Statistique Et Méthodologie De La Recherche Test

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1 / 60

Inferential statistics are useful for:

a. Observing natural behavior

b. Construct validity

c. Interviews

d. Determining the probability of something

2 / 60

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

a. 9%

b. 70%

c. 30%

d. 10%

3 / 60

The coefficient of determination (r2) is

a. 100%

b. the square root of the correlation coefficient

c. the correlation coefficient squared

d. usually less than zero

4 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

5 / 60

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

a. Fail to reject the null hypothesis

b. Reject the null hypothesis

c. No evidence to reject the null hypothesis

d. No statistically significant

6 / 60

If one item is fixed and unchangeable and the other item varies, the correlation coefficient will be:

a. Positive

b. Negative

c. Zero

d. Undecided

7 / 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. the findings can be generalized to other social phenomena

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

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

8 / 60

In regression analysis, the variable that is being predicted is the:

a. response, or dependent, variable

b. is usually x

c. intervening variable

d. independent variable

9 / 60

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

a. Variables

b. Estimates

c. Random errors

d. Parameters

10 / 60

In descriptive statistics our main objective is to:

a. Infer something about the population

b. Draw conclusion

c. Describe the population

d. Describe the data we collected

11 / 60

Correlation analysis aims at :

a. Establishing relation between two variables

b. Investigate cause of outcome

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

d. Measuring the extent of relation between two variables

12 / 60

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

a. Inference

b. Regression analysis

c. Correlation analysis

d. Partial correlation analysis

13 / 60

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

a. Zero

b. Weak

c. Negative

d. Positive

14 / 60

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

a. Constants

b. Parameters

c. Intercept and slope

d. Estimates

15 / 60

A scatter plot?

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

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

c. Shows a continuous relationship between two variables over time

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

16 / 60

A discrete variable is:

a. Can assume only whole number values

b. An example of a qualitative variable

c. Can assume only certain clearly separated values

d. Can have two values

17 / 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

18 / 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. can be either negative or positive

d. must also be positive

19 / 60

If the value of any regression coefficient is zero, then two variables are:

a. Independent

b. Qualitative

c. Dependent

d. Correlation

20 / 60

When there is no linear correlation between two variables, what will the value of r be?

a. +1

b. 0

c. Negative number

d. -1

21 / 60

When correlation coefficient is 1, all the points in a scatter diagram would lie?

a. Under the line

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

c. On a straight line

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

22 / 60

Scatter diagram helps us to :

a. Find the nature correlation between two variables

b. Calculate slop

c. Obtain the mathematical relationship between two variables

d. Compute the extent of correlation between two variables

23 / 60

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

a. 2

b. 1

c. 3

d. 0

24 / 60

An r value of 0.80 indicates:

a. Perfect linear correlation

b. Correlation but not linear

c. No linear correlation

d. Strong linear correlation

25 / 60

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

a. 0 ≤ r ≤ 1

b. -1 ≤ r

c. -1 ≤ r ≤ 1

d. r ≥ 1

26 / 60

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

a. Scatter diagram

b. Pie diagram

c. Histogram

d. Historigram

27 / 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

28 / 60

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

a. A random sample provides a perfect 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. We usually need to take several samples to obtain a good estimate of the population values.

29 / 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

30 / 60

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

a. Perfect negative

b. Weak

c. Perfect correlation

d. Strong

31 / 60

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

a. Strong

b. Positive

c. Negative

d. Zero

32 / 60

To investigate the association between two categorical variables we use:

a. Chi-squared test

b. F-test

c. t-test

d. z-test

33 / 60

The coefficient of correlation

a. is the coefficient of determination squared

b. is the square root of the coefficient of determination

c. can never be negative

d. can never be positive

34 / 60

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

a. y intercept

b. parameter

c. independent variable

d. slope of the line

35 / 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. Zero

b. Minimum

c. Maximum

d. Positive

36 / 60

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

a. 1

b. 0

c. 5

d. 0.5

37 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Independent variable

c. Regressand variable

d. Explained variable

38 / 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 regression model

c. the correlation model

d. the sample size

39 / 60

The purpose of simple linear regression analysis is to:

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

b. Predict one variable from another variable

c. Obtain the expected value of the independent variable

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

40 / 60

If the Pearson Correlation Coefficient shows zero value, it means that:

a. There is a strong relationship between the two variables

b. There is a weak relationship between the two variables

c. There is no relationship between the two variables

d. There is a relationship between the two variables

41 / 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

42 / 60

If the value of regression coefficient is zero, then the two variable are called:

a. Independent

b. Independent and dependent

c. Dependent

d. Difficult to tell

43 / 60

A scatterplot is a ?

a. one-dimensional graph of randomly scattered data.

b. two-dimensional graph of a straight line.

c. two-dimensional graph of a curved line.

d. two-dimensional graph of data values.

44 / 60

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

a. parameter

b. slope of the line

c. independent variable

d. y intercept

45 / 60

If the coefficient of determination is equal to 1, then the correlation coefficient:

a. can be any value between -1 to +1

b. must be -1

c. can be either -1 or +1

d. must also be equal to 1

46 / 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

47 / 60

Relationship between correlation coefficient and coefficient of determination is that?

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

b. both are unrelated

c. both are equal

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

48 / 60

In correlation both variables are always?

a. different

b. Non Random

c. Random

d. same

49 / 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. Rejected and the research hypothesis is actually false.

d. accepted but and research hypothesis is actually true.

50 / 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

51 / 60

When regression line passes through the origin, then:

a. Regression coefficient is zero

b. Intercept is zero

c. Association is zero

d. Correlation is zero

52 / 60

The regression equation always passes through:

a. (a, b)

b. mean X, Mean Y

c. Mean X

d. (X, Y)

53 / 60

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

a. Linear relationship

b. Nonlinear relationship

c. Linear positive

d. Linear negative

54 / 60

Correlation and regression are concerned with ?

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

b. the relationship between two categorical variables.

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

d. the relationship between two quantitative variables.

55 / 60

To compare two means we use:

a. t-test

b. Oneway ANOVA

c. F-test

d. Chi-squared test

56 / 60

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

a. standard error

b. mean square error

c. coefficient of determination

d. slope of the regression

57 / 60

All data points falling along a straight line is called:

a. Non linear relationship

b. Residual

c. Scatter diagram

d. Linear relationship

58 / 60

Which of the following statements is false?

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

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 straight line.

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

59 / 60

Inferential statistics enable you to :

a. estimate sample size

b. calculate sample size.

c. decide if the research hypothesis is true

d. decide collecting data

60 / 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. Zero

b. Minimum

c. Maximum

d. Unknown

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Statistique Et Méthodologie De La Recherche Test

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