Statistique Et Méthodologie De La Recherche Test

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You will have 60 minutes to complete all the questions. After the timer reaches 60 minutes, the exam will end and be saved automatically. Good luck! *Fingers crossed*

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1 / 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. The slope of the line of best fit

d. How closely the data fit a defined curve

2 / 60

Internal “validity” refers to:

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

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

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

d. how accurately the measurements represent underlying concepts.

3 / 60

The regression equation always passes through:

a. mean X, Mean Y

b. (a, b)

c. Mean X

d. (X, Y)

4 / 60

Computers are essential for quantitative data analysis because?

a. they are so powerful

b. they are fun to use.

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

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

5 / 60

The term regression was used by:

a. Galton

b. Newton

c. Spearman

d. Pearson

6 / 60

In simple linear regression, the numbers of unknown constants are:

a. Four

b. Two

c. Three

d. One

7 / 60

A t-test is used to compare:

a. 5 means

b. 3 means

c. 4 means

d. 2 means

8 / 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

9 / 60

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

a. Strong evidence to reject the null hypothesis

b. Reject the null hypothesis

c. Fail to reject the null hypothesis

d. Statistically significant

10 / 60

A scatter plot?

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

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

c. Shows a continuous relationship between two variables over time

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

11 / 60

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

a. Negative

b. Constant

c. Zero

d. Positive

12 / 60

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

a. slope of the line

b. independent variable

c. y intercept

d. parameter

13 / 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. Coefficient of Skewness

d. Standard Error or Estimate

14 / 60

Correlation analysis is used to:

a. Measure the strength of association between two variables

b. Analyse data

c. Simultaneously compare the effect of multiple independent variables on a dependent variable

d. Predict values of y based on values of x

15 / 60

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

a. b smaller than 0

b. b = 0

c. b ≠ 0

d. b larger than 0

16 / 60

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

a. 0 and 1

b. -1 and 0

c.  -0-.5 and +0.5

d. -1 and +1

17 / 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. Zero

d. Negative

18 / 60

In correlation both variables are always?

a. Random

b. Non Random

c. same

d. different

19 / 60

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

a. Weak

b. Strong

c. Perfect negative

d. Perfect correlation

20 / 60

The arithmetic mean of the two regression coefficients is greater than or equal to:

a. 0

b. r

c. -1

d. +1

21 / 60

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

a. Reject the null hypothesis

b. No evidence to reject the null hypothesis

c. No statistically significant

d. Fail to reject the null hypothesis

22 / 60

The purpose of simple linear regression analysis is to:

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

b. Obtain the expected value of the independent variable

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

d. Predict one variable from another variable

23 / 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

24 / 60

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

a. the dependent variable

b. usually denoted by y

c. the independent variable

d. the slope

25 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Negative

b. Same

c. Different

d. Positive

26 / 60

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

a. Slope

b. Regression equation

c. Error

d. Intercept

27 / 60

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

a. Data analysis

b. Data mapping

c. Data trending

d. Data mining

28 / 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. Unknown

b. Minimum

c. Maximum

d. Zero

29 / 60

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

a. Positive

b. Zero

c. One

d. Negative

30 / 60

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

a. Independent variable

b. X-intercept

c. Y-intercept

d. Dependent variable

31 / 60

An r value of 0.80 indicates:

a. Correlation but not linear

b. Perfect linear correlation

c. Strong linear correlation

d. No linear correlation

32 / 60

Which of the following are examples of continuous variables?

a. Birth weight of babies

b. Distance between

c. Number of children

d. Age in year

33 / 60

If two variables, x and y, have a very strong linear relationship, then:

a. there is evidence that y causes a change in x

b. there might not be any causal relationship between x and y

c. There is large correlation coefficient

d. there is evidence that x causes a change in y

34 / 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 1.

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

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

35 / 60

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

a. R2

b. The f-value

c. The p-value

d. The t-value

36 / 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%

37 / 60

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

a. must also be positive

b. can not be zero

c. can be either negative or positive

d. can be zero

38 / 60

A Type I error occurs when the null hypothesis is:

a. accepted and null hypothesis is actually true.

b. accepted but and research hypothesis is actually true.

c. rejected and null hypothesis is actually true.

d. Rejected and the research hypothesis is actually false.

39 / 60

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

a. 13

b. 17

c. 4

d. 21

40 / 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. ANCOVA

b. Chi-square

c. ANOVA

d. The dependent samples t-test

41 / 60

The coefficient of determination (r2) is

a. the square root of the correlation coefficient

b. 100%

c. the correlation coefficient squared

d. usually less than zero

42 / 60

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

a. Parameters

b. Intercept and slope

c. Constants

d. Estimates

43 / 60

The straight line graph of the linear equation Y = a + bX, slope is horizontal if:

a. b = 0

b. a = b

c. b ≠ 0

d. b = 1

44 / 60

A qualitative variable:

a. Has many outcomes

b. Has only two possible outcomes

c. Is not numeric

d. Always refers to a sample

45 / 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. Word, Excel

c. Excel

d. Stata

46 / 60

R2 is used in regression analysis to:

a. Measure model fit

b. Estimate correlation

c. To determine how well the model works

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

47 / 60

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

a. Descriptive statistics

b. Correlated statistics

c. Inferential statistics

d. Regression statistics

48 / 60

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

a. 1

b. 5

c. 0.5

d. 0

49 / 60

The difference between regression analysis and correlation analysis is (except one):

a. Regression enables prediction of the dependent variable

b. Regression provides measures of association in units of the variable being measured

c. Correlation is the same as regression

d. Regression estimates the line of best fit through the data

50 / 60

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

a. Positive

b. Zero

c. Weak

d. Negative

51 / 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.

52 / 60

Which of the following statements is true regarding a sample?

a. It must contain at least five observations

b. It is a part of population

c. It refers to descriptive statistics

d. It refers to estimation

53 / 60

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

a. Strong

b. Negative

c. Zero

d. Positive

54 / 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 sample size

c. the correlation model

d. the regression model

55 / 60

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

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

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

c. the findings can be generalized to other social phenomena

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

56 / 60

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

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

b. The relationship between two variables is strong and positive

c. The relationship between two variables is weak.

d. Correlation coefficient cannot have this value

57 / 60

Scatter diagram helps us to :

a. Compute the extent of correlation between two variables

b. Find the nature correlation between two variables

c. Obtain the mathematical relationship between two variables

d. Calculate slop

58 / 60

When the ratio of variations in the related variables is constant, it is called:

a. Linear correlation

b. Nonlinear correlation

c. Negative correlation

d. Positive correlation

59 / 60

Which of the following statements regarding a researcher’s use of inferential statistics is
true?

a. We usually need to take several samples to obtain a good estimate of the population values.

b. Descriptive statistics from a sample are used to estimate the characteristics of the population.

c. It is best to measure every member of a population if possible

d. A random sample provides a perfect estimate of the population values.

60 / 60

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

a. as x decrease y increases

b. as x increases y increases

c. as x increases y decreases

d. as x decrease y decreases

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Statistique Et Méthodologie De La Recherche Test

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