Unit 1: Statistical Analysis Flashcards
(50 cards)
What factors determine the number of samples in an experiment?
Time, money, and people available to do the science
What does observation result in?
The collection of measurable data
What do samples represent in an experiment?
The entire population of the sampled thing
What is statistics?
A branch of mathematics which allows us to sample small portions from habitats, communities, or biological populations, and draw conclusions about the larger population by mathematically measuring the differences and relationships between sets of data.
What is the mean?
The average of the data points; the central tendency of the data
What is the range?
Calculating the difference between the largest and smallest observed values
What are outliers?
Unusually large or small data points that would have a great effect on the range
What is standard deviation?
A measure of how the individual observations of a data set are dispersed or spread around the mean
What is the abbreviation for standard deviation?
SD
What are error bars?
A graphical representation of the variability of the data
What can error bars be used to show?
Either the range of data or the standard deviation on a graph
What do we use standard deviation to do?
To summarise the spread of values around the mean and to compare the means and spread of data between 2 or more samples
What percent of all values lie within +/- 1 standard deviation of the mean in normal distribution?
68%
What percent of all values lie within +/- 2 standard deviations from the mean in normal distribution?
95%
What size is the standard deviation when the data points are clustered together?
Small
What size is the standard deviation when the data points are spread apart?
Large
What is the shape of a graph of normal distribution?
Bell curve
If the bell curve is flatter, what size would the standard deviation be?
Large
If the bell curve is taller and thinner, what size would the standard deviation be?
Small
Why is standard deviation showing the spread of data around the mean useful?
It tells you how many extremes are in the data
If there are many extremes in the data, what size will the standard deviation be?
Large
If there are few extremes in the data, what size will the standard deviation be?
Small
How is the standard deviation useful for comparing the means of two or more sets of data?
When comparing two sets of data which have exactly the same mean, we must also look at the standard deviation, because if the standard deviation of one data set is much higher than the other, it indicates a very wide spread of data around the mean for that data set; this makes us question the experimental design that is cause this wide variation in the data
Why is it important to calculate the standard deviation in addition to the mean of a data set?
If we looked only at the mean, we would not see that one data set may be more variable than the other