Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. as x increases y increases

b. as x increases y decreases

c. as x decrease y decreases

d. as x decrease y increases

2 / 60

A perfect positive correlation is signified by:

a. -1 to +1

b. -1

c. +1

d. 0

3 / 60

Correlation analysis is used to:

a. Predict values of y based on values of x

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

c. Analyse data

d. Measure the strength of association between two variables

4 / 60

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

a. -1 ≤ r

b. 0 ≤ r ≤ 1

c. -1 ≤ r ≤ 1

d. r ≥ 1

5 / 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 the research hypothesis is actually false.

d. rejected and null hypothesis is actually true.

6 / 60

Internal “validity” refers to:

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

b. how accurately the measurements represent underlying concepts.

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

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

7 / 60

A t-test is used to compare:

a. 5 means

b. 4 means

c. 3 means

d. 2 means

8 / 60

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

a. intervening variable

b. is usually x

c. independent variable

d. response, or dependent, variable

9 / 60

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

a. a = b

b. b ≠ 0

c. b = 1

d. b = 0

10 / 60

When regression line passes through the origin, then:

a. Correlation is zero

b. Intercept is zero

c. Association is zero

d. Regression coefficient is zero

11 / 60

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

a. Dependent

b. Independent

c. Independent and dependent

d. Difficult to tell

12 / 60

if the correlation coefficient r = 0.5 then the coefficient of determination is?

a. 1.00

b. 0.10

c. 0.25

d. 2.50

13 / 60

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

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

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

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

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

14 / 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. Is useful in comparing differences in magnitude of different variables

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

15 / 60

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

a. 4

b. 17

c. 21

d. 13

16 / 60

All data points falling along a straight line is called:

a. Scatter diagram

b. Non linear relationship

c. Residual

d. Linear relationship

17 / 60

In regression analysis, if the independent variable is measured in kilograms, the dependent
variable:

a. can be any units

b. must be in some unit of weight

c. must also be in kilograms

d. cannot be in kilograms

18 / 60

In descriptive statistics our main objective is to:

a. Describe the data we collected

b. Draw conclusion

c. Describe the population

d. Infer something about the population

19 / 60

If all the values fall on the same straight line and the line has a positive slope then what will be
the value of the correlation coefficient ‘r’:

a. 0 ≤ r ≤ 1

b. r = -1

c. r = +1

d. r ≥ 0

20 / 60

Inferential statistics are useful for:

a. Observing natural behavior

b. Interviews

c. Construct validity

d. Determining the probability of something

21 / 60

Which of the following statements is true regarding a sample?

a. It is a part of population

b. It refers to descriptive statistics

c. It must contain at least five observations

d. It refers to estimation

22 / 60

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

a. Discussion

b. Result

c. Introduction

d. Method

23 / 60

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

a. Minimum (Least)

b. Less than 1

c. Zero

d. Maximum

24 / 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. must also be positive

d. can not be zero

25 / 60

The mean, median, mode and standard deviation are examples of:

a. Linear regression statistics

b. Part of experimental studies

c. Descriptive statistics

d. Inferential statistics

26 / 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

27 / 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. 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

28 / 60

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

a. Qualitative

b. Dependent

c. Independent

d. Correlation

29 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Regressand variable

c. Explained variable

d. Independent variable

30 / 60

The coefficient of determination, r2, indicates:

a. The slope of the line of best fit

b. How closely the data fit a defined curve

c. The sum of the residuals from each data point

d. The linear relationship between two variables

31 / 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 negative

d. Linear positive

32 / 60

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

a. must be -1

b. must also be equal to 1

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

d. can be either -1 or +1

33 / 60

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

a. Positive

b. Negative

c. Zero

d. One

34 / 60

The coefficient of correlation

a. is the square root of the coefficient of determination

b. can never be positive

c. can never be negative

d. is the coefficient of determination squared

35 / 60

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

a. Regression coefficient

b. Intercept

c. Slope

d. Slope and Regression coefficient

36 / 60

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

a. Independent variable

b. Continuous variable

c. Dependent variable

d. Estimate

37 / 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 strong and but negative

c. Correlation coefficient cannot have this value

d. The relationship between two variables is weak.

38 / 60

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

a. 2

b. 0.2X

c. -0.2

d. -2

39 / 60

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

a. the central limit.

b. the expected value

c. the mean of the means.

d. the standard error.

40 / 60

In correlation both variables are always?

a. different

b. Non Random

c. same

d. Random

41 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Negative

b. Different

c. Same

d. Positive

42 / 60

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

a. Positive

b. Strong

c. Zero

d. Negative

43 / 60

Inferential statistics enable you to :

a. estimate population parameters.

b. decide conducting research

c. decide analysis data

d. decide conducting interview

44 / 60

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

a. must be negative

b. is 0.6561

c. could be either + 0.9 or – 0.9

d. must be positive

45 / 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. 0

c. -1

d. +1

46 / 60

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

a. slope of the regression

b. standard error

c. coefficient of determination

d. mean square error

47 / 60

A qualitative variable:

a. Always refers to a sample

b. Is not numeric

c. Has only two possible outcomes

d. Has many outcomes

48 / 60

Which of the following requirements for a scientific report writing may depend on your
institution (EXCEPT ONE)?

a. Whether an abstract should be included

b. The size of the study

c. Oral presentation

d. The format for referencing

49 / 60

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

a. less than zero

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

c. any value larger than 1

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

50 / 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. 20

c. 19

d. 22

51 / 60

The purpose of simple linear regression analysis is to:

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

b. Obtain the expected value of the independent variable

c. Predict one variable from another variable

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

52 / 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

53 / 60

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

a. +1

b. -1

c. r

d. 0

54 / 60

Inferential statistics enable you to :

a. estimate sample size

b. decide if the research hypothesis is true

c. decide collecting data

d. calculate sample size.

55 / 60

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

a. There is a relationship between the two variables

b. There is no relationship between the two variables

c. There is a strong relationship between the two variables

d. There is a weak relationship between the two variables

56 / 60

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

a. Focus group

b. Randomized clinical trial

c. Cross-sectional study

d. Case report

57 / 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. Excel

b. Stata

c. Access

d. Word, Excel

58 / 60

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

a. Fail to reject the null hypothesis

b. No evidence to reject the null hypothesis

c. Reject the null hypothesis

d. No statistically significant

59 / 60

In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:

a. the correlation model

b. used to compute the correlation coefficient

c. the sample size

d. the regression model

60 / 60

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

a. Nonlinear correlation

b. Positive correlation

c. Negative correlation

d. Linear correlation

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