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 negative correlation

b. Positive correlation

c. Negative correlation

d. Perfect positive correlation

2 / 60

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

a. 0

b. 5

c. 1

d. 0.5

3 / 60

Inferential statistics enable you to (Except one):

a. decide if your research results are meaningful.

b. decide if the research hypothesis is true

c. estimate population parameters.

d. decide if the null hypothesis is false

4 / 60

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

a. intervening variable

b. is usually x

c. independent variable

d. response, or dependent, variable

5 / 60

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

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

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

c. The sample result is between this interval

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

6 / 60

In correlation both variables are always?

a. Non Random

b. Random

c. different

d. same

7 / 60

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

a. can be either -1 or +1

b. must be -1

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

d. must also be equal to 1

8 / 60

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

a. Cross-sectional study

b. Randomized clinical trial

c. Focus group

d. Case report

9 / 60

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

a. coefficient of determination

b. mean square error

c. standard error

d. slope of the regression

10 / 60

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

a. Negative

b. Zero

c. Minimum

d. Positive

11 / 60

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

a. Zero

b. Positive

c. Constant

d. Negative

12 / 60

Correlation analysis aims at :

a. Establishing relation between two variables

b. Investigate cause of outcome

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

d. Measuring the extent of relation between two variables

13 / 60

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

a. as x increases y increases

b. as x increases y decreases

c. as x decrease y increases

d. as x decrease y decreases

14 / 60

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

a. Estimates

b. Constants

c. Parameters

d. Intercept and slope

15 / 60

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

a. X-intercept

b. Dependent variable

c. Independent variable

d. Y-intercept

16 / 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. Perfect positive

b. Negative

c. Perfect negative

d. Zero

17 / 60

If the correlation coefficient is 0.8, the percentage of variation in the response variable explained
by the variation in the explanatory variable is:

a. 0.64%

b. 80%

c. 64%

d. 0.80%

18 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x2

b. ŷ = b0 + b1x + b2x2

c. ŷ = b0 + b1x

d. ŷ = b0 + b1x+b2

19 / 60

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

a. Positive

b. Same

c. Zero

d. Different

20 / 60

To compare three independent means we use:

a. F-test

b. t-test

c. Oneway ANOVA

d. Chi-squared test

21 / 60

Scatter diagram is considered for measuring :

a. Predict dependent variable

b. Curvilinear relationship between two variables

c. Predict independent variable

d. Linear relationship between two variables

22 / 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. 0 ≤ r ≤ 1

c. r = +1

d. r ≥ 0

23 / 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. How closely the data fit a defined curve

d. The slope of the line of best fit

24 / 60

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

a. Correlation coefficient cannot have this value

b. The relationship between two variables is weak.

c. The relationship between two variables is strong and positive

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

25 / 60

Inferential statistics enable you to :

a. decide if the research hypothesis is true

b. calculate sample size.

c. decide collecting data

d. estimate sample size

26 / 60

Which of the following statements is true regarding a sample?

a. It is a part of population

b. It refers to estimation

c. It refers to descriptive statistics

d. It must contain at least five observations

27 / 60

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

a. No statistically significant

b. No evidence to reject the null hypothesis

c. Fail to reject the null hypothesis

d. Reject the null hypothesis

28 / 60

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

a. There is a strong relationship between the two variables

b. There is no relationship between the two variables

c. There is a relationship between the two variables

d. There is a weak relationship between the two variables

29 / 60

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

a. Reject the null hypothesis

b. Statistically significant

c. Strong evidence to reject the null hypothesis

d. Fail to reject the null hypothesis

30 / 60

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

a. Dependent

b. Independent

c. Difficult to tell

d. Independent and dependent

31 / 60

Two variables have a positive association when?

a. the values of both variables are always positive.

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

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

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

32 / 60

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

a. Positive

b. Zero

c. Negative

d. Strong

33 / 60

When regression line passes through the origin, then:

a. Correlation is zero

b. Intercept is zero

c. Regression coefficient is zero

d. Association is zero

34 / 60

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

a. -1 to +1

b. 1 to infinity

c. -1 to 0

d. 0 to +1

35 / 60

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

a. the standard error.

b. the central limit.

c. the expected value

d. the mean of the means.

36 / 60

A perfect positive correlation is signified by:

a. +1

b. -1 to +1

c. -1

d. 0

37 / 60

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

a. Linear relationship

b. Linear positive

c. Linear negative

d. Nonlinear relationship

38 / 60

An r value of 0.80 indicates:

a. No linear correlation

b. Strong linear correlation

c. Perfect linear correlation

d. Correlation but not linear

39 / 60

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

a. assess whether two variables measure the same phenomenon.

b. measure the difference between two variables.

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

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

40 / 60

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

a. Weak

b. Perfect negative

c. Strong

d. Perfect correlation

41 / 60

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

a. 0.25

b. 2.50

c. 1.00

d. 0.10

42 / 60

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

a. -2

b. 0.2X

c. -0.2

d. 2

43 / 60

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

a. can be any units

b. must also be in kilograms

c. must be in some unit of weight

d. cannot be in kilograms

44 / 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.

45 / 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.

46 / 60

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

a. Inferential statistics

b. Correlated statistics

c. Descriptive statistics

d. Regression statistics

47 / 60

The purpose of simple linear regression analysis is to:

a. Predict one variable from another variable

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

c. Obtain the expected value of the independent variable

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

48 / 60

The null hypothesis states the means are:

a. Equal

b. Not equal

c. Research hypothesis

d. Alternative hypothesis

49 / 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

50 / 60

The coefficient of correlation

a. can never be negative

b. can never be positive

c. is the square root of the coefficient of determination

d. is the coefficient of determination squared

51 / 60

R2 is used in regression analysis to:

a. To determine how well the model works

b. Measure model fit

c. Measure the amount of variance in the dependent variable explained by variation in the independent variables

d. Estimate correlation

52 / 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

53 / 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

54 / 60

A t-test is used to compare:

a. 5 means

b. 4 means

c. 3 means

d. 2 means

55 / 60

To investigate the association between two categorical variables we use:

a. Chi-squared test

b. z-test

c. t-test

d. F-test

56 / 60

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

a. Coefficient of Correlation

b. Coefficient of Determination

c. Standard Error or Estimate

d. Coefficient of Skewness

57 / 60

31. The value of the coefficient of correlation r lies between:

a.  -0-.5 and +0.5

b. 0 and 1

c. -1 and +1

d. -1 and 0

58 / 60

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

a. 1

b. 0

c. 2

d. 3

59 / 60

Quantitative data refers to:

a. graphs and tables.

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

c. any data you present in your report

d. statistical analysis

60 / 60

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

a. independent variable

b. parameter

c. y intercept

d. slope of the line

Your score is

The average score is 86%

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