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

Inferential statistics enable you to :

a. decide conducting interview

b. decide analysis data

c. decide conducting research

d. estimate population parameters.

2 / 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 Correlation

b. Sample size

c. Standard error of estimate

d. Coefficient of Determination

3 / 60

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

a. the central limit.

b. the mean of the means.

c. the standard error.

d. the expected value

4 / 60

The purpose of simple linear regression analysis is to:

a. Predict one variable from another variable

b. Obtain the expected value of the independent variable

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

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

5 / 60

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

a. Method

b. Introduction

c. Result

d. Discussion

6 / 60

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

a. can be either negative or positive

b. can be zero

c. can not be zero

d. must also be positive

7 / 60

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

a. Minimum (Least)

b. Zero

c. Maximum

d. Less than 1

8 / 60

A Type I error occurs when the null hypothesis is:

a. accepted but and research hypothesis is actually true.

b. Rejected and the research hypothesis is actually false.

c. accepted and null hypothesis is actually true.

d. rejected and null hypothesis is actually true.

9 / 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. Minimum

b. Maximum

c. Zero

d. Positive

10 / 60

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

a. 1

b. 3

c. 2

d. 0

11 / 60

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

a. a = b

b. b = 0

c. b ≠ 0

d. b = 1

12 / 60

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

a. -3.4

b. 3.4

c. -2.5

d. 2.5

13 / 60

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

a. Four

b. One

c. Three

d. Two

14 / 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

15 / 60

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

a. coefficient of determination

b. slope of the regression

c. standard error

d. mean square error

16 / 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. Word, Excel

b. Excel

c. Access

d. Stata

17 / 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 evidence that x causes a change in y

d. There is large correlation coefficient

18 / 60

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

a. Perfect correlation

b. Weak

c. Perfect negative

d. Strong

19 / 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

c. On a straight line directed from lower left to upper right

d. Under the line

20 / 60

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

a. the dependent variable

b. the independent variable

c. usually denoted by y

d. the slope

21 / 60

The term regression was used by:

a. Spearman

b. Newton

c. Pearson

d. Galton

22 / 60

A scatter plot?

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

b. Shows a continuous relationship between two variables over time

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

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

23 / 60

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

a. Reject the null hypothesis

b. Fail to reject the null hypothesis

c. No statistically significant

d. No evidence to reject the null hypothesis

24 / 60

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

a. Data mapping

b. Data trending

c. Data analysis

d. Data mining

25 / 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

26 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Same

b. Negative

c. Positive

d. Different

27 / 60

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

a. Slope and Regression coefficient

b. Regression coefficient

c. Intercept

d. Slope

28 / 60

When regression line passes through the origin, then:

a. Association is zero

b. Correlation is zero

c. Intercept is zero

d. Regression coefficient is zero

29 / 60

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

a. analysis of variance

b. β

c. Pearson correlation coefficient

d. significance level

30 / 60

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

a. R2

b. The p-value

c. The f-value

d. The t-value

31 / 60

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

a. Correlation coefficient of X on Y

b. Correlation coefficient of Y on X

c. Regression coefficient of Y on X

d. Regression coefficient of X on Y

32 / 60

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

a. Zero

b. One

c. Negative

d. Positive

33 / 60

R2 is used in regression analysis to:

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

b. Estimate correlation

c. Measure model fit

d. To determine how well the model works

34 / 60

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

a. Correlation analysis

b. Inference

c. Regression analysis

d. Partial correlation analysis

35 / 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

36 / 60

The range of regression coefficient is:

a. 0 to ∞

b. -∞ to +∞

c. -1 to +1

d. 0 to 1

37 / 60

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

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

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

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

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

38 / 60

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

a. Linear negative

b. Linear relationship

c. Linear positive

d. Nonlinear relationship

39 / 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. statistical thinking.

b. statistical analysis.

c. descriptive statistics.

d. Simple random sampling

40 / 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. Correlation coefficient cannot have this value

d. The relationship between two variables is weak.

41 / 60

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

a. Negative

b. Zero

c. Constant

d. Positive

42 / 60

To investigate the association between two categorical variables we use:

a. F-test

b. z-test

c. Chi-squared test

d. t-test

43 / 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

44 / 60

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

a. -1 to 0

b. 0 to +1

c. -1 to +1

d. 1 to infinity

45 / 60

A perfect positive correlation is signified by:

a. +1

b. 0

c. -1 to +1

d. -1

46 / 60

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

a. r

b. -1

c. 0

d. +1

47 / 60

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

a. Correlated statistics

b. Regression statistics

c. Inferential statistics

d. Descriptive statistics

48 / 60

The value we would predict for the dependent variable when the independent variables are all
equal to zero is called:

a. Intercept

b. Difficult to tell

c. Slope

d. Sum of residual

49 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are equal

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

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

d. both are unrelated

50 / 60

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

a. must be positive

b. must be negative

c. could be either + 0.9 or – 0.9

d. is 0.6561

51 / 60

Correlation analysis is used to:

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

b. Analyse data

c. Measure the strength of association between two variables

d. Predict values of y based on values of x

52 / 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. Maximum

b. Minimum

c. Zero

d. Unknown

53 / 60

In descriptive statistics our main objective is to:

a. Infer something about the population

b. Describe the population

c. Describe the data we collected

d. Draw conclusion

54 / 60

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

a. as x increases y decreases

b. as x increases y increases

c. as x decrease y decreases

d. as x decrease y increases

55 / 60

Correlation analysis aims at :

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

b. Measuring the extent of relation between two variables

c. Investigate cause of outcome

d. Establishing relation between two variables

56 / 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 positive

b. Negative

c. Perfect negative

d. Zero

57 / 60

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

a. the findings can be generalized to other social phenomena

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

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

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

58 / 60

A scatterplot is a ?

a. two-dimensional graph of a straight line.

b. two-dimensional graph of a curved line.

c. one-dimensional graph of randomly scattered data.

d. two-dimensional graph of data values.

59 / 60

The regression equation always passes through:

a. mean X, Mean Y

b. (X, Y)

c. Mean X

d. (a, b)

60 / 60

Inferential statistics enable you to (Except one):

a. decide if your research results are meaningful.

b. estimate population parameters.

c. decide if the null hypothesis is false

d. decide if the research hypothesis is true

Your score is

The average score is 86%

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Statistique Et Méthodologie De La Recherche Test

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