psandca5 Flashcards

1
Q

is an educated guess about the population parameter, an idea about the nature of social reality that is testable through systematic research

A

hypothesis

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2
Q

a statement that provides a tentative description or explanation for the relationship between variables

A

hypothesis

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3
Q

is a statistical method that uses sample data to evaluate a hypothesis about a population

A

hypothesis test

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4
Q

Example:

H0: Boys do not differ from girls in terms of math skills.

H1: Boys differ from girls in terms of math skills.

A

Two-Tailed (Non-directional) Hypothesis Tests

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5
Q

states that in the general population, there is no change, no difference, or no relationship between the independent variable and the dependent variable.

A

Null Hypothesis (H0)

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6
Q

states that there is a change, a difference, or a relationship between the independent variable and the dependent variable.

A

Alternative Hypothesis (H1)

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7
Q

H0:? ( Boys > Girls) H1:? (Boys < Girls)
H0: ? (Boys < Girls) H1: ? (Boys > Girls)

A

One-tailed test, left or right directional.

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8
Q

This type of hypothesis shows that H0 specifies either an increase or decrease in the population mean; and H1 specifies the opposite of H0 or there is a decrease or increase in the population mean.

A

One-tailed test, left or right directional.

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9
Q

Level of significance is the area of the rejection region designated by the Greek letter ____________

is a smaller probability that is used to identify the low probability samples

A

alpha (α)

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10
Q

the area of the acceptance region is designated by the Greek letter __________

A

Beta (ꞵ)

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11
Q

is the probability of getting a sample statistic (such as the mean) or a more extreme sample statistic in the direction of the alternative hypothesis when the null hypothesis is true

A

The P-value (or probability value)

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12
Q

is the actual area under the standard normal distribution curve representing the probability of a particular sample statistic or a more extreme sample statistic occurring if the null hypothesis is true.

A

P-value

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13
Q

is a parametric two-sample mean test to compare the means of two independent groups of samples drawn from a normal population if there are more than 30 scores (other objects) in the sample.

A

z-test

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14
Q

a statistical method that uses sample data to evaluate the validity of a hypothesis about a population parameter

A

Hypothesis testing

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15
Q

is a probability that is used to identify “very unlikely” outcomes

A

Alpha level/significance level

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16
Q

consist of the extreme sample outcomes that are “very unlikely”

A

critical regions

17
Q

are determined by the probability set by the alpha level

A

boundaries of critical regions

18
Q

If the sample statistic is located in the critical region (<.05) what will happen to the null hypothesis?

A

rejected

19
Q

if the sample statistic is not located in the critical region (>0.05) what will happen to the null hypothesis?

A

fails to reject null hypothesis

20
Q

What type of error?

The researcher fails to reject a null hypothesis that is really false

A

Type II

21
Q

What type of error?

Researchers have failed to detect a real treatment effect?

A

Type II

22
Q

What type of error?
Occurs when the sample mean is not in the critical region even though the treatment has an effect on the sample.

A

Type II

23
Q

What type of error?

Researcher rejects a null hypothesis that is actually true

A

Type I

24
Q

Concludes that a treatment has an effect when it has none

A

Type I

25
Q

Directional or Non-directional

the critical region involves both tails to determine if the treatment increases or decreases the target behavior

A

two-tailed non directional

26
Q

Directional or Non-directional

The researcher specifies either an increase or a decrease in the population mean as a consequence of the treatment

A

Directional or one talied