Week 8 Flashcards

1
Q

Independent variable

A

What you change

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2
Q

Dependent variable

A

What you measure

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3
Q

Hypothesis

A

Expected results, deduced from theory or findings from other studies, with logical reasoning

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4
Q

Null hypothesis

A

Statement of no difference/no relationship, tested using statistics

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5
Q

What are descriptive statistics

A

Provide some valuable insight into our data

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6
Q

What are inferential statistics

A

Allows you to make predictions from that data

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7
Q

What are correlation statistics

A

Allows us to tell whether a relationship exists between 2 variables

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8
Q

What is a type 1 error?

A

False positive

Error made when one accepts something as true that is actually false

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9
Q

What is a type 2 error

A

False negative

Error made when one accepts something as false that is actually true

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10
Q

What is a P-value

A

P = Probability of error

Lower = Better

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11
Q

The lower the P value the more confident you can be that your finding is a “true” result

A

Yes

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12
Q

What makes a result significant?

A

If the P value is <0.05

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13
Q

What is a paired samples t-test

A

Used to test two sample means, collected from the same group on 2 separate occasions are significantly different from each other.

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14
Q

What is unpaired samples t-test

A

Allows us to test whether sample means from different populations are significantly different from each other.

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15
Q

What is an R value?

A

The coefficient of correlation is a quantitative value of the relationship between two or more variables

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16
Q

R value ranges

A

.00 = No correlation
1.00 = Perfect correlation

17
Q

2 tests used to determine correlation between two variables

A

Pearson’s correlation coefficient - Parametric

Spearman rank - non parametric