Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. Data trending

b. Data analysis

c. Data mining

d. Data mapping

2 / 60

To compare three independent means we use:

a. F-test

b. t-test

c. Chi-squared test

d. Oneway ANOVA

3 / 60

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

a. Correlation coefficient

b. Slope

c. Regression equation

d. Intercept

4 / 60

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

a. 0 to +1

b. 1 to infinity

c. -1 to +1

d. -1 to 0

5 / 60

Inferential statistics enable you to :

a. decide if the research hypothesis is true

b. calculate sample size.

c. decide collecting data

d. estimate sample size

6 / 60

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

a. The t-value

b. The f-value

c. R2

d. The p-value

7 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide conducting interview

d. decide analysis data

8 / 60

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

a. 21

b. 13

c. 4

d. 17

9 / 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

10 / 60

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

a. 30%

b. 10%

c. 70%

d. 9%

11 / 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

12 / 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

13 / 60

Scatter diagram helps us to :

a. Obtain the mathematical relationship between two variables

b. Compute the extent of correlation between two variables

c. Calculate slop

d. Find the nature correlation between two variables

14 / 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. Zero

b. Negative

c. Perfect positive

d. Perfect negative

15 / 60

The two forms of t-test are:

a. One-way and two-way

b. Independent and dependent

c. Bivariate and multiple

d. Factorial and interaction

16 / 60

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

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

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

c. The respondent may have missed a question by mistake.

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

17 / 60

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

a. Zero

b. Negative

c. Strong

d. Positive

18 / 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. More than two variables

d. Two variables

19 / 60

The term regression was used by:

a. Newton

b. Spearman

c. Pearson

d. Galton

20 / 60

The correlation coefficient is used to determine:

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

b. The estimation parameter

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

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

21 / 60

In correlation both variables are always?

a. different

b. Non Random

c. same

d. Random

22 / 60

A qualitative variable:

a. Has only two possible outcomes

b. Always refers to a sample

c. Has many outcomes

d. Is not numeric

23 / 60

Inferential statistics enable you to (Except one):

a. estimate population parameters.

b. decide if the research hypothesis is true

c. decide if your research results are meaningful.

d. decide if the null hypothesis is false

24 / 60

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

a. can be zero

b. can be either negative or positive

c. must also be positive

d. can not be zero

25 / 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. Standard Error or Estimate

d. Coefficient of Skewness

26 / 60

Inferential statistics is a process that involves all of the following EXCEPT:

a. analyze relationships

b. test a hypothesis

c. Estimating a parameter

d. Estimating a statistic.

27 / 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.

28 / 60

Inferential statistics are useful for:

a. Determining the probability of something

b. Observing natural behavior

c. Construct validity

d. Interviews

29 / 60

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

a. Pearson correlation coefficient

b. β

c. analysis of variance

d. significance level

30 / 60

To compare two means we use:

a. t-test

b. F-test

c. Oneway ANOVA

d. Chi-squared test

31 / 60

Two variables have a positive association when?

a. the values of one variable tend to increase as the values of the other variable increase.

b. the values of one variable tend to increase irregard less of how the values of the other variable change.

c. the values of both variables are always positive.

d. the values of one variable tend to decrease as the values of the other variable increase.

32 / 60

R2 is used in regression analysis to:

a. Measure model fit

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

c. To determine how well the model works

d. Estimate correlation

33 / 60

What does it mean when you calculate a 95% confidence interval?

a. The sample result is between this interval

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

c. You can be “95% confident” that your interval will include the population parameter

d. The process you used will capture the true parameter 95% of the time in the long run

34 / 60

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

a. Case report

b. Randomized clinical trial

c. Focus group

d. Cross-sectional study

35 / 60

A Type I error occurs when the null hypothesis is:

a. rejected and null hypothesis is actually true.

b. accepted and null hypothesis is actually true.

c. accepted but and research hypothesis is actually true.

d. Rejected and the research hypothesis is actually false.

36 / 60

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

a. Positive

b. Minimum

c. Zero

d. Negative

37 / 60

A discrete variable is:

a. Can have two values

b. Can assume only whole number values

c. Can assume only certain clearly separated values

d. An example of a qualitative variable

38 / 60

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

a. Reject the null hypothesis

b. Fail to reject the null hypothesis

c. Strong evidence to reject the null hypothesis

d. Statistically significant

39 / 60

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

a. 3

b. 1

c. 2

d. 0

40 / 60

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

a. Zero

b. Positive

c. Negative

d. Undecided

41 / 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. 21

b. 22

c. 20

d. 19

42 / 60

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

a. The relationship between two variables is strong and positive

b. The relationship between two variables is weak.

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

d. Correlation coefficient cannot have this value

43 / 60

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

a. Correlation

b. Slope

c. Residual

d. Regression

44 / 60

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

a. Nonlinear correlation

b. Negative correlation

c. Linear correlation

d. Positive correlation

45 / 60

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

a. measure the difference between two variables.

b. assess whether two variables measure the same phenomenon.

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

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

46 / 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

47 / 60

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

a. Data promotion

b. Data presentation

c. Data analysis and interpretation

d. Data retrieval

48 / 60

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

a. 2

b. 0.2X

c. -2

d. -0.2

49 / 60

Correlation and regression are concerned with ?

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

b. the relationship between two quantitative variables.

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

d. the relationship between two categorical variables.

50 / 60

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

a. Slope

b. Intercept

c. Sum of residual

d. Difficult to tell

51 / 60

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

a. Estimates

b. Constants

c. Intercept and slope

d. Parameters

52 / 60

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

a. the independent variable

b. usually denoted by y

c. the slope

d. the dependent variable

53 / 60

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

a. b larger than 0

b. b ≠ 0

c. b = 0

d. b smaller than 0

54 / 60

If the correlation coefficient is 0.8, the percentage of variation in the response variable explained
by the variation in the explanatory variable is:

a. 0.80%

b. 64%

c. 80%

d. 0.64%

55 / 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. ANCOVA

c. The dependent samples t-test

d. ANOVA

56 / 60

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

a. Linear positive

b. Nonlinear relationship

c. Linear relationship

d. Linear negative

57 / 60

The coefficient of determination (r2) is

a. usually less than zero

b. the square root of the correlation coefficient

c. 100%

d. the correlation coefficient squared

58 / 60

A t-test is used to compare:

a. 2 means

b. 3 means

c. 5 means

d. 4 means

59 / 60

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

a. Discussion

b. Result

c. Method

d. Introduction

60 / 60

Let the coefficient of determination computed to be 0.39 in a problem involving one independent variable and one dependent variable. This result means that

a. The correlation coefficient is 0.39 also

b. 39% of the total variation is explained by the independent variable

c. 39% of the total variation is explained by the dependent variable

d. The relationship between two variables is negative

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Statistique Et Méthodologie De La Recherche Test

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