Lab 1: Data Analysis and presentation Flashcards
RAW DATA
Large quantities of data collected when conducting field studies or experiments
SUMMARY STATISTICS/DESCRIPTIVE STATISTICS
presentation of data that give an overview of trends in a manner the reader can understand
Commonly reported statistics include
- mean : average
- minimum values
- maximum values
- range
- standard deviation
- standard error
STATISTICS
a feild of study that provides quantitative tools for summarizing data and testing hypotheses
VARIANCE
spread of data around the mean
STANDARD DEVIATION
measures the variance ( the spread of data around the mean)
mean +/- 1 SD
The value encompasses approx 68% of the dat point in a data set
mean +/- 2 SD
The value encompasses approx 98% of the dat point in a data set
STANDARD ERROR
It is the measure of how certain we are that a calculated mean is reliable
STANDARD DEVIATION
measures the variance ( the spread of data around the mean)
mean +/- 1 SD
The value encompasses approx 68% of the dat point in a data set
mean +/- 2 SD
The value encompasses approx 98% of the dat point in a data set
INFERENCES
reach conclusions about a species or population based on samples of a few individuals
NULL HYPOTHESES
That the mean masses of two populations are equal
PROBABILITY VALUE, P values
which is the probability or likelihood the null hypotheses is true
P-VALUE ranges
0.00 - 1.00
The standard P-value for judging whether a null hypotheses is accepted or rejected
.05
< .05 is rejected
> .05 is accepted
ANOVA ( Analysis of variance
commonly used to compare 3 or more means rather than 2 means
REGRESSION ANALYSIS
a means of determining whether a significant linear relationship exist between 2 or more variables
. It generates the slope of the line fitted to data points , and then tested to see if the slope deviates significantly from zero
Y=AX + B
. If the coefficient (A) slope is positive the relationship between the dependent variable and independent is a direct one and line slopes upward.
.If the regression coefficient is negative : the relationship is inverse and lines slope downwards
REGRESSION
The relationship that describes the dependence of one variable on another
its equation : REGRESSION EQUATION
