PARAMETRIC Pt.1 Flashcards

1
Q

2 types of hypothesis Tests

A

o Parametric Test
o Nonparametric test

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2
Q

PARAMETRIC TESTS

A
  • Assumed distribution is NORMAL
  • Assumed variance is homogenous
  • Typical data is/are ratio or interval
  • Data set relationships are usually independent
  • Usual central measure is mean
  • Benefits: can draw more conclusions
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3
Q
  • Assumed distribution is NORMAL
  • Assumed variance is homogenous
  • Typical data is/are ratio or interval
  • Data set relationships are usually independent
  • Usual central measure is mean
  • Benefits: can draw more conclusions
A

PARAMETRIC TESTS

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4
Q

Analysis where we compare against our historical or global value
o t-test
o z-test

A

ONE SAMPLE: PARAMETRIC TEST

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5
Q

Analysis where we compare a control group versus test group

A

TWO SAMPLE: PARAMETRIC TEST

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6
Q

2 samples have no relationship
with each other

A

Independent Samples

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7
Q

Samples are dependent to each
other

A

Paired Samples

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8
Q

Normal
Homogeneous
Ratio or Interval
Independent
Mean
Can draw more conclusions

A

Parametric

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9
Q

Any
Homogenous and Heterogeneous
Ordinal or Nominal
Any
Median
Simplicity: Less affected by outliers

A

Non-parametric

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10
Q

Samples must be independent of each other. There can be no relationship between the subjects in each sample

A

Z TEST FOR TWO MEANS

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11
Q

Z TEST FOR TWO MEANS: The standard deviations of both populations must be

A

known

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12
Q

Z TEST FOR TWO MEANS: Samples must be _______________ of each other. There can be no relationship between the subjects in each sample

A

independent

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13
Q

Z TEST FOR TWO MEANS: If the sample sizes are _____ than 30, the population must be normally or approximately normally distributed.

A

less

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14
Q

observed value –

A

mean difference

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15
Q

expected value –

A

hypothesis

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16
Q

If there is no difference in population means (based on the second hypothesis), subtracting them will give the difference of ____

A

zero

17
Q

T OR F| But if there is difference in population means, subtracting them will give a number other than zero

A

T

18
Q

Z TEST FOR TWO MEANS: Using __ value to compute for p-value

A

z-value

19
Q

FOR Z TEST FOR TWO MEANS: P-value to compare with ______

A

alpha

20
Q

a parametric test that is usually used to measure significant difference of small sample sizes.

A

T TEST

21
Q

Compares same variable from same group

A

Dependent t-test

22
Q

Compares same variable but different group

A

Independent t-test

23
Q

Use T-test when?

A

✓ When standard deviation is not known
✓ When sample size is less than 30

24
Q

is used for the comparison of two variance or standard deviation

A

F test

25
Q

In statistics, the number of ________________ is the number of values in the final calculation of a statistic that are free to vary (sample size – 1).

A

degrees of freedom

26
Q

HOW TO USE THE F TEST
→ For the comparison of two sample / population variances or standard deviations which should be _______________ from each other

A

independent

27
Q

Characteristics of the F Distribution
1. The values of F cannot be _______, because variances are always ___________ or zero.
2. The distribution is ________ skewed.
3. The mean value of F is approximately equal to __.
4. The F-distribution is a family of curves based on the degrees of freedom of the variance of the numerator and the degrees of freedom of the variance of the denominator

A
  1. negative/ positive
  2. positively
  3. 1