Presenting and Interpreting Quantitative Data Flashcards
Observed data or variables can be _____ or ____
And under these categories are 2 types each, which are?
Categorical
1. Nominal (no ranking - blood types/sex)
2. Ordinal (ranking - life stages)
Numerical
1. Discrete (counting/whole numbers)
2. Continuous (scale measurements)
The goal of ________ is to make an ___ about a p_____ (a group of _____)
However, it is impossible to gather data from ALL individuals so, only a ______ is studied
MEASUREMENTS
1. inference
2. population
3. individuals/organisms
- sample
What are 2 ways to ensure that the sample studied is an objectively good representation of the population?
- Random sampling
- Sufficient sample size
To make sense of your data, use ______ of _______ _____ and d_____
these two are also known as ______ statistics
measure
Central
tendency
dispersion
descriptive
3 TYPES OF MEASURES OF CENTRAL TENDENCY
- divides the distribution in half
- arranged in increasing/decreasing order
- most commonly used
- possible that there is more than one of this or even none
- least affected by outlying data points
- most preferred when the distribution is not symmetrical
- average value
- median
- median
- mean
- mode
- median
- median
- mean
3 TYPES OF MEASURES OF DISPERSION
- R__ (the ___ between the ___ # and the ___ #)
- Sample V__ (how ___ the individual data are from the ___)
- Sample S___ D__ (how _____ the data are from the ___)
- Range (the difference between the largest # and the smallest #)
- Sample Variance (how far the individual data are from the mean)
- Sample Standard Deviation (how tightly clustered the data are from the mean)
What can help reveal patterns and relationships?
Tables, graphs, and charts
4 ELEMENTS of a table
- table title
- headings
- sub-headings
- body
In TABLES, where are the placements of the INDEPENDENT and DEPENDENT variables?
INDEPENDENT: left-most
DEPENDENT: right-most
In FIGURES, where are the placements of the INDEPENDENT and DEPENDENT variables?
INDEPENDENT: x-axis
DEPENDENT: y-axis
What type of analysis needs to be performed for a SCATTER DIAGRAM?
Correlational Analysis
GRAPHS
1. Small amount of data w/ discrete variables
2. Plenty data w/ discrete variables
3. 2 interdependent and continuous variables
4. 1 continuous variable (class intervals) & 1 discrete variable
5. 1 discrete variable and 1 continuous variable (usually for time-based data)
- Table
- Bar graph
- Scatter Diagram
- Histogram
- Line graph
HISTOGRAM STEPS
- Get total # of classes with what formula?
- Get class interval with what formula?
- next step?
K = 1 + 3.3 log n
CI = Range / K
Value of CI will be the lowest limit and succeeding lower limit difference
formula for variance and sd
variance: summation of ((X minus MEAN)^2)
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total number of observations - 1
sd: square root of variance
high variance value vs low variance value
high: more spread out
low: more clustered