Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. Positive

b. Zero

c. Negative

d. One

2 / 60

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

a. There is no relationship between the two variables

b. There is a strong relationship between the two variables

c. There is a weak relationship between the two variables

d. There is a relationship between the two variables

3 / 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

4 / 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. Minimum

c. Maximum

d. Zero

5 / 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. ANCOVA

d. ANOVA

6 / 60

A qualitative variable:

a. Is not numeric

b. Has only two possible outcomes

c. Has many outcomes

d. Always refers to a sample

7 / 60

Inferential statistics are useful for:

a. Determining the probability of something

b. Interviews

c. Observing natural behavior

d. Construct validity

8 / 60

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

a. Negative correlation

b. Nonlinear correlation

c. Positive correlation

d. Linear correlation

9 / 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 be -1

d. must also be equal to 1

10 / 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.

11 / 60

The term regression was used by:

a. Spearman

b. Galton

c. Newton

d. Pearson

12 / 60

Bivariate Data are the data collected for :

a. Two variables at the same point of time

b. Two variables

c. More than two variables

d. Two variables at different points of time.

13 / 60

The regression equation always passes through:

a. (X, Y)

b. (a, b)

c. Mean X

d. mean X, Mean Y

14 / 60

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

a. Zero

b. Positive

c. Different

d. Same

15 / 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. 39% of the total variation is explained by the independent variable

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

c. The correlation coefficient is 0.39 also

d. The relationship between two variables is negative

16 / 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 Determination

d. Coefficient of Correlation

17 / 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. On a straight line

c. Under the line

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

18 / 60

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

a. 0

b. 0.5

c. 1

d. 5

19 / 60

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

a. could be either + 0.9 or – 0.9

b. is 0.6561

c. must be negative

d. must be positive

20 / 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

21 / 60

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

a. must also be positive

b. can not be zero

c. can be either negative or positive

d. can be zero

22 / 60

The null hypothesis states the means are:

a. Equal

b. Not equal

c. Research hypothesis

d. Alternative hypothesis

23 / 60

In regression analysis, the variable that is being predicted is

a. usually denoted by x

b. the independent variable

c. slope

d. the dependent variable

24 / 60

In simple regression equation, the numbers of variables involved are:

a. 1

b. 2

c. 3

d. 0

25 / 60

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

a. Four

b. Two

c. Three

d. One

26 / 60

The range of regression coefficient is:

a. -1 to +1

b. 0 to 1

c. 0 to ∞

d. -∞ to +∞

27 / 60

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

a. Statistically significant

b. Fail to reject the null hypothesis

c. Strong evidence to reject the null hypothesis

d. Reject the null hypothesis

28 / 60

The correlation coefficient is used to determine:

a. The estimation parameter

b. A specific value of the y-variable given a specific value of the x-variable

c. A specific value of the x-variable given a specific value of the y-variable

d. The strength of the relationship between the x and y variables

29 / 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 slope

d. the dependent variable

30 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are unrelated

b. both are equal

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

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

31 / 60

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

a. Downward direction

b. Same direction

c. Opposite direction

d. Upward direction

32 / 60

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

a. y intercept

b. slope of the line

c. independent variable

d. parameter

33 / 60

In regression analysis, if the independent variable is measured in kilograms, the dependent
variable:

a. can be any units

b. must be in some unit of weight

c. cannot be in kilograms

d. must also be in kilograms

34 / 60

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

a. Negative

b. Zero

c. Weak

d. Positive

35 / 60

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

a. independent variable

b. parameter

c. y intercept

d. slope of the line

36 / 60

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

a. Estimates

b. Constants

c. Parameters

d. Intercept and slope

37 / 60

To investigate the association between two categorical variables we use:

a. F-test

b. Chi-squared test

c. t-test

d. z-test

38 / 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 regression model

c. the correlation model

d. the sample size

39 / 60

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

a. Randomized clinical trial

b. Case report

c. Cross-sectional study

d. Focus group

40 / 60

Inferential statistics enable you to :

a. estimate sample size

b. decide collecting data

c. calculate sample size.

d. decide if the research hypothesis is true

41 / 60

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

a. Data trending

b. Data mapping

c. Data mining

d. Data analysis

42 / 60

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

a. β

b. significance level

c. analysis of variance

d. Pearson correlation coefficient

43 / 60

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

a. +1

b. Negative number

c. 0

d. -1

44 / 60

Scatter diagram helps us to :

a. Find the nature correlation between two variables

b. Compute the extent of correlation between two variables

c. Calculate slop

d. Obtain the mathematical relationship between two variables

45 / 60

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

a. response, or dependent, variable

b. is usually x

c. intervening variable

d. independent variable

46 / 60

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

a. as x decrease y increases

b. as x decrease y decreases

c. as x increases y increases

d. as x increases y decreases

47 / 60

The two forms of t-test are:

a. One-way and two-way

b. Factorial and interaction

c. Independent and dependent

d. Bivariate and multiple

48 / 60

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

a. -1 ≤ r ≤ 1

b. 0 ≤ r ≤ 1

c. r ≥ 1

d. -1 ≤ r

49 / 60

Quantitative data refers to:

a. graphs and tables.

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. any data you present in your report

50 / 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. statistical analysis.

d. descriptive statistics.

51 / 60

If one item is fixed and unchangeable and the other item varies, the correlation coefficient will be:

a. Positive

b. Zero

c. Negative

d. Undecided

52 / 60

The null hypothesis states the means are:

a. Research hypothesis

b. Alternative hypothesis

c. Not equal

d. Equal

53 / 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 format for referencing

c. The size of the study

d. Oral presentation

54 / 60

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

a. -1 to 0

b. 0 to +1

c. 1 to infinity

d. -1 to +1

55 / 60

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

a. analyze relationships

b. Estimating a statistic.

c. Estimating a parameter

d. test a hypothesis

56 / 60

In descriptive statistics our main objective is to:

a. Draw conclusion

b. Describe the population

c. Infer something about the population

d. Describe the data we collected

57 / 60

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

a. Difficult to tell

b. Opposite direction

c. Same direction

d. Same and opposite direction

58 / 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. Slope

c. Difficult to tell

d. Intercept

59 / 60

The coefficient of determination is the?

a. ratio of the unexplained deviation to the total variation.

b. ratio of the explained variation to the total variation.

c. ratio of the unexplained deviation to the explained deviation.

d. ratio of the explained variation to the total deviation.

60 / 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. Positive

b. Minimum

c. Zero

d. Maximum

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Statistique Et Méthodologie De La Recherche Test

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