QUIZ Flashcards
(23 cards)
Identify which level of measurement
- Name
Nominal
Identify which level of measurement
- Age
Ratio
Identify which level of measurement
- Civil Status
Nominal
Identify which level of measurement
- Educational Attainment
Ordinal
Identify which level of measurement
- Religion
Nominal
Identify which level of measurement
- School Attended
Nominal
Identify which level of measurement
- IQ Score
Interval
True or False: A symmetric distribution is a property of distribution that has the mean as the center, acting as a mirror image of the two sides of the distribution.
True
Geiser computed for the class width of a certain set of data. He arrived with 8.43 as the answer. Which statement BEST describes how class width should be determined?
A. Geiser needs more information to find the class width.
B. Geiser should round off the value and use 8 as the class width.
C. Geiser should round up the value and use 9 as the class width.
C. Geiser should round up the value and use 9 as the class width.
Which graphical representation is BEST to use when there is a nominal level of measurement?
A. Bar Graph
B. Histogram
C. Stem-and-leaf plot
D. Box-and-whisker plot
A. Bar Graph
True or False: Histogram is a great approximation of a normal distribution.
True
Choose 3 properties of a normal distribution.
A. It is a bell-shaped curve.
B. The curve is symmetrical to the mode.
C. The tails of the normal curve are asymptotic to the horizontal axis.
D. The total area under a normal curve is 1.
A,C,D
True or False: The standard normal distribution has the same properties as of that normal distribution except that the mean is 1 and the standard deviation is 0.
False
True or False: Correlation analysis is the study of relationship between independent and dependent variables.
True
It is a visual representation of the linear relationship between two variables.
A. Box-and-whisker plot
B. Stem-and-leaf plot
C. Histogram
D. Scatter plot
D. Scatter plot
“The length of time in a company guarantees higher salary.” What is your dependent variable?
A. Salary
B. Company
C. Length of time in the company
D. Employees
A. Salary
“The length of time in a company guarantees higher salary.” What is your independent variable?
A. Salary
B. Company
C. Length of time in the company
D. Employees
C. Length of time in the company
A researcher calculates the Pearson correlation coefficient and obtains r = -1.52. What does this mean?
A. There is no relationship between variables.
B. It shows a negative relationship.
C. The obtained r is incorrect. There is no correlation coefficient r that is beyond 1.
D. It shows a positive relationship.
C. The obtained r is incorrect. There is no correlation coefficient r that is beyond 1.
In a simple linear regression, which of the following is typically true?
A. The dependent variable is plotted on the x-axis.
B. The slope of the regression line can be negative, indicating an inverse relationship.
C. The slope of the regression line cannot be negative.
D. The independent variable is always a categorical variable.
B. The slope of the regression line can be negative, indicating an inverse relationship.
What does an r^2 value of 0 indicate?
A. A strong negative correlation between the variables
B. A strong positive correlation between the variables
C. No correlation between the independent and dependent variables
D. A perfect fit of the regression line to the data
C. No correlation between the independent and dependent variables
If the coefficient of determination is 0.85, what does this indicate?
A. The regression line is horizontal
B. 15% of the variance in the dependent variable is explained by the independent variable
C. The relationship between the variables is weak
D. 85% of the variance in the dependent variable is explained by the independent variable
D. 85% of the variance in the dependent variable is explained by the independent variable
What is the range of the coefficient of determination?
From 0 to ____
1
What does the regression line represent in simple linear regression?
A. The actual values of the dependent variable
B. The average of the dependent variable
C. The correlation between the two variables
D. The predicted values of the dependent variable based on the independent variable
D. The predicted values of the dependent variable based on the independent variable