Statistique Et Méthodologie De La Recherche Test

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You will have 60 minutes to complete all the questions. After the timer reaches 60 minutes, the exam will end and be saved automatically. Good luck! *Fingers crossed*

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1 / 60

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

a. Histogram

b. Scatter diagram

c. Historigram

d. Pie diagram

2 / 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.

3 / 60

In regression analysis, the variable that is being predicted is

a. usually denoted by x

b. the dependent variable

c. slope

d. the independent variable

4 / 60

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

a. Difficult to tell

b. Dependent

c. Independent and dependent

d. Independent

5 / 60

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

a. b = 0

b. b larger than 0

c. b smaller than 0

d. b ≠ 0

6 / 60

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

a. Data mapping

b. Data analysis

c. Data trending

d. Data mining

7 / 60

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

a. Four

b. One

c. Two

d. Three

8 / 60

Correlation analysis is used to:

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

b. Analyse data

c. Measure the strength of association between two variables

d. Predict values of y based on values of x

9 / 60

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

a. -1 ≤ r ≤ 1

b. 0 ≤ r ≤ 1

c. r ≥ 1

d. -1 ≤ r

10 / 60

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

a. 3.4

b. -3.4

c. -2.5

d. 2.5

11 / 60

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

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

b. measure the difference between two variables.

c. assess whether two variables measure the same phenomenon.

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

12 / 60

The predicted rate of response of the dependent variable to changes in the independent variable
is called:

a. Slope

b. Error

c. Intercept

d. Regression equation

13 / 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. Unknown

c. Minimum

d. Maximum

14 / 60

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

a. The size of the study

b. Whether an abstract should be included

c. The format for referencing

d. Oral presentation

15 / 60

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

a. 0 to +1

b. -1 to 0

c. 1 to infinity

d. -1 to +1

16 / 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. must be negative

d. is 0.6561

17 / 60

Inferential statistics are useful for:

a. Observing natural behavior

b. Determining the probability of something

c. Interviews

d. Construct validity

18 / 60

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

a. Correlation coefficient of X on Y

b. Regression coefficient of Y on X

c. Regression coefficient of X on Y

d. Correlation coefficient of Y on X

19 / 60

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

a. 13

b. 17

c. 4

d. 21

20 / 60

Which of the following statements is false?

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

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

c. The coefficient of determination is the variation in y explained by variation in x, divided by the total variation in y.

d. The coefficient of determination can be applied to any straight line.

21 / 60

Quantitative data refers to:

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

b. any data you present in your report

c. statistical analysis

d. graphs and tables.

22 / 60

Two variables have a positive association when?

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

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

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.

23 / 60

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

a. Focus group

b. Cross-sectional study

c. Randomized clinical trial

d. Case report

24 / 60

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

a. can not be zero

b. can be zero

c. must also be positive

d. can be either negative or positive

25 / 60

The coefficient of correlation

a. can never be negative

b. is the coefficient of determination squared

c. is the square root of the coefficient of determination

d. can never be positive

26 / 60

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

a. 0

b. 1

c. 5

d. 0.5

27 / 60

When regression line passes through the origin, then:

a. Regression coefficient is zero

b. Correlation is zero

c. Association is zero

d. Intercept is zero

28 / 60

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

a. Upward direction

b. Same direction

c. Downward direction

d. Opposite direction

29 / 60

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

a. Zero

b. Negative

c. Positive

d. One

30 / 60

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

a. Dependent

b. Qualitative

c. Correlation

d. Independent

31 / 60

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

a. Linear negative

b. Linear relationship

c. Nonlinear relationship

d. Linear positive

32 / 60

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

a. Slope

b. Difficult to tell

c. Intercept

d. Sum of residual

33 / 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 enable easy calculation for those of us not too good with figures

c. they are fun to use.

d. they are so powerful

34 / 60

An r value of 0.80 indicates:

a. Correlation but not linear

b. Strong linear correlation

c. Perfect linear correlation

d. No linear correlation

35 / 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

36 / 60

To compare three independent means we use:

a. F-test

b. Oneway ANOVA

c. t-test

d. Chi-squared test

37 / 60

In descriptive statistics our main objective is to:

a. Infer something about the population

b. Describe the population

c. Describe the data we collected

d. Draw conclusion

38 / 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

39 / 60

Inferential statistics enable you to :

a. calculate sample size.

b. decide collecting data

c. decide if the research hypothesis is true

d. estimate sample size

40 / 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. The relationship between two variables is weak.

c. The relationship between two variables is strong and positive

d. Correlation coefficient cannot have this value

41 / 60

The null hypothesis states the means are:

a. Alternative hypothesis

b. Not equal

c. Equal

d. Research hypothesis

42 / 60

Which of the following are examples of continuous variables?

a. Birth weight of babies

b. Distance between

c. Number of children

d. Age in year

43 / 60

A qualitative variable:

a. Has only two possible outcomes

b. Is not numeric

c. Always refers to a sample

d. Has many outcomes

44 / 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. +1

b. -1

c. 0.5

d. 0

45 / 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

46 / 60

The coefficient of determination is the?

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

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

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

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

47 / 60

The range of regression coefficient is:

a. -∞ to +∞

b. 0 to ∞

c. -1 to +1

d. 0 to 1

48 / 60

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

a. Slope and Regression coefficient

b. Intercept

c. Regression coefficient

d. Slope

49 / 60

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

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

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

c. less than zero

d. any value larger than 1

50 / 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. 10%

c. 30%

d. 70%

51 / 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

52 / 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. Word, Excel

c. Stata

d. Access

53 / 60

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

a. Coefficient of Determination

b. Coefficient of Correlation

c. Standard error of estimate

d. Sample size

54 / 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. Maximum

b. Minimum

c. Zero

d. Positive

55 / 60

The coefficient of determination (r2) is

a. 100%

b. the correlation coefficient squared

c. usually less than zero

d. the square root of the correlation coefficient

56 / 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. descriptive statistics.

b. Simple random sampling

c. statistical thinking.

d. statistical analysis.

57 / 60

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

a. Regression equation

b. Correlation coefficient

c. Slope

d. Intercept

58 / 60

31. The value of the coefficient of correlation r lies between:

a. -1 and 0

b. -1 and +1

c.  -0-.5 and +0.5

d. 0 and 1

59 / 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. Strong

d. Perfect correlation

60 / 60

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

a. Pearson correlation coefficient

b. analysis of variance

c. β

d. significance level

Your score is

The average score is 83%

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Statistique Et Méthodologie De La Recherche Test

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