Policy Evaluation Analytics Final Exam

Part I. Multiple Choice: Place an “X” by the choice that best answers the question or completes the statement. Be precise in placement of your choice.
1 The Central Tendency Theorem (aka “Law of Large Numbers”) is the principle that given a distribution of a parameter:
* Is foundational to all statistical analysis
* Distribution of a measured variables should be normally or near normally distributed X
* There is a center point of all observed values in a data set
* That measured values of a data set will tend to gather around an arithmetic average of the data observed values
* All of the above
2 A normal distribution is a data set comprised of:
* An arithmetic mean as a central tendency
* Is symmetrical in shape;
* Has a medium and mode equal to the sample mean
* Has a calculable standard deviation of the mean
* All of the above- X
3 In a right skewed (aka “Positively Skewed) distribution the characteristics of the central tendency are:
* Mean, mode and median are all equal
* Mean is less than the Median and Mode
* Mean is greater than the Median and the Mode - X
* None of the above
4. In a left skewed (aka Negatively Skewed) distribution, the characteristics of
the central tendency is:
* Mean, mode and median are all the same, or equal
* Mean is greater than the mode and median
* Mean is less than the Median, and Median is less than the Mode.- X
(d) None of the above.
4 A data set of a measured variable that is normally distributed is important because it presents empirical rules that describe the percentage of the observed values that fall within 3 standard deviations of the mean, which are:
(a) .60-.87-.95
(b) .67-.88-.99
(x) .68-.95-.997 X
(d) .68-.94-.996
(e) None of the above.
5 Correlation between variables is:
(a) The relationship between ordinal variables in a statistical study.
(b) The strength of the relationship between every combination of 2 quantifiable variables in a study.
(c) The strength and direction of the linear relationship between every combination of 2 quantifiable variables in a statistical study. X
(e) None of the above.
8 Variables in a statistical study can be correlated within the range of:
(a) 0.0 to +1.0
(b) 0.0 to –1.0.
(x) 0.0 to +/- 1.0 X
(d) 0.0 to +/- any whole number.
1 Regression Analysis is:
* A means by which correlated relationships between variables is determined and quantified X
* A means to determine whether the relationship between two quantifiable variables are positive or negative;
* A means to test the hypothesis of cause –effect relationship between the quantifiable variables in a statistical study.
* None of the above.
2 In Regression analysis, the study variables are cast in a regression equation where the variables can be:
* Latent and objective
* Responsive or explanatory
* Are dependent or independent
* All of the above X
3 In a Regression equation there are how many dependent variables and how many independent variables;
* Not more than 2 dependent and not more than 6 independent
* One dependent that must be a latent variable, and any number of i...