Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. analysis of variance

b. Pearson correlation coefficient

c. β

d. significance level

2 / 60

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

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

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

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

d. the findings can be generalized to other social phenomena

3 / 60

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

a. 1.00

b. 2.50

c. 0.10

d. 0.25

4 / 60

A t-test is used to compare:

a. 4 means

b. 3 means

c. 5 means

d. 2 means

5 / 60

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

a. Statistically significant

b. Strong evidence to reject the null hypothesis

c. Fail to reject the null hypothesis

d. Reject the null hypothesis

6 / 60

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

a. -1 ≤ r ≤ 1

b. r ≥ 1

c. -1 ≤ r

d. 0 ≤ r ≤ 1

7 / 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

8 / 60

A process by which we estimate the value of dependent variable on the basis of one or more
independent variables is called:

a. Residual

b. Slope

c. Regression

d. Correlation

9 / 60

A qualitative variable:

a. Always refers to a sample

b. Has many outcomes

c. Has only two possible outcomes

d. Is not numeric

10 / 60

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

a. Continuous variable

b. Independent variable

c. Estimate

d. Dependent variable

11 / 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

12 / 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

13 / 60

The coefficient of determination (r2) is

a. the correlation coefficient squared

b. usually less than zero

c. the square root of the correlation coefficient

d. 100%

14 / 60

The correlation coefficient is used to determine:

a. The estimation parameter

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

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

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

15 / 60

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

a. Estimates

b. Parameters

c. Intercept and slope

d. Constants

16 / 60

The purpose of simple linear regression analysis is to:

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

b. Predict one variable from another variable

c. Obtain the expected value of the independent variable

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

17 / 60

The coefficient of determination is the?

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

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

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

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

18 / 60

A discrete variable is:

a. Can assume only certain clearly separated values

b. Can have two values

c. Can assume only whole number values

d. An example of a qualitative variable

19 / 60

The term regression was used by:

a. Newton

b. Galton

c. Spearman

d. Pearson

20 / 60

To investigate the association between two categorical variables we use:

a. t-test

b. Chi-squared test

c. z-test

d. F-test

21 / 60

The coefficient of determination, r2, indicates:

a. How closely the data fit a defined curve

b. The sum of the residuals from each data point

c. The slope of the line of best fit

d. The linear relationship between two variables

22 / 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

23 / 60

A perfect positive correlation is signified by:

a. -1

b. +1

c. 0

d. -1 to +1

24 / 60

Scatter diagram helps us to :

a. Find the nature correlation between two variables

b. Obtain the mathematical relationship between two variables

c. Compute the extent of correlation between two variables

d. Calculate slop

25 / 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. 0

b. -1

c. 0.5

d. +1

26 / 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.

27 / 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. Chi-square

b. The dependent samples t-test

c. ANCOVA

d. ANOVA

28 / 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

29 / 60

R2 is used in regression analysis to:

a. Estimate correlation

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

c. Measure model fit

d. To determine how well the model works

30 / 60

Bivariate Data are the data collected for :

a. Two variables at different points of time.

b. Two variables at the same point of time

c. Two variables

d. More than two variables

31 / 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. Standard error of estimate

c. Coefficient of Correlation

d. Sample size

32 / 60

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

a. is 0.6561

b. must be positive

c. must be negative

d. could be either + 0.9 or – 0.9

33 / 60

The regression equation always passes through:

a. (X, Y)

b. Mean X

c. mean X, Mean Y

d. (a, b)

34 / 60

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

a. Minimum

b. Positive

c. Negative

d. Zero

35 / 60

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

a. Negative

b. Positive

c. Zero

d. Weak

36 / 60

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

a. Histogram

b. Scatter diagram

c. Pie diagram

d. Historigram

37 / 60

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

a. Same

b. Zero

c. Positive

d. Different

38 / 60

To compare two means we use:

a. Chi-squared test

b. t-test

c. Oneway ANOVA

d. F-test

39 / 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

40 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide conducting interview

d. decide analysis data

41 / 60

To compare three independent means we use:

a. Chi-squared test

b. t-test

c. Oneway ANOVA

d. F-test

42 / 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 respondent may have missed a question by mistake.

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

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

43 / 60

All data points falling along a straight line is called:

a. Scatter diagram

b. Linear relationship

c. Residual

d. Non linear relationship

44 / 60

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

a. 4

b. 17

c. 13

d. 21

45 / 60

Which of the following statements is true regarding a sample?

a. It refers to descriptive statistics

b. It refers to estimation

c. It must contain at least five observations

d. It is a part of population

46 / 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. Under the line

d. On a straight line

47 / 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. Negative

b. Zero

c. Perfect positive

d. Perfect negative

48 / 60

Which of the following statements is false?

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

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

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

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

49 / 60

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

a. 1 to infinity

b. -1 to +1

c. -1 to 0

d. 0 to +1

50 / 60

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

a. Regression equation

b. Slope

c. Intercept

d. Error

51 / 60

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

a. Data mining

b. Data mapping

c. Data analysis

d. Data trending

52 / 60

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

a. cannot be in kilograms

b. must also be in kilograms

c. can be any units

d. must be in some unit of weight

53 / 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. Negative correlation

c. Positive correlation

d. Perfect positive correlation

54 / 60

The coefficient of correlation

a. can never be positive

b. is the square root of the coefficient of determination

c. is the coefficient of determination squared

d. can never be negative

55 / 60

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

a. Zero

b. Minimum (Least)

c. Less than 1

d. Maximum

56 / 60

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

a. Randomized clinical trial

b. Cross-sectional study

c. Focus group

d. Case report

57 / 60

Inferential statistics enable you to :

a. decide collecting data

b. calculate sample size.

c. decide if the research hypothesis is true

d. estimate sample size

58 / 60

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

a. 70%

b. 10%

c. 30%

d. 9%

59 / 60

In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:

a. the sample size

b. used to compute the correlation coefficient

c. the correlation model

d. the regression model

60 / 60

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

a. the standard error.

b. the central limit.

c. the mean of the means.

d. the expected value

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Statistique Et Méthodologie De La Recherche Test

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