Stats Flashcards

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1
Q

Data definition

A

Recorded observations

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2
Q

Types of data

A

qualitative and quantitative

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3
Q

Qualitative data

A

descriptions, value cannot be 0, pictures, words

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4
Q

Quantitative data

A

recorded measurements, can have a value of 0, NUMBERS

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5
Q

Hypothesis definition

A

a proposition, is testable and should be falsifiable, makes predictions, never really proven, made based on observations

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6
Q

Theory definition

A

broad explanation, backed by lots of evidence, a theory gives us the ability to make predictions, can almost treat them like a fact

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7
Q

Hypothesis testing steps

A

observations, hypothesis formation, experimentation, data analysis, conclusion

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8
Q

Discovery based science

A

collection and analysis of data without the need for a preconceived hypothesis, goal is to gather more info. Ex: test drugs to look for action against a disease

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9
Q

Control group

A

not subjected to one specific variable, participants who do not receive the experimental treatment

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10
Q

Experimental group

A

what you are changing (purpose of the experiment), subjected to some type of variation that does not occur in control group

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11
Q

Independent variable

A

What you are changing in your experiment, should influence the dependent variable

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12
Q

Dependent variable

A

The variable of interest, affected income

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13
Q

Scientific method steps

A

observations, hypothesis formation, experimentation, data analysis, conclusion

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14
Q

Population

A

entire set of items that you are interested in

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15
Q

Sample

A

Portion of population

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16
Q

Null hypothesis

A

proposes that NO statistical significance exists among a given set of observations ex: fertilizer does no affect plant growth
-null = no difference

17
Q

Alternative hypothesis

A

proposes there is a statistical significance among a given set of observations ex: fertilizers really does cause a change in plant growth

18
Q

Standard deviation

A

the dispersion of values from the average or mean, how spread out the data is, larger standard deviation means data is more spread out, lower is data is more clustered around mean

19
Q

Student T-Test

A

Tells you how significant the differences between group means are (does data from sample go to the whole population)

20
Q

What do you need to do a Student T-Test

A

-To do a T-test you need the mean, standard deviation and N (sample number for each group)

21
Q

P-value

A

how valid are my results, p value should be LESS than 0.05 to be valid, it means that you are 95% positive that the two groups are statistically different, means if you repeated the experiment, you would be likely to get the same results

22
Q

Statistically significant

A

if experiment was repeated, would you get the same result