Biostatistics

Biostatistics

Data dealing with biological sciences

Sample population

Subset of the population with similar characteristics

Variable

Charscteristic or attribute that describes something

Independent variable

A variable that can be changed

Dependent variable

The data, result or outcome of a study

Continuous data

Measured data

Discrete Data

Numbered data

Nominal data

Descriptive words

Ordinal data

Order matters

On a bar chart, the wider the curve the bigger the _______

Standard deviation

Pie charts

Compare parts of the data to the whole data set

Y equals

Dependant variable

X equals

Independent variable

Regression analysis

Compares how the dependent variable is affected by the independent variable

Parameter

Numerical test

Parametric test used

When data is normally skewed

Non parametric test when

Data is skewed

T-test when

Comparing 2 groups

ANOVA when

Comparing 3 plus groups

If P value is less than 0.05

Significant result

If P value is more than 0.05

No result

Paired sample

Is there a difference between samples under different circumstances

Independent samples

Difference between two different independent samples

One sample test

Comparing a sample group against a standard value

One way ANOVA test

Dependent quantitative vs independent categorical

Two way ANOVA test

Two dependent categorical samples

Non parametric tests

Mann Whitney U test

Non parametric test

Kruskal Wallis Test

Independent groups

Unpaired groups

Dependent groups

Paired groups

Tests for categorical data

Fisher or chi square test

A 1 tailed t-test

Is there one difference between groups

A 2 tailed t-test

Any difference between 2 groups

In a 1 way ANOVA test the categorical independent test there should be at least

3 levels

Stem and leaf plot

Assess group and individual data quickly and easy

Frequency table

Quantitative data

Bar graph

Qualitative data

Histogram

Frequency distribution if quantitative data

Line graph

Compare data of two data samples

Biomodal

A distribution of two modes

If distribution of data set is positively skewed

The mean is bigger than the mode

In regression anaylsis, variable being predicted is

Dependent variable

Standard deviation refers too

Average of individual deviations

Type 1 error

Falsely rejects a null hypothesis when in fact significance occurred