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Presentation of Data
refers to an exhibition or putting up data in an attractive and useful manner such that it can be easily interpreted
Textual Presentation
presented in the form of text, phrases, or paragraphs.
Textual Presentation
principal method for explaining findings, outlining trends, and providing contextual information
Textual Presentation
involves enumerating important characteristics, emphasizing significant figures, and identifying important features of data.
Tabular Presentation
systematic and logical arrangement of data in the form of Rows and Columns
Tabular Presentation
representing individual information and represents both quantitative and qualitative information
Graph Presentation
it displays data at a glance, facilitates comparison, and can reveal trends and relationships within the data
Bar Graph
use to organize discrete data
Bar Graph
constructed by labeling each category of data on either the horizontal or vertical axis
Simple Bar Graph
used for the case of one variable only
Multiple Bar Graph / Grouped Column Chart
extension of a simple bar chart when there are quantities of several variables to be displayed
Component Bar Graph / Subdivided Column Chart
represent data in which the total magnitude is divided into different or components
Histogram
organize continouos data
Pie Chart
a circle divided into sectors. Each sector represents a category of data.
Pie Chart
typically used to present the relative frequency of qualitative data
Line Graph
shows information that is connected in some way
Grouped Data
the type of data that is classified into groups after collection.
Ungrouped Data (Raw Data)
data that has not been placed in any group or category after collection.
Mean
sum of the data values divided by the number of data values
Mean
Average
Mean
appropriate only for data under interval and ratio scale measurement.
Median
middle observation
Median
divides the distribution into two equal parts
Mode
most frequently occurring value in a list of data
Mode
nominal Average
Mode
the only measure of central tendency used in both quantitative and qualitative data.
Quantiles
statistics that describe various subdivisions of a frequency distribution into equal proportions
3 special Quantiles
Quartiles
Deciles
Percentiles
Quartile
split the ordered data into four quarters
Percentile
split the ordered data into 100 equal parts
Decile
split the ordered data into ten equal
Standard Deviation
a measure of how far away items in a data set are from the mean
Standard Deviation
Can never be a negative number
Standard Deviation
smallest possible value for the standard deviation is 0
Variance
represents all data points in a set and is calculated by averaging the squared deviation of each mean