Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. There is a weak 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 strong relationship between the two variables

2 / 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

3 / 60

To compare three independent means we use:

a. t-test

b. Oneway ANOVA

c. F-test

d. Chi-squared test

4 / 60

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

a. Estimates

b. Parameters

c. Random errors

d. Variables

5 / 60

Which of the following statements is true?

a. The coefficient of determination can have values from 0 to 1.

b. The coefficient of determination can have values from 1 to 2

c. The coefficient of determination can have values from –1 to -2.

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

6 / 60

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

a. Negative

b. Weak

c. Zero

d. Positive

7 / 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 dependent variable

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

c. The relationship between two variables is negative

d. The correlation coefficient is 0.39 also

8 / 60

Correlation analysis aims at :

a. Measuring the extent of relation between two variables

b. Establishing relation between two variables

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

d. Investigate cause of outcome

9 / 60

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

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

b. can be either -1 or +1

c. must be -1

d. must also be equal to 1

10 / 60

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

a. is usually x

b. independent variable

c. intervening variable

d. response, or dependent, variable

11 / 60

Which Statistical software come with appropriate table, graph, and/or chart-building
features to easily convert tabular data into a variety of formats.?

a. Excel

b. Access

c. Stata

d. Word, Excel

12 / 60

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

a. Constant

b. Zero

c. Positive

d. Negative

13 / 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

14 / 60

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

a. must also be in kilograms

b. must be in some unit of weight

c. cannot be in kilograms

d. can be any units

15 / 60

Computers are essential for quantitative data analysis because?

a. they are so powerful

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

c. they are fun to use.

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

16 / 60

The best fitting trend is one for which the sum of squares of error is?

a. Less than 1

b. Minimum (Least)

c. Maximum

d. Zero

17 / 60

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

a. parameter

b. independent variable

c. y intercept

d. slope of the line

18 / 60

The range of regression coefficient is:

a. -1 to +1

b. 0 to ∞

c. 0 to 1

d. -∞ to +∞

19 / 60

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

a. Correlation coefficient

b. Intercept

c. Slope

d. Regression equation

20 / 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. Minimum

c. Zero

d. Positive

21 / 60

The null hypothesis states the means are:

a. Alternative hypothesis

b. Not equal

c. Research hypothesis

d. Equal

22 / 60

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

a. -1 ≤ r

b. -1 ≤ r ≤ 1

c. r ≥ 1

d. 0 ≤ r ≤ 1

23 / 60

Scatter diagram helps us to :

a. Compute the extent of correlation between two variables

b. Obtain the mathematical relationship between two variables

c. Calculate slop

d. Find the nature correlation between two variables

24 / 60

The predicted rate of response of the dependent variable to changes in the independent variable
is called:

a. Slope

b. Regression equation

c. Intercept

d. Error

25 / 60

An r value of 0.80 indicates:

a. No linear correlation

b. Strong linear correlation

c. Correlation but not linear

d. Perfect linear correlation

26 / 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 decrease as the values of the other variable increase.

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

27 / 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. Minimum

b. Unknown

c. Zero

d. Maximum

28 / 60

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

a. -1 and +1

b.  -0-.5 and +0.5

c. -1 and 0

d. 0 and 1

29 / 60

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

a. 30%

b. 9%

c. 10%

d. 70%

30 / 60

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

a. Slope and Regression coefficient

b. Intercept

c. Regression coefficient

d. Slope

31 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Residual

c. Scatter diagram

d. Non linear relationship

32 / 60

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

a. Pearson correlation coefficient

b. β

c. analysis of variance

d. significance level

33 / 60

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

a. 2

b. 0

c. 1

d. 3

34 / 60

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

a. can be zero

b. can be either negative or positive

c. must also be positive

d. can not be zero

35 / 60

A perfect positive correlation is signified by:

a. 0

b. -1

c. +1

d. -1 to +1

36 / 60

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

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

b. The sample result is between this interval

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

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

37 / 60

The correlation coefficient is used to determine:

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

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

c. The estimation parameter

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

38 / 60

Scatter diagram is considered for measuring :

a. Curvilinear relationship between two variables

b. Predict dependent variable

c. Predict independent variable

d. Linear relationship between two variables

39 / 60

The dependent variable is also called except one:

a. Explained variable

b. Regressand variable

c. Independent variable

d. Predictand variable

40 / 60

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

a. Negative

b. Strong

c. Positive

d. Zero

41 / 60

To compare two means we use:

a. Chi-squared test

b. F-test

c. Oneway ANOVA

d. t-test

42 / 60

To investigate the association between two categorical variables we use:

a. z-test

b. t-test

c. Chi-squared test

d. F-test

43 / 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

44 / 60

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

a. must be positive

b. is 0.6561

c. must be negative

d. could be either + 0.9 or – 0.9

45 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

46 / 60

The purpose of simple linear regression analysis is to:

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

b. Predict one variable from another variable

c. Obtain the expected value of the independent variable

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

47 / 60

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

a. Strong evidence to reject the null hypothesis

b. Statistically significant

c. Reject the null hypothesis

d. Fail to reject the null hypothesis

48 / 60

The coefficient of determination, r2, indicates:

a. The slope of the line of best fit

b. How closely the data fit a defined curve

c. The sum of the residuals from each data point

d. The linear relationship between two variables

49 / 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. Zero

b. Positive

c. Maximum

d. Minimum

50 / 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. Weak

d. Strong

51 / 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. 21

b. 19

c. 22

d. 20

52 / 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. 64%

c. 0.80%

d. 80%

53 / 60

The mean, median, mode and standard deviation are examples of:

a. Descriptive statistics

b. Linear regression statistics

c. Part of experimental studies

d. Inferential statistics

54 / 60

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

a. Estimates

b. Constants

c. Intercept and slope

d. Parameters

55 / 60

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

a. Result

b. Discussion

c. Introduction

d. Method

56 / 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

57 / 60

Inferential statistics are useful for:

a. Construct validity

b. Observing natural behavior

c. Determining the probability of something

d. Interviews

58 / 60

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

a. The format for referencing

b. Whether an abstract should be included

c. Oral presentation

d. The size of the study

59 / 60

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

a. Linear relationship

b. Nonlinear relationship

c. Linear positive

d. Linear negative

60 / 60

The slope of the regression line of Y on X is also called the:

a. Regression coefficient of Y on X

b. Regression coefficient of X on Y

c. Correlation coefficient of Y on X

d. Correlation coefficient of X on Y

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Statistique Et Méthodologie De La Recherche Test

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