Get Started. It's Free
or sign up with your email address
Stats by Mind Map: Stats

1. Continuous vs Categorical data

1.1. Categorical

1.1.1. Male vs Female

1.1.2. Red light, blue light, green light

1.1.3. Organic fertiliser vs artificial fertiliser

1.2. Continuous

1.2.1. Height, weight, pH, ppm, kPa

1.2.2. Could be at any point in a range of values E.g. 2.15cm vs 2.18cm

1.3. Discrete or ordinal

1.3.1. Can only have a particular value- e.g. numbers

2. Independent variable - What you changed

2.1. Continuous e.g. temperature, pH

2.1.1. Dependent variable- what you measured? Continuous - e.g. temperature, CO2 volume produced Pearson's regression Eg. measured with a ruler/probe/sensor Discrete - e.g. counted Counted? Frequencies? Measured without being a continuous?

2.2. Categoric - e.g. drug 1 vs drug 2 e.g. boy v girls or discrete

2.2.1. Dependent variable? Continuous? E.g. pH/length Comparing means of two groups? Comparing means of more than two groups (3 or more) Counted things where there isn't clear theory Discrete/Ordinal data - e.g. number or count or frequency Counted or frequency?

3. When to use error bars and what type

3.1. Is you data normal?

3.1.1. Ie would most of it likely fall into normal distribution E.g. Weight, height, activity of enzyme at a particular pH etc Standard deviation error bars

3.2. Is your data non-normal?

3.2.1. Things where you aren't sure of any theory behind it Use a max-average, average minus min bar Min-max bars Max is 50, average is 25, max- average = 25. Positive error bar is 25 Min 22, average is 25m average - min = 3 so negative error bar = 3

3.2.2. Use range bars to show max and min

3.2.3. Distribution

3.2.4. Counted data

4. U

5. Vassarstats

5.1. Use this to do your stats