Statistique Et Méthodologie De La Recherche Test

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1 / 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

2 / 60

Because of the possibility of error in sampling from populations, researchers use:

a. Unbiased

b. Descriptive

c. Significance

d. Probability

3 / 60

A qualitative variable:

a. Always refers to a sample

b. Is not numeric

c. Has only two possible outcomes

d. Has many outcomes

4 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. No linear correlation

c. Perfect linear correlation

d. Correlation but not linear

5 / 60

In regression analysis, the variable that is doing the predicting or explaining is

a. usually denoted by y

b. the independent variable

c. the dependent variable

d. the slope

6 / 60

A perfect positive correlation is signified by:

a. -1

b. 0

c. -1 to +1

d. +1

7 / 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 directed from lower left to upper right

c. On a straight line

d. Under the line

8 / 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

9 / 60

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

a. Different

b. Zero

c. Same

d. Positive

10 / 60

Quantitative data refers to:

a. any data you present in your report

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

c. graphs and tables.

d. statistical analysis

11 / 60

Which of the following statements is true?

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

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

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

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

12 / 60

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

a. less than zero

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. any value larger than 1

13 / 60

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

a. Estimates

b. Parameters

c. Variables

d. Random errors

14 / 60

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

a. Slope and Regression coefficient

b. Regression coefficient

c. Intercept

d. Slope

15 / 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

16 / 60

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

a. 5

b. 1

c. 0

d. 0.5

17 / 60

Which of the following statements is true regarding a sample?

a. It must contain at least five observations

b. It refers to descriptive statistics

c. It refers to estimation

d. It is a part of population

18 / 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. Maximum

c. Unknown

d. Zero

19 / 60

A scatter plot?

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

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

c. Shows a continuous relationship between two variables over time

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

20 / 60

To investigate the association between two categorical variables we use:

a. z-test

b. Chi-squared test

c. F-test

d. t-test

21 / 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

22 / 60

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

a. Cross-sectional study

b. Case report

c. Randomized clinical trial

d. Focus group

23 / 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. 19

b. 21

c. 22

d. 20

24 / 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

25 / 60

In descriptive statistics our main objective is to:

a. Describe the population

b. Infer something about the population

c. Draw conclusion

d. Describe the data we collected

26 / 60

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

a. -0.2

b. 0.2X

c. -2

d. 2

27 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

28 / 60

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

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

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

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.

29 / 60

A scatterplot is a ?

a. two-dimensional graph of a curved line.

b. two-dimensional graph of a straight line.

c. one-dimensional graph of randomly scattered data.

d. two-dimensional graph of data values.

30 / 60

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

a. Slope

b. Regression equation

c. Correlation coefficient

d. Intercept

31 / 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. Access

b. Excel

c. Stata

d. Word, Excel

32 / 60

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

a. 4

b. 13

c. 17

d. 21

33 / 60

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

a. Negative

b. Zero

c. One

d. Positive

34 / 60

Which of the following statements is false?

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

b. The coefficient of determination is the variation in y explained by variation in x, divided by the total variation in y.

c. The coefficient of determination can be applied to any curve.

d. The coefficient of determination can be applied to any straight line.

35 / 60

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

a. parameter

b. y intercept

c. independent variable

d. slope of the line

36 / 60

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

a. assess whether two variables measure the same phenomenon.

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

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

d. measure the difference between two variables.

37 / 60

The coefficient of determination is the?

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

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

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

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

38 / 60

The coefficient of determination, r2, indicates:

a. The slope of the line of best fit

b. The linear relationship between two variables

c. The sum of the residuals from each data point

d. How closely the data fit a defined curve

39 / 60

In regression analysis, the variable that is being predicted is

a. slope

b. the dependent variable

c. the independent variable

d. usually denoted by x

40 / 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

41 / 60

Computers are essential for quantitative data analysis because?

a. they are so powerful

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

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

d. they are fun to use.

42 / 60

A Type I error occurs when the null hypothesis is:

a. accepted and null hypothesis is actually true.

b. rejected and null hypothesis is actually true.

c. accepted but and research hypothesis is actually true.

d. Rejected and the research hypothesis is actually false.

43 / 60

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

a. Discussion

b. Method

c. Result

d. Introduction

44 / 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. +1

b. 0.5

c. 0

d. -1

45 / 60

Scatter diagram helps us to :

a. Find the nature correlation between two variables

b. Calculate slop

c. Compute the extent of correlation between two variables

d. Obtain the mathematical relationship between two variables

46 / 60

All data points falling along a straight line is called:

a. Non linear relationship

b. Linear relationship

c. Scatter diagram

d. Residual

47 / 60

The two forms of t-test are:

a. Factorial and interaction

b. Independent and dependent

c. One-way and two-way

d. Bivariate and multiple

48 / 60

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

a. coefficient of determination

b. mean square error

c. slope of the regression

d. standard error

49 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x + b2x2

c. ŷ = b0 + b1x2

d. ŷ = b0 + b1x+b2

50 / 60

The step in the data analysis process is (EXCEPT ONE):

a. Data promotion

b. Data analysis and interpretation

c. Data presentation

d. Data retrieval

51 / 60

A statistical technique that develops an equation that relates a dependent variable to one or
more independent variables is called:

a. Regression analysis

b. Partial correlation analysis

c. Inference

d. Correlation analysis

52 / 60

Correlation and regression are concerned with ?

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

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

c. the relationship between two categorical variables.

d. the relationship between two quantitative variables.

53 / 60

The null hypothesis states the means are:

a. Equal

b. Not equal

c. Research hypothesis

d. Alternative hypothesis

54 / 60

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

a. Positive

b. Zero

c. Negative

d. Constant

55 / 60

Scatter diagram is considered for measuring :

a. Predict independent variable

b. Curvilinear relationship between two variables

c. Predict dependent variable

d. Linear relationship between two variables

56 / 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

57 / 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. descriptive statistics.

b. statistical thinking.

c. Simple random sampling

d. statistical analysis.

58 / 60

The regression equation always passes through:

a. (a, b)

b. (X, Y)

c. Mean X

d. mean X, Mean Y

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

d. The sample result is between this interval

60 / 60

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

a. The relationship between two variables is strong and positive

b. Correlation coefficient cannot have this value

c. The relationship between two variables is weak.

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

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Statistique Et Méthodologie De La Recherche Test

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