Stats Tests Flashcards

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1
Q

Stats Tests-
Spearman’s Rho

Criteria

A

Spearman’s Rho
Criteria:
-Hypothesis states a CORRELATION between 2 CO VARIABLES
-The sets of data are INTERVAL- pairs of scores from ONE PERSON’
-The data is ORDINAL

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2
Q

Stats Tests-
Spearman’s Rho

Formula

A

Rs- 6 E D2
1- —————
n(n2-1)
D= Difference
n= Number
Rs= Spearman’s Rho

1) Rank the data
2) Calculate the difference, Square difference and add up total to get D2
3) Calculate observed value of Rs

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3
Q

Stats Tests-
Chi Square

Criteria

A

Chi Square
Criteria:
-Hypothesis tests DISTRIBUTION OF OBSERVATIONS in to categories- DIFFERENCES in data, relationship between 2 variables
-Uses INDEPENDENT GROUPS DESIGN, divisions within categories must be EXCLUSIVE- person full into one and only ONE of these categories
-Looks at PATTERN of OBSERVATIONS, will tell us if certain combinations of categories occur more frequently that we would EXPECT by change
-Data is NOMINAL
-Uses CONTINGENCY TABLE

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4
Q

Stats Test-
Chi Square

Formula

A

X2= (o-e)2
E ————-
e
O= Observed value
e= Expected value
X2= Chi square value

1)Put raw data into contingency table
2) For each cell in original contingency table calculate EXPECTED VALUE= row total x column total
————————————
Grand total
3) For each cell SUBTRACT the expected value from the OBSERVED VALUE= (o-e)
4)SQUARE the values from the previous step= (o-e)2
5)DIVIDE the results from the previous step by e
6)Add up all the values to get X2
7)To find out if value is SIGNIFICANT- work out DEGREES OF FREEDOM= (rows-1)x(column-1)

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5
Q

Stats Tests-
Mann Whitney U

Criteria

A

Mann Whitney U
Criteria:
-The hypothesis states a DIFFERENCES between the 2 sets of data
-The sets of data are INDEPENDENT DATA from separate groups
-The data is ORDINAL

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6
Q

Stats Tests-
Mann Whitney U

Formula

A

Ua= nQnB + na (na +1)
—————— - ERa
2
Na=
Nb=

Ub= nAnB + nb(nb+1)
-—————- - ERb
2. Ra=
Rb=

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7
Q

Stats Tests-
Wilcoxon T

Criteria

A

Wilcoxon T
Criteria:
-The hypothesis states a DIFFERENCE between the 2 sets of data
-The sets of data are REPEATED PAIRS of scores from one person
-The data is ORDINAL

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8
Q

Stats Test-
Wilcoxon T

Formula

A

1) Find the DIFFERENCE
2) RANK the difference
3) Rank POSITIVE and NEGATIVE rank values
4) ADD UP the positive and negative values
5) SMALLEST NUMBER= T value
6) N value= no of NON ZERO DIFFERENCES
7) Find CRITICAL VALUE

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9
Q

Levels of significance

A
  • The significance level= the probability of rejecting the NULL HYPOTHESIS when it is TRUE
  • eg significance level: 0.05 indicates 5% risk of concluding a difference exists when there is no ACTUAL DIFFERENCE
  • Mainly use 0.05
  • 0.01 only used in situations where the research is testing an important medical treatment
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10
Q

Drawing Conclusions

A
  • Always state the result from the statistical test, the comparison between the critical and calculated value
  • State whether the result is SIGNIFICANT or NOT
  • Refer back to your HYPOTHESES stating which one you will ACCEPT, and which one you will REJECT
  • Explain how the FINDINGS relate to your ORIGINAL PROBLEM and if the results SUPPORT, or CONTRADICT any previous research mentioned
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