Statistique Et Méthodologie De La Recherche Test

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1 / 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. Minimum

b. Unknown

c. Maximum

d. Zero

2 / 60

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

a. Focus group

b. Cross-sectional study

c. Randomized clinical trial

d. Case report

3 / 60

The regression equation always passes through:

a. (a, b)

b. mean X, Mean Y

c. (X, Y)

d. Mean X

4 / 60

When correlation coefficient is 1, all the points in a scatter diagram would lie?

a. Under the line

b. On a straight line

c. On a straight line directed from lower left to upper right

d. On a straight line directed from upper left to lower right

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

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. Perfect positive

b. Zero

c. Perfect negative

d. Negative

7 / 60

Computers are essential for quantitative data analysis because?

a. they are so powerful

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

c. they are fun to use.

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

8 / 60

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

a. Opposite direction

b. Same direction

c. Difficult to tell

d. Same and opposite direction

9 / 60

The null hypothesis states the means are:

a. Not equal

b. Research hypothesis

c. Equal

d. Alternative hypothesis

10 / 60

Which of the following are examples of continuous variables?

a. Distance between

b. Birth weight of babies

c. Number of children

d. Age in year

11 / 60

A t-test is used to compare:

a. 4 means

b. 2 means

c. 5 means

d. 3 means

12 / 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. 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

13 / 60

All data points falling along a straight line is called:

a. Scatter diagram

b. Linear relationship

c. Non linear relationship

d. Residual

14 / 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 relationship between two variables is negative

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 correlation coefficient is 0.39 also

15 / 60

Correlation analysis aims at :

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

b. Establishing relation between two variables

c. Investigate cause of outcome

d. Measuring the extent of relation between two variables

16 / 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.

17 / 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

b. 0.5

c. -1

d. +1

18 / 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. ANOVA

c. ANCOVA

d. The dependent samples t-test

19 / 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

20 / 60

A Type I error occurs when the null hypothesis is:

a. Rejected and the research hypothesis is actually false.

b. accepted and null hypothesis is actually true.

c. rejected and null hypothesis is actually true.

d. accepted but and research hypothesis is actually true.

21 / 60

An r value of 0.80 indicates:

a. Strong linear correlation

b. No linear correlation

c. Correlation but not linear

d. Perfect linear correlation

22 / 60

To compare two means we use:

a. t-test

b. Oneway ANOVA

c. F-test

d. Chi-squared test

23 / 60

The null hypothesis states the means are:

a. Not equal

b. Alternative hypothesis

c. Equal

d. Research hypothesis

24 / 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 did not know the answer or did not have an opinion

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

25 / 60

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

a. Negative

b. Positive

c. Strong

d. Zero

26 / 60

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

a. Maximum

b. Zero

c. Minimum (Least)

d. Less than 1

27 / 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

28 / 60

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

a. Slope

b. Regression equation

c. Intercept

d. Error

29 / 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. 0.64%

b. 80%

c. 64%

d. 0.80%

30 / 60

R2 is used in regression analysis to:

a. Measure model fit

b. To determine how well the model works

c. Estimate correlation

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

31 / 60

When there is no linear correlation between two variables, what will the value of r be?

a. -1

b. Negative number

c. +1

d. 0

32 / 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.

33 / 60

The most commonly used formula to describe linear relationship is?

a. ŷ = b0 + b1x

b. ŷ = b0 + b1x + b2x2

c. ŷ = b0 + b1x2

d. ŷ = b0 + b1x+b2

34 / 60

A scatter plot?

a. Is useful in comparing differences in magnitude of different variables

b. Is used to compare parts to the whole or to compare the total with each part or percentage

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

d. Shows a continuous relationship between two variables over time

35 / 60

The difference between regression analysis and correlation analysis is (except one):

a. Correlation is the same as regression

b. Regression enables prediction of the dependent variable

c. Regression estimates the line of best fit through the data

d. Regression provides measures of association in units of the variable being measured

36 / 60

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

a. y intercept

b. slope of the line

c. independent variable

d. parameter

37 / 60

Correlation analysis is used to:

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

b. Predict values of y based on values of x

c. Analyse data

d. Measure the strength of association between two variables

38 / 60

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

a. used to compute the correlation coefficient

b. the correlation model

c. the regression model

d. the sample size

39 / 60

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

a. Regression coefficient of X on Y

b. Correlation coefficient of Y on X

c. Regression coefficient of Y on X

d. Correlation coefficient of X on Y

40 / 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

41 / 60

The dependent variable is also called except one:

a. Predictand variable

b. Independent variable

c. Regressand variable

d. Explained variable

42 / 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

43 / 60

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

a. No evidence to reject the null hypothesis

b. Reject the null hypothesis

c. Fail to reject the null hypothesis

d. No statistically significant

44 / 60

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

a. parameter

b. y intercept

c. independent variable

d. slope of the line

45 / 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

46 / 60

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

a. -2

b. 2

c. -0.2

d. 0.2X

47 / 60

In descriptive statistics our main objective is to:

a. Infer something about the population

b. Draw conclusion

c. Describe the data we collected

d. Describe the population

48 / 60

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

a. b smaller than 0

b. b = 0

c. b larger than 0

d. b ≠ 0

49 / 60

A perfect positive correlation is signified by:

a. -1 to +1

b. 0

c. -1

d. +1

50 / 60

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

a. 0 ≤ r ≤ 1

b. -1 ≤ r

c. r ≥ 1

d. -1 ≤ r ≤ 1

51 / 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

52 / 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. Oral presentation

c. The format for referencing

d. Whether an abstract should be included

53 / 60

The coefficient of determination, r2, indicates:

a. The linear relationship between two variables

b. The slope of the line of best fit

c. The sum of the residuals from each data point

d. How closely the data fit a defined curve

54 / 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

55 / 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

56 / 60

Scatter diagram helps us to :

a. Obtain the mathematical relationship between two variables

b. Calculate slop

c. Compute the extent of correlation between two variables

d. Find the nature correlation between two variables

57 / 60

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

a. 17

b. 13

c. 21

d. 4

58 / 60

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

a. Negative

b. Positive

c. Undecided

d. Zero

59 / 60

Inferential statistics enable you to :

a. decide analysis data

b. decide conducting interview

c. estimate population parameters.

d. decide conducting research

60 / 60

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

a. Two

b. Four

c. Three

d. One

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Statistique Et Méthodologie De La Recherche Test

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