Statistique Et Méthodologie De La Recherche Test

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1 / 60

When regression line passes through the origin, then:

a. Association is zero

b. Regression coefficient is zero

c. Correlation is zero

d. Intercept is zero

2 / 60

The coefficient of determination, r2, indicates:

a. The linear relationship between two variables

b. The slope of the line of best fit

c. The sum of the residuals from each data point

d. How closely the data fit a defined curve

3 / 60

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

a. 10%

b. 9%

c. 30%

d. 70%

4 / 60

To investigate the association between two categorical variables we use:

a. z-test

b. t-test

c. F-test

d. Chi-squared test

5 / 60

Scatter diagram helps us to :

a. Calculate slop

b. Find the nature correlation between two variables

c. Obtain the mathematical relationship between two variables

d. Compute the extent of correlation between two variables

6 / 60

The coefficient of determination (r2) is

a. 100%

b. the correlation coefficient squared

c. the square root of the correlation coefficient

d. usually less than zero

7 / 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 negative

b. Perfect positive

c. Negative

d. Zero

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

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

a. is 0.6561

b. must be negative

c. must be positive

d. could be either + 0.9 or – 0.9

10 / 60

The total variation explained by a regression model is given by:

a. The p-value

b. R2

c. The t-value

d. The f-value

11 / 60

To compare three independent means we use:

a. Oneway ANOVA

b. Chi-squared test

c. t-test

d. F-test

12 / 60

If there is a very strong correlation between two variables then the correlation coefficient must
be:

a. any value larger than 1

b. much smaller than 0, if the correlation is negative

c. much larger than 0, regardless of whether the correlation is negative or positive

d. less than zero

13 / 60

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

a. Regression coefficient

b. Slope and Regression coefficient

c. Slope

d. Intercept

14 / 60

The null hypothesis states the means are:

a. Not equal

b. Research hypothesis

c. Alternative hypothesis

d. Equal

15 / 60

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

a. parameter

b. slope of the line

c. y intercept

d. independent variable

16 / 60

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

a. Perfect negative

b. Perfect correlation

c. Strong

d. Weak

17 / 60

Which of the following are examples of continuous variables?

a. Number of children

b. Birth weight of babies

c. Age in year

d. Distance between

18 / 60

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

a. Minimum (Least)

b. Less than 1

c. Zero

d. Maximum

19 / 60

A scatter plot?

a. Shows a continuous relationship between two variables over time

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

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

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

20 / 60

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

a. Same direction

b. Opposite direction

c. Upward direction

d. Downward direction

21 / 60

Computers are essential for quantitative data analysis because?

a. they are fun to use.

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

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

d. they are so powerful

22 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Different

b. Same

c. Positive

d. Negative

23 / 60

The purpose of simple linear regression analysis is to:

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

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

c. Predict one variable from another variable

d. Obtain the expected value of the independent variable

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 = -1

c. r = +1

d. r ≥ 0

25 / 60

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

a. Intercept

b. Regression equation

c. Slope

d. Correlation coefficient

26 / 60

Inferential statistics enable you to :

a. decide conducting interview

b. decide conducting research

c. estimate population parameters.

d. decide analysis data

27 / 60

If the two series move in reverse directions and the variations in their values are always proportionate, it is said to be:

a. Negative correlation

b. Positive correlation

c. Perfect negative correlation

d. Perfect positive correlation

28 / 60

Quantitative data refers to:

a. statistical analysis

b. graphs and tables.

c. any data you present in your report

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

29 / 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. 80%

b. 0.64%

c. 64%

d. 0.80%

30 / 60

A discrete variable is:

a. Can have two values

b. Can assume only whole number values

c. Can assume only certain clearly separated values

d. An example of a qualitative variable

31 / 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 Determination

b. Coefficient of Correlation

c. Standard Error or Estimate

d. Coefficient of Skewness

32 / 60

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

a. Inferential statistics

b. Descriptive statistics

c. Part of experimental studies

d. Linear regression statistics

33 / 60

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

a. the standard error.

b. the mean of the means.

c. the expected value

d. the central limit.

34 / 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

35 / 60

Relationship between correlation coefficient and coefficient of determination is that?

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

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

c. both are unrelated

d. both are equal

36 / 60

The straight line graph of the linear equation Y = a + bX, slope will be downward If:

a. b ≠ 0

b. b smaller than 0

c. b = 0

d. b larger than 0

37 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Explained variable

c. Regressand variable

d. Independent variable

38 / 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

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

c. the values of both variables are always positive.

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

40 / 60

Scatter diagram is considered for measuring :

a. Linear relationship between two variables

b. Predict dependent variable

c. Curvilinear relationship between two variables

d. Predict independent variable

41 / 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. 20

d. 22

42 / 60

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

a. the findings can be generalized to other social phenomena

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

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

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

43 / 60

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

a. 0.25

b. 0.10

c. 2.50

d. 1.00

44 / 60

Correlation and regression are concerned with ?

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

b. the relationship between two quantitative variables.

c. the relationship between two categorical variables.

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

45 / 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

46 / 60

Which of these is not one of the four main reasons for missing data?

a. The analyst ignored its presence on the data form.

b. The respondent did not know the answer or did not have an opinion

c. The data was not required from the respondent, perhaps because of a skip generated by a filter question in a survey

d. The respondent may have missed a question by mistake.

47 / 60

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

a. -2.5

b. -3.4

c. 2.5

d. 3.4

48 / 60

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

a. Scatter diagram

b. Histogram

c. Pie diagram

d. Historigram

49 / 60

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

a. Data analysis

b. Data trending

c. Data mining

d. Data mapping

50 / 60

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

a. Estimates

b. Constants

c. Parameters

d. Intercept and slope

51 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Scatter diagram

c. Residual

d. Non linear relationship

52 / 60

Inferential statistics enable you to :

a. calculate sample size.

b. estimate sample size

c. decide collecting data

d. decide if the research hypothesis is true

53 / 60

Inferential statistics are useful for:

a. Construct validity

b. Determining the probability of something

c. Observing natural behavior

d. Interviews

54 / 60

Inferential statistics enable you to (Except one):

a. estimate population parameters.

b. decide if your research results are meaningful.

c. decide if the null hypothesis is false

d. decide if the research hypothesis is true

55 / 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

56 / 60

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

a. 0

b. 1

c. 3

d. 2

57 / 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. The correlation coefficient is 0.39 also

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

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

d. The relationship between two variables is negative

58 / 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

59 / 60

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

a. can be zero

b. can not be zero

c. must also be positive

d. can be either negative or positive

60 / 60

A perfect positive correlation is signified by:

a. +1

b. -1

c. -1 to +1

d. 0

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Statistique Et Méthodologie De La Recherche Test

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