Inferential statistics Flashcards

1
Q

What are inferential statistics?

A

make inferences about the population based on the samples tested
-The tests allow us to infer that a pattern in the data is likely to be due to chance so the hypothesis can be accepted and rejected

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2
Q

What are the 4 levels of measurments?

A

-Nominal
-Ordinal
-Interval
-Ratio

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3
Q

What is step one of inferential statistics

A

Look if the data is nominal or ordinal + (ordinal, interval and ratio)

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4
Q

What is step 2 of inferential statistics?

A

If the reaserchh is correlation or difference

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5
Q

What is a difference in inferential statistics?

A

A test for difference means that changes in one variable brings out another
A cause and effect relationship between variables

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6
Q

What is correlation in inferential statistics?

A

Relationship between variables isn’t always due to casual link

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7
Q

What design was used in your research?

A

-Independent measures- independant data
-Repeated measures- Related
-Repeated measures- Related

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8
Q

How do we use the correct test- Acronym

A

I- Independant data (independent measures)
Really- Related data (Repeated measures/ matched pairs)
Could- Correlation
Not- Nominal Data
Calculate- Chi-squared test
Sums- Sign test
On- Ordinal data
Monday- Mann Whitney U test
Without- Wilcoxon
Smiling- Spearman’s rho

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9
Q

Test table?

A

Indene Related Correl
-ndant Data ation
data MP
IM RM

Nom Chi Sign
ial squared test
Data test

Ordi Mann Wilcoxon
nal Whitney Spea
Data U test rman
Rho

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10
Q

What is probability expressed as?

A

P

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11
Q

What do you do after the inferential test is carried out?

A

decide if we reject or accept the hypothesis to do this we determine the probability level

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12
Q

What is the standard probability?

A

0.05

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13
Q

What’s the stringent level of probability?

A

In medical research

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14
Q

What should a good scientific theory be?

A

Falsifiable, its ability to be proven wrong or right

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15
Q

What should we do once we have inferential test findings?

A

if its significant (not due to chance)
Or if its non significant (due to chance)

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16
Q

What should we do with hypothesis if findings are significant?

A

Accepting the alternative and reject the null hypothesis

17
Q

What should we do with hypothesis if findings are non-significant?

A

Accept the null and reject the alternative

18
Q

How do we find if findings are significant and non signifant?

A

By comparing our observed (calculated) value with our critical values
In some tests the calculated/observed value must be equal to or less then critical value. Or observed must be more or equal to critical value

19
Q

Spearman’s rho rules for significance?

A

Observed values must be equal to or greater than critical value to be signifinces

20
Q

Chi squared test rules for significance?

A

Observed value of X>2 must be equal to or greater than critical value shown

21
Q

Sign test rule for significance?

A

Observed value must be equal to or less than critical value

22
Q

Wilcoxon test rule for significance?

A

Observed value must be equal to or less than critical value

23
Q

Mann-Whitney U test rule for significance?

A

Observed value must be equal to or less than critical value