Week 9 Flashcards

1
Q

General z statistic

A
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2
Q

Pooled variance

A
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3
Q

When to use 2 sample tests

A

2 independent random samples
Hypothesise that mean of first if less than mean of second
Therefore H_0 is means are equal

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4
Q

Deduce z test stat for two sample test

A
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5
Q

Z stat for comparing proportions

A
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6
Q

Testing ‘no difference’ for comparison of proportions (z)

A
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7
Q

z test requires you to know

A

Population sd

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8
Q

Dist of Xbar ? Biased? Consistent?

A

Unbiased , consistent

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9
Q

Estimator for variance? Biased? Consistent?

A

Unbiased , consistent

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10
Q

Form T stat, which dist

A

Takes t dist w (n-1) degrees of freedom

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11
Q

2 sample t test? Null? Initial z?

A
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12
Q

Pooled estimator for 2 sample t test

A
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13
Q

Replace pooled estimator in z test for 2 sample t test

A
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14
Q

Place W into T test? Why? How?

A
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15
Q

Relate α % confidence interval to null hypothesis

A

Confidence interval is the set of value for the parameter which would not have caused us to reject the null at the (1-α)% confidence level

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16
Q

Denote the test stat to reject the null hypothesis μ=μ_0 at the 5% confidence level and the associated dist

A
17
Q

Draw Z test, T test decisión tree

A
18
Q

At what n does t dist become practically same as z

A

N>=60

19
Q

Χ^2 test is more useful for

A

Categorical data

20
Q

Χ^2 statistic

A

Where n_i is the # of observations in category I
p_i is probability of each n trial being in category i

Basically (actual - expected)^2 / expected

21
Q

Expected count in each category for χ^2 test should always be

A

Atleast 5

22
Q

Goodness of fit

A

To check using χ^2 wether a model (eg poussin) or categories fit

23
Q

What is α for ‘Significant level’?

A

5%

24
Q

What is α for ‘highly Significant level’?

A

1%