1.Quantitative Data: "Static" Numeric and Verifiable Data.
2.Qualitative Data: Observable, categorical and subjective Data.
3.P Value: The probability of results of the experiment being attributed
to chance. Utilized to test the hypothesis. Lower P value indicates
results are impacted by intervention.
4.Independent Variable: Has an affect on the dependent variable "what
you con- trol"
(Exercise machine) to see if BP is lowered,
1/
patient is on BP meds
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,5.Dependent Variable: Variable that is going to change as a result of
intervention
Exercise machine to see if (BP is lowered), patient is on BP meds)
6.Confounding Variable: obscures effect of another variable
Exercise machine to see if BP is lowered, patient is on (BP meds)
7.Ordinal Variable: a qualitative variable that incorporates an ordered
2/
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,position, or ranking.
ex. income levels, levels of agreement, levels of satisfaction
8.Continuous Variable: A variable that can take any value in a
given range (AKA Interval variable)
Numerical/Quantitative
3/
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, ex. 10 degree temperature change, equal points on a chart.
ex. credit score, GMAT score, Temperature
9.Dichotomous Variable: Binary variable, occurs in only two possible
states.
ex. Patient is diabetic or non diabetic
10.Cross Sectional Study: Analyses data from subset at a specific time.
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2.Qualitative Data: Observable, categorical and subjective Data.
3.P Value: The probability of results of the experiment being attributed
to chance. Utilized to test the hypothesis. Lower P value indicates
results are impacted by intervention.
4.Independent Variable: Has an affect on the dependent variable "what
you con- trol"
(Exercise machine) to see if BP is lowered,
1/
patient is on BP meds
46
,5.Dependent Variable: Variable that is going to change as a result of
intervention
Exercise machine to see if (BP is lowered), patient is on BP meds)
6.Confounding Variable: obscures effect of another variable
Exercise machine to see if BP is lowered, patient is on (BP meds)
7.Ordinal Variable: a qualitative variable that incorporates an ordered
2/
46
,position, or ranking.
ex. income levels, levels of agreement, levels of satisfaction
8.Continuous Variable: A variable that can take any value in a
given range (AKA Interval variable)
Numerical/Quantitative
3/
46
, ex. 10 degree temperature change, equal points on a chart.
ex. credit score, GMAT score, Temperature
9.Dichotomous Variable: Binary variable, occurs in only two possible
states.
ex. Patient is diabetic or non diabetic
10.Cross Sectional Study: Analyses data from subset at a specific time.
4/
46