Chapter 1 (Statistics) Flashcards

(44 cards)

1
Q

Data based on observations and descriptions (involves senses)/ value cannot be 0

A

Qualitative Data

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2
Q

Data based on numbers of measurements/ can have a value of 0

A

Quantitative Data

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3
Q

A proposition/ makes predictions, is testable, falsifiable, never proven

A

Hypothesis

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4
Q

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

A

Theory

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5
Q

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

A

Discovery-based science

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6
Q
  1. Observations
  2. Hypothesis formation
  3. Experimentation
  4. Data analysis
  5. Conclusion
A

Scientific Method

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7
Q

Group that is controlled/ not subjected to one specific variable

A

Control Group

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8
Q

The group that is subjected to a variation that does not occur in the control group/ used to test hypothesis

A

Experimentation Group

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9
Q

Variable that you are changing in an experiment

A

Independent Variable

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10
Q

The variable of interest in an experiment

A

Dependent Variable

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11
Q

The entire set of items that you are interested in

A

Population

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12
Q

A portion of the population

A

Sample

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13
Q

Proposes that no statistical significance exists among a given set of observations

A

Null hypothesis

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14
Q

Proposes that there is statistical significance among a given set of observations

A

Alternative Hypothesis

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15
Q

The outcome of the experiment is not to due to chance alone

A

Statistically Signifiant

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16
Q

Value that tells you how likely it is that the two groups are different

Probability that the results in your sample occurred by chance

A

P-value

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17
Q

Tells us how true the calculated mean and standard deviation from the experiment is according to the population

Gives us P-value

A

Student T-test

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18
Q

The dispersion of values from the average (mean) value

A

Standard Deviation

19
Q
A

Low Standard Deviation

20
Q
A

High Standard Deviation

21
Q

How do we do we test the null hypothesis?

A

Do the students T-test to determine the likelihood that the two samples are statistically different from one another

22
Q

What is the student’s T-test for?

A

A statistical approach based on small sample sizes/ representative of what you’d measure if you had many more data items

23
Q

3 things you need to do the T-test:

A
  1. Mean (Average) of your two groups
  2. Standard deviation/error of the two groups
  3. N, or sample number for each group
24
Q

If p<__, it means that you are 95% positive that the two groups are statistically different

25
Qualitative Data
Data based on observations and descriptions (involves senses)/ value cannot be 0
26
Quantitative Data
Data based on numbers of measurements/ can have a value of 0
27
Hypothesis
A **proposition**/ makes **predictions,** is **testable**, **falsifiable**, *never proven*
28
Theory
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
29
Discovery-based science
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**
30
Scientific Method
1. Observations 2. Hypothesis formation 3. Experimentation 4. Data analysis 5. Conclusion
31
Control Group
Group that is controlled/ not subjected to one specific variable
32
Experimentation Group
The group that is subjected to a variation that _does not_ occur in the control group/ used to test hypothesis
33
Independent Variable
Variable that you are changing in an experiment
34
Dependent Variable
The variable of interest in an experiment
35
Population
The entire set of items that you are interested in
36
Sample
A portion of the population
37
Null hypothesis
Proposes that **no** statistical significance exists among a given set of observations
38
Alternative Hypothesis
Proposes that there **is** statistical significance among a given set of observations
39
Statistically Signifiant
The outcome of the experiment is not to due to chance alone
40
P-value
Value that tells you how likely it is that the two groups are different Probability that the results in your sample occurred by chance
41
Student T-test
Tells us how true the calculated mean and standard deviation from the experiment is according to the population Gives us P-value
42
Standard Deviation
The dispersion of values from the average (mean) value
43
Low Standard Deviation
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44
High Standard Deviation
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