Chapter 8 Flashcards

1
Q

Hypothesis

A

Claim about the property of the population

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2
Q

Hypothesis test (test of significance)

A

Procedure testing claim about a property of a population .

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3
Q

p

A

population proportion

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4
Q

Things to consider

A

Context, source, and sampling data

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5
Q

Null Hypothesis, Ho

A

A statement or value of pop. parameter equal to claimed value; no change or effect. Always test the Ho. =

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6
Q

Alternative hypothesis, research hypothesis, H1, HA

A

A statement or value of pop. parameter differs from null. > (right tailed) ,< (left tailed),≠ (2 tailed)

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7
Q

Test statistic

A

Sample value used to determine if we accept or reject null hypothesis

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8
Q

Test statistic: Proportion

A

z=p̂-p/✓pq/n

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9
Q

Test statistic: Mean

A

z=x̄-μ/σ/✓n or t=-x̄-μ/s/✓n

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10
Q

Test statistic: Standard deviation

A

x²=(n-1) s²/σ²

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11
Q

Critical region, rejection region

A

Set of values to reject null hypothesis (area after critical value)

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12
Q

Significance level, α

A

P that the test stat will fall in critical region when null is true, P of making a mistake of rejecting the null.

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13
Q

P-value definition

A

P of getting a value in the critical region.

P-value≤α=no go P-value>α=null fly

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14
Q

Type 1 error, α

A

Mistake of rejecting the null when it’s true

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15
Q

Type 2 error, β

A

Mistake of failing to reject the null when it’s false

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16
Q

Power (1-β)

A

P of rejecting a false null. 0.8 is common

17
Q

P value procedure left tailed

A

Area to left of test statistic

18
Q

P value procedure right tailed

A

Area to right of test stat

19
Q

P value procedure 2 tailed

A

2x the area of the tail the test stat is in

20
Q

Solving: P-value Medthod

A

Find z for p. Look at area in tail(s) compared to α. Make sure area relates to tails.
P-value≤α=no go P-value>α=null fly

21
Q

Solving: Traditional Method

A

Find z of p. Find z of α. Compare z’s. If test stat falls in critical region, reject Ho

22
Q

Solving: CI

A

Find CI with E. (Level of confidence:1 tailed:1-2α 2 tailed:1-α)
If CI does not include pop parameter, reject null.

23
Q

Final statement

A

There (is or is not) sufficient evidence to (warrant rejection >< or support≠) the claim that (original claim).

24
Q

8 steps to solve:

A

Step 1, Symbolic form
Step 2, If step 1 is false then (opposite step 1)
Step 3 If there is no equal sign, use I as H1.
Step 4 Select a significance level).05 or 0.01.
Step 5 Determine what formula and chart to use
Step 6 Find test stat and (P-value or critical region)
Step 7 Fail to or reject the null
Step 8 Restate with “significant evidence”

25
Q

Requirements Normal Distribution Approximation

A
  1. Simple random sample
  2. binomial requirements
  3. np≥5 nq≥5
26
Q

How to find μ and σ

A

μ=np σ=✓npq

27
Q

Exact method

A

Requirement check, P value of null. (=x or more, p̂>p=2x x or more, p̂<p=2x x or less) Use

28
Q

Requirements mean: σ known

A

Simple random, σ is known, simple random or n>30

29
Q

Finding P-value: σ unknown

A

They must tell you the area. look at #’s in row of df. Get the range of area in tail based off rows actual area is in-between.