Ch. 5, 8, 11 Flashcards

1
Q

The Percentile Point is at the….

A

Pth Percentile Rank

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2
Q

The Population Distribution involves the ?

A

Mean (mu) AND the Standard Deviation (sigma)

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3
Q

In a RANDOM sampling procedure, sample data are drawn from the ?

A

Population randomly & independently

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4
Q

The mean & the SD of the Sample Distribution are symbolized by:

A

X bar & s

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5
Q

Both the Population & Sample Distributions are distributions of:

A

RAW SCORES

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6
Q

Population Mean & Sample mean are …

A

Usually different from one another

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7
Q

Sampling Distribution is a distribution of :

A

SAMPLE MEANS

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8
Q

Mean of the Sample Means is symbolized by:

A

X bar & little x bar

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9
Q

Sample mean is assumed to be the same as

A

The Population Mean

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10
Q

The SD of the sampling distribution is called the:

A

Standard Error of the Mean (SE)

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11
Q

The Standard Error of the Mean is an index of

A

ERROR

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12
Q

The Standard Error of the Mean is estimated by:

A

the SD divided by the square root of N (sample size)

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13
Q

When the population SD is known the SE is computed by:

A

sigma (SD) divided by the square root of N (sample size)

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14
Q

When the population Standard Deviation is NOT known, the STANDARD ERROR is computed by:

A

s divided by the square root of N (sample size)

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15
Q

Distribution of the Sample means is called:

A

Sampling Distribution

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16
Q

How would you describe:

P.90 = 80

A

80 is at the 90th percentile rank

17
Q

How many Quartile points are there?

A

there are 3;

Q1, Q2, Q3

18
Q

what are the names of the quartile points & their percent’s ?

A

Lower Quartile is Q1 = 25
Middle Quartile is Q2 = 50
Upper Quartile is Q3 = 75

19
Q

Interquartile Range is:

A

Q3 - Q1

P.75 - P.25

20
Q

Semi Quartile Range is

A

Q3 - Q2 divided 2

P.75 - P.25 divided by 2

21
Q

Z score is a measurement of

A

Relative Standing on the SD unit

22
Q

Normal Distribution is

A

a theoretical distribution based on an Infinite # of cases

23
Q

In a Normal Distribution the Mean, Median, & Mode are

A

ALL identical AND they divide the distribution into equal halves

24
Q

ND is shaped how ?

ND is what about the central point?

A

ND is Bell shaped & Symmetrical about the central point

25
What is it called when the tails of the ND get closer to the x axis as they move AWAY from the Central point BUT never touch the x axis ?
Asymtotic to x-axis
26
SND stands for
Standard Normal Distribution
27
SND is a ND of
Standard Scores
28
A variety of distributions can be compared because all of them have the SAME
Mean: 0 | SD (1.0)
29
the SND has the same WHAT as the ND?
the same shape
30
WHAT doesn't change the SHAPE of the original distribution?
the Standardization aka z transformation doesn't change
31
What is an OTHER standard score ?
standard score = bz + a
32
When you compare T-scores & Z-scores what do you find ?
T-scores don't use negatives or decimals
33
We use a SAMPLE MEAN to
estimate the POPULATION MEAN
34
What does SRS stand for?
Simple.Random.Sampling
35
Name the 3 characteristics of SRS
1. Random: all elements in population have equal chance of being selected 2. Representative: Sample should represent ALL aspects of Population 3. Independent: selection of ONE element does not have any influence on selection of other elements
36
Central Limit Theorem:
Sampling distribution: * is normal when population distribution is Normal * approaches a ND as sample size increases even if the population is NOT normal
37
Estimations of population parameters:
we use the sample mean to estimate the population mean
38
Point estimation:
uses a Sample mean to estimate the population mean; there is NO index of error
39
Interval estimation:
uses a score interval to estimate the population mean; there IS an INDEX of ERROR *this one is better than point estimation*