Statistique Et Méthodologie De La Recherche Test

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1 / 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 respondent may have missed a question by mistake.

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

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

2 / 60

Inferential statistics are useful for:

a. Determining the probability of something

b. Observing natural behavior

c. Construct validity

d. Interviews

3 / 60

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

a. Four

b. Two

c. One

d. Three

4 / 60

In descriptive statistics our main objective is to:

a. Infer something about the population

b. Describe the population

c. Draw conclusion

d. Describe the data we collected

5 / 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

6 / 60

Scatter diagram is considered for measuring :

a. Curvilinear relationship between two variables

b. Linear relationship between two variables

c. Predict independent variable

d. Predict dependent variable

7 / 60

A scatterplot is a ?

a. two-dimensional graph of a curved line.

b. one-dimensional graph of randomly scattered data.

c. two-dimensional graph of a straight line.

d. two-dimensional graph of data values.

8 / 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. Correlation coefficient cannot have this value

c. The relationship between two variables is strong and positive

d. The relationship between two variables is weak.

9 / 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 quantitative variables.

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

d. the relationship between two categorical variables.

10 / 60

Correlation analysis is used to:

a. Predict values of y based on values of x

b. Measure the strength of association between two variables

c. Analyse data

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

11 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Regressand variable

c. Independent variable

d. Explained variable

12 / 60

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

a. Intercept

b. Slope

c. Correlation coefficient

d. Regression equation

13 / 60

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

a. Nonlinear correlation

b. Positive correlation

c. Linear correlation

d. Negative correlation

14 / 60

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

a. Standard Error or Estimate

b. Coefficient of Determination

c. Coefficient of Correlation

d. Coefficient of Skewness

15 / 60

If there is a very strong correlation between two variables then the correlation coefficient must
be:

a. less than zero

b. much larger than 0, regardless of whether the correlation is negative or positive

c. much smaller than 0, if the correlation is negative

d. any value larger than 1

16 / 60

Relationship between correlation coefficient and coefficient of determination is that?

a. both are unrelated

b. both are equal

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

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

17 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Non linear relationship

c. Residual

d. Scatter diagram

18 / 60

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

a. The p-value

b. R2

c. The t-value

d. The f-value

19 / 60

Internal “validity” refers to:

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

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

c. how accurately the measurements represent underlying concepts.

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

20 / 60

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

a. 0

b. 1

c. 3

d. 2

21 / 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. 0.5

b. -1

c. 0

d. +1

22 / 60

Positive regression coefficient indicates that the movement of the variables are in:

a. Upward direction

b. Downward direction

c. Opposite direction

d. Same direction

23 / 60

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

a. Inference

b. Correlation analysis

c. Partial correlation analysis

d. Regression analysis

24 / 60

Which of the following statements is true regarding a sample?

a. It must contain at least five observations

b. It refers to estimation

c. It refers to descriptive statistics

d. It is a part of population

25 / 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. ANOVA

d. The dependent samples t-test

26 / 60

To investigate the association between two categorical variables we use:

a. Chi-squared test

b. t-test

c. F-test

d. z-test

27 / 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. Zero

c. Minimum

d. Negative

28 / 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

29 / 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

30 / 60

The term regression was used by:

a. Pearson

b. Newton

c. Spearman

d. Galton

31 / 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. 39% of the total variation is explained by the independent variable

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

c. The correlation coefficient is 0.39 also

d. The relationship between two variables is negative

32 / 60

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

a. Estimating a parameter

b. test a hypothesis

c. analyze relationships

d. Estimating a statistic.

33 / 60

The coefficient of determination is the?

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

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

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

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

34 / 60

In correlation both variables are always?

a. different

b. Random

c. same

d. Non Random

35 / 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

36 / 60

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

a. Independent

b. Dependent

c. Difficult to tell

d. Independent and dependent

37 / 60

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

a. Dependent

b. Qualitative

c. Correlation

d. Independent

38 / 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

39 / 60

The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

a. Standard error of estimate

b. Coefficient of Determination

c. Coefficient of Correlation

d. Sample size

40 / 60

To compare two means we use:

a. t-test

b. F-test

c. Oneway ANOVA

d. Chi-squared test

41 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide analysis data

c. decide conducting interview

d. decide conducting research

42 / 60

If the two series move in reverse directions and the variations in their values are always proportionate, it is said to be:

a. Positive correlation

b. Perfect negative correlation

c. Negative correlation

d. Perfect positive correlation

43 / 60

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

a. Data analysis

b. Data trending

c. Data mapping

d. Data mining

44 / 60

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

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

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

c. The sample result is between this interval

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

45 / 60

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

a. Zero

b. Constant

c. Positive

d. Negative

46 / 60

The coefficient of determination (r2) is

a. usually less than zero

b. 100%

c. the square root of the correlation coefficient

d. the correlation coefficient squared

47 / 60

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

a. 0

b. 0.5

c. 5

d. 1

48 / 60

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

a. X-intercept

b. Independent variable

c. Y-intercept

d. Dependent variable

49 / 60

Quantitative data refers to:

a. any data you present in your report

b. numerical data that could usefully be quantified to help you answer your research question(s) and to meet your objectives

c. statistical analysis

d. graphs and tables.

50 / 60

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

a. a = b

b. b = 1

c. b ≠ 0

d. b = 0

51 / 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

52 / 60

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

a. analysis of variance

b. Pearson correlation coefficient

c. significance level

d. β

53 / 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 regression model

d. the correlation model

54 / 60

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

a. 10%

b. 30%

c. 9%

d. 70%

55 / 60

Computers are essential for quantitative data analysis because?

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

b. they are fun to use.

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

d. they are so powerful

56 / 60

The correlation coefficient is used to determine:

a. The estimation parameter

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

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

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

57 / 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

58 / 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

59 / 60

The coefficient of determination, r2, indicates:

a. The linear relationship between two variables

b. How closely the data fit a defined curve

c. The sum of the residuals from each data point

d. The slope of the line of best fit

60 / 60

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

a. y intercept

b. parameter

c. slope of the line

d. independent variable

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Statistique Et Méthodologie De La Recherche Test

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