Question
click below
click below
Question
Normal Size Small Size show me how
Module 1
C207 Flashcards
Question | Answer |
---|---|
There are two types of statistics (Analytics) | Descriptive and Inferential |
Descriptive statistics are used to ______ | Inform / Explanatory |
Inferential statistics are used to ______ | Predict / Trend |
Name the 4 levels of measurement | (NOIR) Nominal, Ordinal, Interval Ratio |
Continuous data with unique zero point is _______ level of measurement. | Ratio |
Orders data at equal distance apart is _______ level of measurement. | Interval |
Place qualitative objects in some kind of order is _______ level of measurement. | Ordinal |
Identify, Group, or Categorize is _______ level of measurement. | Nominal |
Outliers create this type of error | Out-of Range |
Unpredictable error | Random Error – No correlation |
Error may occur from missing data. (Example: Space not filled in) | Omission Error – Distorted results |
This error repeats itself | Systematic Error – Skewed results |
What is the process of quality control? | Reduce/ minimize errors |
Types of Studies: All variable measurements and manipulations are under the researcher’s control. | Experimental study |
Types of Studies: Used when impractical or impossible to control the conditions of the study | Observational study |
Types of Studies: Participants are not told if they are in the treatment group or control group. | Blind Study |
Types of Studies: The procedure the researcher applies to each subject | Treatments |
Types of Studies: Neither the treatment allocator or the participants knows who is in the treatment group or control group | Double blind study |
Types of Bias: Questions favor an outcome or the interviewer ask questions that favor an outcome. | Information Bias |
The average outcome (payoff) when the future includes scenarios that may or may not happen | Expected Monetary Value (EMV) Analysis |
Observation points that are distant from other observations. | Outliers Note: Can be included or excluded in analysis (causes skewness) |
Types of Bias: Bias that occurs from not selecting a random sample | Measurement bias |
Types of Bias: Bias introduced because respondents believe it will be beneficial if selected. | Conscious bias |