Statistique Et Méthodologie De La Recherche Test

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1 / 60

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

a. Fail to reject the null hypothesis

b. No statistically significant

c. No evidence to reject the null hypothesis

d. Reject the null hypothesis

2 / 60

A t-test is used to compare:

a. 3 means

b. 2 means

c. 5 means

d. 4 means

3 / 60

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

a. could be either + 0.9 or – 0.9

b. must be positive

c. is 0.6561

d. must be negative

4 / 60

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

a. Correlation coefficient of Y on X

b. Regression coefficient of Y on X

c. Regression coefficient of X on Y

d. Correlation coefficient of X on Y

5 / 60

Internal “validity” refers to:

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

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

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

d. how accurately the measurements represent underlying concepts.

6 / 60

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

a. -1 to 0

b. -1 to +1

c. 0 to +1

d. 1 to infinity

7 / 60

Which of the following statements is true regarding a sample?

a. It refers to estimation

b. It is a part of population

c. It must contain at least five observations

d. It refers to descriptive statistics

8 / 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. Statistically significant

d. Strong evidence to reject the null hypothesis

9 / 60

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

a. Sum of residual

b. Slope

c. Intercept

d. Difficult to tell

10 / 60

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

a. less than zero

b. any value larger than 1

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

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

11 / 60

Scatter diagram is considered for measuring :

a. Linear relationship between two variables

b. Curvilinear relationship between two variables

c. Predict dependent variable

d. Predict independent variable

12 / 60

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

a. must also be in kilograms

b. cannot be in kilograms

c. must be in some unit of weight

d. can be any units

13 / 60

The term regression was used by:

a. Newton

b. Galton

c. Spearman

d. Pearson

14 / 60

A Type I error occurs when the null hypothesis is:

a. accepted but and research hypothesis is actually true.

b. rejected and null hypothesis is actually true.

c. Rejected and the research hypothesis is actually false.

d. accepted and null hypothesis is actually true.

15 / 60

The coefficient of correlation

a. can never be positive

b. can never be negative

c. is the coefficient of determination squared

d. is the square root of the coefficient of determination

16 / 60

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

a. slope of the line

b. y intercept

c. parameter

d. independent variable

17 / 60

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

a. Four

b. Three

c. One

d. Two

18 / 60

The dependent variable is also called except one:

a. Independent variable

b. Regressand variable

c. Explained variable

d. Predictand variable

19 / 60

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

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

b. The sample result is between this interval

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

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

20 / 60

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

a. Cross-sectional study

b. Focus group

c. Randomized clinical trial

d. Case report

21 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. Correlation but not linear

c. No linear correlation

d. Perfect linear correlation

22 / 60

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

a. Perfect negative

b. Strong

c. Perfect correlation

d. Weak

23 / 60

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

a. Dependent

b. Independent and dependent

c. Difficult to tell

d. Independent

24 / 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. 20

b. 21

c. 19

d. 22

25 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x2

c. ŷ = b0 + b1x + b2x2

d. ŷ = b0 + b1x+b2

26 / 60

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

a. Positive

b. Zero

c. Negative

d. Strong

27 / 60

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

a. r ≥ 1

b. 0 ≤ r ≤ 1

c. -1 ≤ r ≤ 1

d. -1 ≤ r

28 / 60

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

a. Opposite direction

b. Downward direction

c. Same direction

d. Upward direction

29 / 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. +1

d. 0

30 / 60

The signs of regression coefficients and correlation coefficient are always:

a. Same

b. Different

c. Negative

d. Positive

31 / 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 is evidence that x causes a change in y

c. there might not be any causal relationship between x and y

d. There is large correlation coefficient

32 / 60

The coefficient of determination (r2) is

a. the correlation coefficient squared

b. the square root of the correlation coefficient

c. 100%

d. usually less than zero

33 / 60

Correlation and regression are concerned with ?

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

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

c. the relationship between two categorical variables.

d. the relationship between two quantitative variables.

34 / 60

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

a. as x increases y increases

b. as x decrease y decreases

c. as x increases y decreases

d. as x decrease y increases

35 / 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 Skewness

b. Coefficient of Correlation

c. Standard Error or Estimate

d. Coefficient of Determination

36 / 60

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

a. 0.10

b. 0.25

c. 2.50

d. 1.00

37 / 60

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

a. independent variable

b. response, or dependent, variable

c. intervening variable

d. is usually x

38 / 60

In regression analysis, the variable that is being predicted is

a. usually denoted by x

b. the independent variable

c. slope

d. the dependent variable

39 / 60

Inferential statistics enable you to (Except one):

a. decide if the null hypothesis is false

b. estimate population parameters.

c. decide if your research results are meaningful.

d. decide if the research hypothesis is true

40 / 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. Negative

d. Zero

41 / 60

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

a. Independent

b. Qualitative

c. Dependent

d. Correlation

42 / 60

The two forms of t-test are:

a. Bivariate and multiple

b. Factorial and interaction

c. One-way and two-way

d. Independent and dependent

43 / 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. Simple random sampling

b. statistical thinking.

c. statistical analysis.

d. descriptive statistics.

44 / 60

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

a. Perfect negative correlation

b. Perfect positive correlation

c. Negative correlation

d. Positive correlation

45 / 60

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

a. b = 0

b. b ≠ 0

c. b = 1

d. a = b

46 / 60

The coefficient of determination is the?

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

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

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

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

47 / 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

48 / 60

Inferential statistics enable you to :

a. decide conducting interview

b. decide analysis data

c. decide conducting research

d. estimate population parameters.

49 / 60

Inferential statistics are useful for:

a. Construct validity

b. Determining the probability of something

c. Observing natural behavior

d. Interviews

50 / 60

Which of the following are examples of continuous variables?

a. Distance between

b. Age in year

c. Birth weight of babies

d. Number of children

51 / 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 a relationship between the two variables

d. There is no relationship between the two variables

52 / 60

When regression line passes through the origin, then:

a. Intercept is zero

b. Correlation is zero

c. Association is zero

d. Regression coefficient is zero

53 / 60

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

a. -2.5

b. 2.5

c. 3.4

d. -3.4

54 / 60

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

a. Regression coefficient

b. Intercept

c. Slope

d. Slope and Regression coefficient

55 / 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. Measure model fit

c. To determine how well the model works

d. Estimate correlation

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. Zero

b. Perfect positive

c. Negative

d. Perfect negative

57 / 60

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

a. Data mapping

b. Data trending

c. Data mining

d. Data analysis

58 / 60

To compare two means we use:

a. Oneway ANOVA

b. t-test

c. F-test

d. Chi-squared test

59 / 60

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

a. Inferential statistics

b. Part of experimental studies

c. Descriptive statistics

d. Linear regression statistics

60 / 60

Correlation analysis aims at :

a. Measuring the extent of relation between two variables

b. Investigate cause of outcome

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

d. Establishing relation between two variables

Your score is

The average score is 83%

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Statistique Et Méthodologie De La Recherche Test

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