Lab 1: Data Analysis and presentation Flashcards

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1
Q

RAW DATA

A

Large quantities of data collected when conducting field studies or experiments

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2
Q

SUMMARY STATISTICS/DESCRIPTIVE STATISTICS

A

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

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3
Q

Commonly reported statistics include

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

STATISTICS

A

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

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5
Q

VARIANCE

A

spread of data around the mean

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6
Q

STANDARD DEVIATION

A

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

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7
Q

mean +/- 1 SD

A

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

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8
Q

mean +/- 2 SD

A

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

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9
Q

STANDARD ERROR

A

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

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10
Q

STANDARD DEVIATION

A

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

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11
Q

mean +/- 1 SD

A

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

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12
Q

mean +/- 2 SD

A

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

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13
Q

INFERENCES

A

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

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14
Q

NULL HYPOTHESES

A

That the mean masses of two populations are equal

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15
Q

PROBABILITY VALUE, P values

A

which is the probability or likelihood the null hypotheses is true

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16
Q

P-VALUE ranges

A

0.00 - 1.00

17
Q

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

A

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

18
Q

ANOVA ( Analysis of variance

A

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

19
Q

REGRESSION ANALYSIS

A

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

20
Q

REGRESSION

A

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