My Crossword Maker Logo
Powered by BrightSprout
Save Status:
or to save your progress. The page will not refresh.
Controls:
SPACEBAR SWITCHES TYPING DIRECTION
Answer Key:
Edit a Copy:
Make Your Own:
Crucigrama Sopa de Letras Hoja de Trabajo
Calificar este Puzzle:
Log in or sign up to rate this puzzle.

Biostatistics

Horizontales
Is not numerical, but represents the quality or nature of variables. The values are expressed as outcomes which are ranked in order
Middle Point
Involves the application of statistical tests to the data in order to organize, describe summarize and analyze it to answer a research question or test a hypothesis
contains all characteristics of the preceding scales and has an absolute zero point determined by nature.
refers to the relationships or associations between variables. Example: the relationship between caries incidence and fluoride exposure.
a categorical variable that places data into only 2 groups = Qualitative Example: male/female, pass/fail, true/false, yes/no.
make inferences or generalizations about a population based on data taken from a sample of the population
Similar to a bar graph but the bars appear side by side
Has no numerical value and is Qualitative. Groups items without numerical value. Example: Gender, Ethnicity, Color, religion etc.
made up of distinct and separate units or categories but is counted only in whole numbers and is also quantitative because it is numerical.
Line graph Used to plot a variable over time
is a scale of measurement similar to ordinal scale but the distance between 2 adjacent units is equal. But there is no zero point.
the square root of the variance.
Verticales
represents the average distance of each score from the mean
Differs from Anova in that it measures more than one Dependent Variable
represents the probability that the findings from the study are due to chance.
consist of the procedures used to summarize, organize and describe quantitative data. Example: tables and graphs
Used to determine if statistically significant differences occur when comparing more than two mean scores Measures one dependent variable
organizing data into mutually exclusive categories – the categories have no rank order or value and there is no numeric relationship between the different classifications.
Value of “ r ” communicates the direction and strength of the association
determined by subtracting the highest from the lowest score – is the least useful because it only measures the distance between highest and lowest scores.
Shows the relationship between two variables Shows how the level of one variable varies as the level of the other variable changes
the value that occurs most often in the distribution
Average