Back to marketplace

6.1 Statistical Analysis

No description yet. This curated deck is ready for daily study.

Total cards: 13•Content version: v4•Public deck•Updated: 8/1/2026

Card preview (13)

#1
Front (Question)

Quantitative

Back (Answer)

measured using a naturally occurring numerical scale

#2
Front (Question)

Qualitative

Back (Answer)

deals with descriptions

#3
Front (Question)

Standard deviation

Back (Answer)

a measure of the variability or dispersion of a data set

#4
Front (Question)

What are the statistics of percentages of standard deviation?

Back (Answer)

A normal distribution approximately 68% of the values fall within plus or minus one and approximately 95% for two standard deviation

#5
Front (Question)

What does a low sd mean?

Back (Answer)

data points tend to be close to the mean, the data is more precise and reliable

#6
Front (Question)

What does a high sd mean?

Back (Answer)

data is more “spread out”, less precise and reliable

#7
Front (Question)

What do overlaps in error bars mean?

Back (Answer)

No overlap=not a significant difference Large overlap=there is a significant difference

#8
Front (Question)

Coefficient of variation

Back (Answer)

it is the ratio of the standard deviation to the mean and expressed as a percentage

#9
Front (Question)

Why might it be useful to use coefficient of variation instead of standard deviation?

Back (Answer)

If they have different units e.g. kg and seconds

#10
Front (Question)

T-test

Back (Answer)

it is a statistical test that helps us determine the significance of the difference between the means of two sets of data

#11
Front (Question)

Correlation

Back (Answer)

a trend in the results used to define the extent of a relationship between two variables (correlation DOESN’T mean causation)

#12
Front (Question)

Pearson’s r

Back (Answer)

measures the strength of the linear relationship between two variables

#13
Front (Question)

Coefficient of determination

Back (Answer)

it is how much variability of one factor can be caused by its relationship to another related factor