Understanding Statistics and Introductory Concepts
Levels of Measurement
Summarizing and Presenting Data and Measures of Central Tendency
Understanding Distributions and Comparing Values
Application of Survey Research in Health Care
100
Facts and figures, collected in research that are often presented to add credibility to an argument or health question.
What are statistics?
100
Cannot compare the data beyond merely recognizing that one group is different from the other.
What is Nominal Data?
100
This shows how often each variable was measured.
What is a Frequency Distribution?
100
The average of the squared differences from the Mean.
What is Variance?
100
There is no relationship, no association, no effect or no difference; and it is never accepted or proved.
What is the Null Hypothesis?
200
Every subject has the same chance of being selected; however, this type of sampling is frequently not feasible as the researcher needs to have access to every member of the population.
What is simple random sampling?
200
This data is rank ordered and has numerically equal intervals but does not have a true zero.
What is Interval Data?
200
This measure of central tendancy is the most frequently occurring value or category in the distribution.
What is MODE?
200
This equation provides an indication of how far the individual responses vary or deviate from the mean.
What is Standard Deviation?
200
When the result is smaller than your alpha, and means that you reject the null hypothesis.
What is Statistical Significance?
300
This group of subjects contains all the attributes of the population in the same proportion that they occur in the population.
What is a Representative Sample?
300
An example of this type of data is when a coffee shop offers small, medium, and large coffees.
What is Ordinal Data?
300
In this graph, each dot represents how one subject reacts to 2 variables.
What is a Scatterplot?
300
This standardized score can help us compare a variable to the population average.
What is a Z-score?
300
When your measurement tool is consistent or repeatable.
What is Reliability?
400
This type of variable is observed for changes to assess the effect of treatment
What is a Dependent Variable?
400
This data is rank ordered, has numerically equal intervals, and a true zero.
What is Ratio Data?
400
The difference between the maximum value and the minimum value of a variable.
What is Range?
400
In this asymmetrical distribution the mean increases and the tail extends to the left.
What is a Negative Skew?
400
The probability that a well subject will have a negative screen (or the probability of a true negative)
What is Specificity?
500
Convenience Sampling would be an example of this type of sampling.
What is Non-Probability Sampling?
500
This type of data provides a description or characteristic of something.
What is Qualitative Data?
500
Within this bell curve the mean, median and mode are all equal.
What is Normal Distribution?
500
The presence of this in the denominator of a variance or standard deviation equation indicates a 'sample' calculation rather than 'population'
What is n-1?
500
When the results obtained are similar to the results obtained with another previously validated test that measures the same thing.