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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 |