Chapter 7 Flashcards

1
Q

Hypothesis testing for population mean

A

A

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2
Q

Large sample

A

K

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3
Q

N<30 and normal population

A

K

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4
Q

Null hypothesis

A

S

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5
Q

Alternative hypothesis

A

S

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6
Q

P value and alpha

A

D

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7
Q

If p value less than or equal alpha

A

D

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8
Q

If p value bigger than alpha

A

S

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9
Q

Type of error

A

F

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10
Q

Single population mean

A

S

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11
Q

Diiference between two population mean

A

D

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12
Q

Diiference between two population mean

A

D

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13
Q

Paired comparisons

A

S

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14
Q

Paired comparisons

A

S

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15
Q

Single population proportion

A

S

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16
Q

Single population variance

A

S

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17
Q

The ratio of two population variance

A

S

18
Q

Assumption of chapter 7

A

C

19
Q

mean of all k population means

A

Y

20
Q

represents the difference between the mean of the jth population and the grand
mean

A

Y

21
Q

amount by which an individual measurement differs from the mean
of the population to which it belongs

A

H

22
Q

The k sets of observed data constitute k independent random samples from the
respective populations.

A

Y

23
Q

Each of the populations from which the samples come is normally distributed with
mean mj and variance s 2 j.

A

Y

24
Q

Each of the populations has the same variance. That is, s 2
1¼s2
2 ¼ …s2
k ¼ s 2 the
common variance

A

Y

25
Q

The tj are unknown constants and P tj ¼ 0 since the sum of all deviations of the mj
from their mean, m, is zero.

A

Y

26
Q

The eij have a mean of 0, since the mean of xij is mj.

A

H

27
Q

The eij have a variance equal to the variance of the xij,

A

Y

28
Q

The eij are normally (and independently) distributed.

A

H

29
Q

typical value from the overall population.

A

Y

30
Q

Each xij that is observed constitutes a random independent sample of size 1 from one
of the kn populations represented.

A

T

31
Q

Each of these kn populations is normally distributed with mean mij and the same
variance s2. This implies that the eij are independently and normally distributed with
mean 0 and variance s2.

A

T

32
Q

The block and treatment effects are additive. This assumption may be interpreted to
mean that there is no interaction between treatments and blocks.

A

U

33
Q
  1. The subjects under study constitute a simple random sample from a population of
A

Y

34
Q

Each observation is an independent simple random sample of size 1 from each of kn
populations, where n is the number of subjects and k is the number of treatments to
which each subject is exposed.

A

U

35
Q

The kn populations have potentially different means, but they all have the same
variance.

A

Y

36
Q

The k treatments are fixed; that is, they are the only treatments about which we have
an interest in the current situation. We do not wish to make inferences to some larger
collection of treatments.

A

U

37
Q

There is no interaction between treatments and subjects; that is, the treatment and
subject effects are additive.

A

Y

38
Q

The observations in each of the ab cells constitute a random independent sample of
size n drawn from the population defined by the particular combination of the levels of the two factors.

A

Y

39
Q

Each of the ab populations is normally distributed.

A

Y

40
Q

The populations all have the same variance.

A

H