Lab 1: Data Analysis and presentation Flashcards Preview

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Flashcards in Lab 1: Data Analysis and presentation Deck (20):
1

RAW DATA

Large quantities of data collected when conducting field studies or experiments

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SUMMARY STATISTICS/DESCRIPTIVE STATISTICS

presentation of data that give an overview of trends in a manner the reader can understand

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Commonly reported statistics include

1. mean : average
2. minimum values
3. maximum values
4. range
5. standard deviation
6. standard error

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STATISTICS

a feild of study that provides quantitative tools for summarizing data and testing hypotheses

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VARIANCE

spread of data around the mean

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STANDARD DEVIATION

measures the variance ( the spread of data around the mean)

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mean +/- 1 SD

The value encompasses approx 68% of the dat point in a data set

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mean +/- 2 SD

The value encompasses approx 98% of the dat point in a data set

9

STANDARD ERROR

It is the measure of how certain we are that a calculated mean is reliable

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STANDARD DEVIATION

measures the variance ( the spread of data around the mean)

11

mean +/- 1 SD

The value encompasses approx 68% of the dat point in a data set

12

mean +/- 2 SD

The value encompasses approx 98% of the dat point in a data set

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INFERENCES

reach conclusions about a species or population based on samples of a few individuals

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NULL HYPOTHESES

That the mean masses of two populations are equal

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PROBABILITY VALUE, P values

which is the probability or likelihood the null hypotheses is true

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P-VALUE ranges

0.00 - 1.00

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The standard P-value for judging whether a null hypotheses is accepted or rejected

.05
< .05 is rejected
> .05 is accepted

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ANOVA ( Analysis of variance

commonly used to compare 3 or more means rather than 2 means

19

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

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REGRESSION

The relationship that describes the dependence of one variable on another
its equation : REGRESSION EQUATION