Math Flashcards

0
Q

95% confidence level

A

1.96

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1
Q

90% confidence level

A

1.64

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2
Q

99% confidence level

A

2.57

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3
Q

Hypothesis testing

A

Confidence intervals give us a region that may contain the true population parameter.
It is a process of testing whether the CI contains a specific value

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4
Q

Simple random

A

Every individual has an equal chance of being selected

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5
Q

Advantages and disadvantages to random sampling

A

Advantages: truly unbiased
Disadvantages:geography,a chance u have no variety

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6
Q

Systematic sampling

A

Pick random location and sampling interval

Works well with tree plantations

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7
Q

Advantages and disadvantages of systematic sampling

A

Advantages: efficiency, uniform coverage
Disadvantages: not “truly” unbiased,pattern in the landscape makes a problem

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8
Q

Stratified random sampling

A

Obvious groups in your sample that could influence your population mean, most be aware of groups before hand

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9
Q

Stratified sampling advantages and disadvantages

A

Advantages: know differences between groups
Disadvantages: more complex, assumes u know proportions so needs additional math

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10
Q

Cluster sampling

A

Sampling groups of like individuals to estimate some measurements of those individuals

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11
Q

Advantages and disadvantages of cluster sampling

A

Ad: efficient, scattered objects across space
Dis: potential for pseudoreplication (outliers)

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12
Q

Difference between stratified sampling and cluster sampling

A

Stratified: smaller variance within stratum than across strata ( you want variation!)
Cluster:larger variance within a cluster than across clusters (more similar than different)

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13
Q

Basal area measurements

A
Basal area (ft2)= dbh2x 0.005454 where dbh is measured in inches
Basal area(m2) = dbh2x0.0000785398 where dbh is measured in cm
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14
Q

Clinometer

A

Measures height math % to ground +% to the top

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15
Q

Prism

A

Point sampling

16
Q

What is a sample?

A

Representative piece of pie

17
Q

Why take a sample?

A

Ad: quicker, easier ,cheaper
Dis: depending on sample size it’s inaccurate

18
Q

Universe

A

Total # of objects of interest

19
Q

Population

A

The attributes of interest on all N objects in the universe

20
Q

Statistic

A

An estimator of a specific parameter calculated from the sample of the population

21
Q

Parameter

A

A collective property of the population

22
Q

Quantitative

A

Quantity and numbers

23
Q

Qualitative

A

Words descriptions

24
Q

Continuous

A

Decimal points,mean something

25
Q

Discrete

A

Whole numbers

26
Q

Interval

A

No “ natural zero” different meaning than nothing

27
Q

Ratio

A

Some relationship between 2 numbers

28
Q

Proportions/percentages

A

Fractions

29
Q

Mean advantages and disadvantages

A

Ad: useful for stats
Dis: biased by outliers

30
Q

Median advantages

A

Better description of outliers

31
Q

Mode advantages and disadvantages

A

Ad: useful for descrete data
Dis: not so useful for continuous data