Chapter 1 (Statistics) Flashcards
(44 cards)
Data based on observations and descriptions (involves senses)/ value cannot be 0
Qualitative Data
Data based on numbers of measurements/ can have a value of 0
Quantitative Data
A proposition/ makes predictions, is testable, falsifiable, never proven
Hypothesis
Broad explanation for things already shown in data, backed by a lot of evidence/ Still testable and falsifiable/ gives us the ability to make predictions
Theory
Collection and analysis of data without the need for a preconceived hypothesis/ Goal to gather more information/ ex: testing drugs to look for action against disease
Discovery-based science
- Observations
- Hypothesis formation
- Experimentation
- Data analysis
- Conclusion
Scientific Method
Group that is controlled/ not subjected to one specific variable
Control Group
The group that is subjected to a variation that does not occur in the control group/ used to test hypothesis
Experimentation Group
Variable that you are changing in an experiment
Independent Variable
The variable of interest in an experiment
Dependent Variable
The entire set of items that you are interested in
Population
A portion of the population
Sample
Proposes that no statistical significance exists among a given set of observations
Null hypothesis
Proposes that there is statistical significance among a given set of observations
Alternative Hypothesis
The outcome of the experiment is not to due to chance alone
Statistically Signifiant
Value that tells you how likely it is that the two groups are different
Probability that the results in your sample occurred by chance
P-value
Tells us how true the calculated mean and standard deviation from the experiment is according to the population
Gives us P-value
Student T-test
The dispersion of values from the average (mean) value
Standard Deviation
Low Standard Deviation
High Standard Deviation
How do we do we test the null hypothesis?
Do the students T-test to determine the likelihood that the two samples are statistically different from one another
What is the student’s T-test for?
A statistical approach based on small sample sizes/ representative of what you’d measure if you had many more data items
3 things you need to do the T-test:
- Mean (Average) of your two groups
- Standard deviation/error of the two groups
- N, or sample number for each group
If p<__, it means that you are 95% positive that the two groups are statistically different
0.05