STATS Flashcards

1
Q

represented by Ho, states that there is no difference between a
parameter and a statistic, or that there is no difference between two parameters.

A

Null hypothesis,

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2
Q

represented by Ha, states the existence of a difference
between a parameter

A

Alternative hypothesis,

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3
Q

is utilized when hypothesis involves direction.

A

one-tailed test

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4
Q

is used for a non-directional hypothesis.

A

A two-tailed test

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5
Q

usually designated by the alpha (α) symbol pertains to the degree of
confidence we require to reject the null hypothesis in favor of the alternative hypothesis.

A

level of significance,

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6
Q

is the range of values of the test statistic that signifies that there is
a significant difference and that the null hypothesis should be rejected.

A

critical or rejection region

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7
Q

occurs if you reject the null hypothesis when it is true.

A

type I error

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8
Q

occurs if you do not reject the null hypothesis when it is false.

A

type II error

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9
Q

To arrive at a decision, research requires a process known as the

A

test of
hypothesis.

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10
Q

is defined as a proposed explanation (may or may not be true) for a phenomenon
that can be used as a basis for further verification or investigation.

A

hypothesis

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11
Q

can only be right-tailed or left-tailed, which leans in the direction of the
inequality of the alternative hypothesis.

A

one-tailed test

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12
Q

pertains to the degree of
confidence we require to reject the null hypothesis in favor of the alternative hypothesis.

A

alpha (α) symbol

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13
Q

of
utilizing the probability value p as an index of the weight of evidence against a null hypothesis,

A

Ronald Fisher’s idea

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14
Q

of testing a null hypothesis against an alternative hypothesis.

A

Jerzy
Neyman and Egron Pearson’s notion

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15
Q

a hypothesis test is a threshold to which the value of the test statistic
in a sample is compared to determine whether or not the null hypothesis is rejected.

A

Critical or Tabular Value

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16
Q

In testing a hypothesis, the researcher decides the level of significance to be used. The gravity of the type I
error will be the basis for the level to be used.

A

Rejection Region

17
Q

is the range of values of the test statistic that signifies that there is a
significant difference and that the null hypothesis should be rejected.

A

critical or rejection region

18
Q

is the range of values of the test statistic that implies that
the difference was possibly coincidental and that the null hypothesis should be accepted.

A

non-critical or acceptance region