Math Flashcards
95% confidence level
1.96
90% confidence level
1.64
99% confidence level
2.57
Hypothesis testing
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
Simple random
Every individual has an equal chance of being selected
Advantages and disadvantages to random sampling
Advantages: truly unbiased
Disadvantages:geography,a chance u have no variety
Systematic sampling
Pick random location and sampling interval
Works well with tree plantations
Advantages and disadvantages of systematic sampling
Advantages: efficiency, uniform coverage
Disadvantages: not “truly” unbiased,pattern in the landscape makes a problem
Stratified random sampling
Obvious groups in your sample that could influence your population mean, most be aware of groups before hand
Stratified sampling advantages and disadvantages
Advantages: know differences between groups
Disadvantages: more complex, assumes u know proportions so needs additional math
Cluster sampling
Sampling groups of like individuals to estimate some measurements of those individuals
Advantages and disadvantages of cluster sampling
Ad: efficient, scattered objects across space
Dis: potential for pseudoreplication (outliers)
Difference between stratified sampling and cluster sampling
Stratified: smaller variance within stratum than across strata ( you want variation!)
Cluster:larger variance within a cluster than across clusters (more similar than different)
Basal area measurements
Basal area (ft2)= dbh2x 0.005454 where dbh is measured in inches Basal area(m2) = dbh2x0.0000785398 where dbh is measured in cm
Clinometer
Measures height math % to ground +% to the top