Statistique Et Méthodologie De La Recherche Test

0 votes, 0 avg

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*

The timer has been reached. The exam has now been terminated and saved.

1 / 60

Inferential statistics are useful for:

a. Determining the probability of something

b. Observing natural behavior

c. Construct validity

d. Interviews

2 / 60

The coefficient of determination is the?

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

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

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

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

3 / 60

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

a. Regression equation

b. Error

c. Intercept

d. Slope

4 / 60

The coefficient of determination, r2, indicates:

a. The sum of the residuals from each data point

b. The linear relationship between two variables

c. How closely the data fit a defined curve

d. The slope of the line of best fit

5 / 60

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

a. Strong

b. Perfect negative

c. Weak

d. Perfect correlation

6 / 60

Which of the following are examples of continuous variables?

a. Birth weight of babies

b. Age in year

c. Number of children

d. Distance between

7 / 60

Which of the following statements is true regarding a sample?

a. It refers to descriptive statistics

b. It is a part of population

c. It must contain at least five observations

d. It refers to estimation

8 / 60

Internal “validity” refers to:

a. how accurately the measurements represent underlying concepts.

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

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

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

9 / 60

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

a. No statistically significant

b. Reject the null hypothesis

c. Fail to reject the null hypothesis

d. No evidence to reject the null hypothesis

10 / 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. The dependent samples t-test

b. ANCOVA

c. ANOVA

d. Chi-square

11 / 60

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

a. Positive

b. Constant

c. Negative

d. Zero

12 / 60

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

a. as x decrease y increases

b. as x decrease y decreases

c. as x increases y increases

d. as x increases y decreases

13 / 60

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

a. b smaller than 0

b. b larger than 0

c. b ≠ 0

d. b = 0

14 / 60

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

a. Linear positive

b. Linear relationship

c. Linear negative

d. Nonlinear relationship

15 / 60

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

a. Intercept

b. Slope

c. Regression equation

d. Correlation coefficient

16 / 60

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

a. 0

b. +1

c. -1

d. r

17 / 60

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

a. Regression coefficient of X on Y

b. Regression coefficient of Y on X

c. Correlation coefficient of Y on X

d. Correlation coefficient of X on Y

18 / 60

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

a. Sample size

b. Coefficient of Determination

c. Standard error of estimate

d. Coefficient of Correlation

19 / 60

Correlation analysis is used to:

a. Measure the strength of association between two variables

b. Predict values of y based on values of x

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

d. Analyse data

20 / 60

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

a. 0

b. 1

c. 0.5

d. 5

21 / 60

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

a. The f-value

b. The t-value

c. The p-value

d. R2

22 / 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. Maximum

b. Minimum

c. Zero

d. Unknown

23 / 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 dependent variable

b. The correlation coefficient is 0.39 also

c. The relationship between two variables is negative

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

24 / 60

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

a. 0

b. 3

c. 2

d. 1

25 / 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. cannot be in kilograms

d. must also be in kilograms

26 / 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. Estimate correlation

c. To determine how well the model works

d. Measure model fit

27 / 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. Access

d. Stata

28 / 60

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

a. Descriptive statistics

b. Inferential statistics

c. Part of experimental studies

d. Linear regression statistics

29 / 60

A scatterplot is a ?

a. one-dimensional graph of randomly scattered data.

b. two-dimensional graph of a straight line.

c. two-dimensional graph of data values.

d. two-dimensional graph of a curved line.

30 / 60

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

a. +1

b. Negative number

c. 0

d. -1

31 / 60

Bivariate Data are the data collected for :

a. Two variables

b. More than two variables

c. Two variables at different points of time.

d. Two variables at the same point of time

32 / 60

Correlation and regression are concerned with ?

a. the relationship between two categorical variables.

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

c. the relationship between two quantitative variables.

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

33 / 60

A process by which we estimate the value of dependent variable on the basis of one or more
independent variables is called:

a. Regression

b. Residual

c. Correlation

d. Slope

34 / 60

An r value of 0.80 indicates:

a. No linear correlation

b. Correlation but not linear

c. Perfect linear correlation

d. Strong linear correlation

35 / 60

Quantitative data refers to:

a. graphs and tables.

b. statistical analysis

c. any data you present in your report

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

36 / 60

To compare three independent means we use:

a. Oneway ANOVA

b. F-test

c. t-test

d. Chi-squared test

37 / 60

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

a. Introduction

b. Discussion

c. Method

d. Result

38 / 60

Because of the possibility of error in sampling from populations, researchers use:

a. Significance

b. Unbiased

c. Descriptive

d. Probability

39 / 60

A t-test is used to compare:

a. 3 means

b. 5 means

c. 4 means

d. 2 means

40 / 60

A scatter plot?

a. Shows a continuous relationship between two variables over time

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

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

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

41 / 60

The range of regression coefficient is:

a. -∞ to +∞

b. 0 to 1

c. 0 to ∞

d. -1 to +1

42 / 60

The sum of the difference between the actual values of Y and its values obtained from the fitted regression line is always:

a. Zero

b. Minimum

c. Positive

d. Negative

43 / 60

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

a. Correlation is the same as regression

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

c. Regression enables prediction of the dependent variable

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

44 / 60

To compare two means we use:

a. Oneway ANOVA

b. Chi-squared test

c. t-test

d. F-test

45 / 60

Correlation analysis aims at :

a. Measuring the extent of relation between two variables

b. Establishing relation between two variables

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

d. Investigate cause of outcome

46 / 60

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

a. Dependent

b. Difficult to tell

c. Independent and dependent

d. Independent

47 / 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. 0.5

c. 0

d. +1

48 / 60

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

a. Intercept

b. Slope and Regression coefficient

c. Regression coefficient

d. Slope

49 / 60

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

a. The sample result is between this interval

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

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

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

50 / 60

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

a. b ≠ 0

b. a = b

c. b = 0

d. b = 1

51 / 60

All data points falling along a straight line is called:

a. Linear relationship

b. Scatter diagram

c. Residual

d. Non linear relationship

52 / 60

The purpose of simple linear regression analysis is to:

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

b. Predict one variable from another variable

c. Obtain the expected value of the independent variable

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

53 / 60

A qualitative variable:

a. Is not numeric

b. Always refers to a sample

c. Has many outcomes

d. Has only two possible outcomes

54 / 60

The null hypothesis states the means are:

a. Equal

b. Research hypothesis

c. Alternative hypothesis

d. Not equal

55 / 60

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

a. Strong

b. Positive

c. Zero

d. Negative

56 / 60

Method is used to infer that the results from a sample are reflective of the true population
scores. ?

a. Correlated statistics

b. Regression statistics

c. Descriptive statistics

d. Inferential statistics

57 / 60

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

a. Regression analysis

b. Partial correlation analysis

c. Inference

d. Correlation analysis

58 / 60

In regression analysis, the variable that is being predicted is

a. the dependent variable

b. the independent variable

c. usually denoted by x

d. slope

59 / 60

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

a. y intercept

b. slope of the line

c. independent variable

d. parameter

60 / 60

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

a. Data mining

b. Data trending

c. Data analysis

d. Data mapping

Your score is

The average score is 0%

Any comments?

Statistique Et Méthodologie De La Recherche Test

Any problems/errors or mistakes found while testing, please let us know for modification!

និស្សិតអាចប្រាប់មកកាន់ពួកយើងបានដើម្បីកែកំហុស ឬអំពីបញ្ហាដោយអចេតនាណាមួយដែលកើតមានកំឡុងពេលធ្វើតេស្ត