Graphs/Tables
Statistics
Hypothesis Testing
Experimental Design
Miscellaneous
100

Type of graph that displays two numerical continuous data

Scatter plot

100

The measures of spread vs. the measures of location

Standard deviation/variance vs. mean/median/mode

100

What is the value we use to determine if something is significant?

p value; less than or equal to 0.05

100

Three ways to reduce bias

Control group, randomization, and blinding

100

What is a confounding variable?

An alternative variable (not the IV/explanatory variable) that could have an effect on the response variable

200
The steps for "cleaning up graphs"

Remove gridlines, add axis titles, remove chart title, darken lines, add figure legend 

200

What the 95% Confidence Interval shows

The true mean will not be displayed 5% of the time

200

Difference between Type 1 and Type 2 error

Type 1: reject null, when null is actually true

Type 2: fail to reject a false null

200

Three ways to reduce sampling error

Replication, balancing, and blocking

200

What are the rules for error bars?

- Figure legend should describe what type of error bars are displayed

- Sample size, n, included in legend

- In experiments when comprising controls, use inferential error bars

- Standard error bars doubled will produce 95% CI (if sample size is greater than 10)

300

Three places tables have lines

Top, underneath statistics labels (darker), and bottom

300

The measures influenced by sample size

Confidence interval and standard error 

300

The meaning of an alternative hypothesis to be "two-tailed"

The IV could effect the DV in a positive or negative way

300

Difference between single blind and double blind experiments

Single blind: Only the participants are unaware

Double blind: The participants and the researchers are unaware

300

What is an experimental artifact?

Aspect of experiment itself that biases experiment 

400

Bar graphs display what kinds of data

Two categorical pieces of data

400

Measures influenced by extreme values? Measures not influenced by extreme values?

Mean

Median

400

Definitions of null and alternative hypotheses

Null: IV does not effect DV 

Alternative: IV does effect DV

400

Difference between experimental and correlational design

Experimental: treatments are manipulated and varying explanatory variables are assigned to sample

Correlational: nature is observed as is; uses existing variation explanatory variable 

400

What is a sample of convenience? 

Taking a sample of individuals that are easily available. Not a true representation of the population 

500

Information displayed in a figure legend

Title, sample sizes of species, materials/methods, and type of error bars used

500

When are mean and median the same? When are they different?

Same = normal distribution/symmetric

Different = skewed/asymmetric

500

The four steps of hypothesis testing

1. State statistical hypothesis
2. Compute test statistic
3. Determine p-value
4. Draw appropriate conclusions

500

Difference between replication and pseudoreplication

Replication: all values are independent 

Pseudoreplication: non independent values analyzed as independent 

500

What is confirmation bias?

Researchers are more likely to record data that supports their prior predictions

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