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Biology 1114 > Spice Lab Results Analysis > Flashcards

Flashcards in Spice Lab Results Analysis Deck (14)
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1
Q

Continuous Data

A

can be measured on a continuum or scale, with numeric values that can be meaningfully subdivided into finer and finer increments, depending upon the precision of the measurement system.

2
Q

p vales for R^2 value

A

thresholds for statistical significance of R^2 values

Generally less than 0.5 to be considered significant

3
Q

R^2 value

A

generally for scatter plots

tells us how much of the variation in your dependent variable is explained by your independent variable.

4
Q

Type of data bar charts are good for

A

categorical

5
Q

Standard deviation

A

the spread of individual data points around the mean

represented by error bars on the bar graph

6
Q

t statistic

A

value in the t test formula:

tells you whether the means for data populations are significantly different from one another

7
Q

Bonferroni corrected p-value (definition)

A

when you set the p-value for your t test lower than 0.05 because you’ve used multiple t tests to compare more than two sets of data

THE NEW/CORRECTED P-VALUE YOU USE INSTEAD OF 0.05 (bc you used more than one t test)!!!

8
Q

Best fit/trend line

A

A straight line drawn through the center of a group of data points plotted on a scatter plot.

If the slope of this line has a R^2 close to 1, the x axis variable and y axis variable are considered to have a close correlation

9
Q

Bonferroni Corrected P-value (formula)

A

0.05/number of t-tests performed

10
Q

3 variables in the t statistic value

A
  1. how different the means in question are
  2. how much the individual data points vary in each group
  3. how big the sample size is
11
Q

t test

A

T-tests are used to compare two means while integrating information about sample sizes and spread of the data about the mean of each group

12
Q

Mean

A

same as average

the sum of all numbers in a group divided by the total number of samples

13
Q

Type of data scatterplots are good for

A

continuous

14
Q

Categorical Data

A

Categorical variables represent types of data which may be divided into groups.

exp. of categorical variables are race, sex, age group, and educational level.