T-TEST Flashcards

1
Q

Developed t-Test around 1905, for dealing with small

samples in brewing quality control.

A

William S. Gossett

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2
Q

What type of t-test compares the
mean of a single
sample to known
population mean

A

ONE SAMPLE

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3
Q

what type of t-test, whether the
population mean
is different from a
constant

A

ONE SAMPLE

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4
Q
what type of t-test compares the
mean scores of
two different
groups of 
subjects
A

INDEPENDENT

SAMPLE

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5
Q
test whether the 
population mean or 
differences between 
paired scores is 
equal to zero
A

INDEPENDENT

SAMPLE

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6
Q
test that compares the 
mean scores for 
the same group of 
subjects on two 
different occasions
A

PAIRED SAMPLE

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7
Q

test the relationship
between two
categories and a
quantitative variable

A

PAIRED SAMPLE

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8
Q

Assumption of ______________is common requirement in all the
types of t-tests shown above.

In which, the data set must be, or even approximately,
normally distributed.

A

normality

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9
Q

If variances are equal: _______t-test for

independent samples

A

Classical students’

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10
Q

If variances are not equal: _________ Test.

A

Welch

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11
Q

This test is more practical and realistic because population
parameters are not usually known or calculated, that’s why
there are only assumptions.

A

ONE SAMPLE T-TEST

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12
Q

o The value of the population standard
deviation is not known.
o The population is normally distributed and/or
the sample size is large (n > 30).

A

ONE SAMPLE T-TEST

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13
Q

• Both samples are simple random samples.
• The two samples are independent.
• σ1 an σ2 are unknown and assumption is made about
the equality of σ1 and σ2.

A

INDEPENDENT SAMPLES T-TEST

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14
Q

Either or both of these conditions are satisfied: The two
sample sizes are both large (with n1 > 30 and n2 > 30)
and/or both samples come from populations having
normal distribution.

A

INDEPENDENT SAMPLES T-TEST

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15
Q

If a sample is normally distributed, it must satisfy the

normality check; hence, the result must be ______.

A

not

significant

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16
Q

if the sample values selected from one population are
not related to or somehow paired or matched with the
sample values from the other population.

A

Independent Samples

17
Q

if the sample values are paired (e.g. two measurements
from the same subject or matched pairs, where the
matching is based on some inherent relationship.)

A

Dependent Samples

18
Q

Requirements:
• The samples are simple random samples.
• The sample data are dependent.

A

PAIRED SAMPLES T-TEST

19
Q

The number of pairs of sample data is large (n > 30) and/or
the pairs of values have differences that are from a
population having a normal distribution

A

PAIRED SAMPLES T-TEST