Data Categories/Data Type
This type of data can describe height, weight or time
Continuous
A scale of measurement that has equal distance between values
Interval
-0.9 is weak correlation coefficient (T/F)
False
To report an average without a measure of dispersion can misrepresent the data (T/F)
True
What is the p-value if your ratio is 1:100 of reproducing the same results?
0.01
This data is a variable that has no numeric representation
Categorical
This data scale has mutually exclusive categories with no rank, order or value and no numeric relationship.
Nominal
This measure reflects the spread and dispersion of data
Standard Deviation
This type of error occurs when the null hypothesis is rejected but is actually true, and should have been accepted.
Type I error
If a p-value is less than or equal to 0.05 it is considered:
Statistically significant
This type of data places subjects into only 2 groups
Dichotomous
This data scale has an absolute zero point, plus all characteristics of other scales
Ratio
This term shows how many standard deviations a raw score is above or below the mean
Z-score
This theorem suggests that if you take a random sample from the population, the mean will create a normal distribution
Central Limit Theorem
This term is the probability or likeliness that a condition would happen due to chance
P-value
This type of data has distinct, separate units and is counted only in whole numbers
Discrete
This scale of measurement is not used in oral health research
Interval
This percent of data falls within 2 standard deviations of the mean
95%
A bell shaped, normal distribution is also known as:
Gaussian distribution
This term sets a level of significance when the null should be rejected.
Alpha level
This type of data is made up of distinct and separate units/categories and can be expressed by a large or infinite number.
Continuous
This data scale has categories that are ranked in order, but the differences between ranks are not necessarily equal
Ordinal
A non-parametric test that compares two or more data sets from different samples
ANOVA
This is the most common correlation coefficient
Pearson product-moment correlation coefficient
If the alpha level < p-value, you should
Reject the null hypothesis