inferential statistics enable you to :

a. calculate sample size.

b. decide if the research hypothesis is true

c. estimate sample size

d. decide collecting data

39 / 60

In regression analysis, the variable that is being predicted is

a. the dependent variable

b. slope

c. usually denoted by x

d. the independent variable

40 / 60

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

a. Positive

b. Zero

c. Negative

d. Weak

41 / 60

The purpose of simple linear regression analysis is to:

a. Predict one variable from another variable

b. Measure the degree to which two variables are linearly associated

c. Replace points on a scatter diagram by a straight-line

d. Obtain the expected value of the independent variable

42 / 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. ANOVA

c. ANCOVA

d. Chi-square

43 / 60

A Type I error occurs when the null hypothesis is:

a. Rejected and the research hypothesis is actually false.

b. rejected and null hypothesis is actually true.

c. accepted but and research hypothesis is actually true.

d. accepted and null hypothesis is actually true.

44 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are unrelated

b. The coefficient of determination is the coefficient of correlation squared

c. both are equal

d. The coefficient of determination is the square root of the coefficient of correlation

45 / 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. -1

c. +1

d. 0.5

46 / 60

The sum of the difference between the actual values of Y and its values obtained from the fitted regression line is always:

a. Minimum

b. Positive

c. Zero

d. Negative

47 / 60

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

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

b. The relationship between two variables is weak.

c. The relationship between two variables is strong and positive

d. Correlation coefficient cannot have this value

48 / 60

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

a. Same and opposite direction

b. Difficult to tell

c. Same direction

d. Opposite direction

49 / 60

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

a. measure the difference between two variables.

b. assess the strength of relationship between a quantifiable dependent variable and one or more quantifiable independent variables.

c. assess whether two variables measure the same phenomenon.

d. establish whether the data is telling you what you think it should tell you.

50 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x2

c. ŷ = b0 + b1x + b2x2

d. ŷ = b0 + b1x+b2

51 / 60

To compare three independent means we use:

a. F-test

b. Oneway ANOVA

c. Chi-squared test

d. t-test

52 / 60

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

a. Linear correlation

b. Nonlinear correlation

c. Positive correlation

d. Negative correlation

53 / 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 decreases

c. as x decrease y increases

d. as x increases y increases

54 / 60

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

a. independent variable

b. is usually x

c. response, or dependent, variable

d. intervening variable

55 / 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. Coefficient of Correlation

d. Standard error of estimate

56 / 60

In simple linear regression, the numbers of unknown constants are:

a. Two

b. Three

c. One

d. Four

57 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. No linear correlation

c. Correlation but not linear

d. Perfect linear correlation

58 / 60

Computers are essential for quantitative data analysis because?

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

b. they are so powerful

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

d. they are fun to use.

59 / 60

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

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

b. Under the line

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

d. On a straight line

60 / 60

Correlation and regression are concerned with ?

a. the relationship between two quantitative variables.

b. the relationship between two categorical variables.

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

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

Your score is

The average score is 83%

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Statistique Et Méthodologie De La Recherche Test

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