Statistics Test 3 Flashcards
What management question is asked in one-sample tests of hypothesis?
.
The plural of hypothesis is:
hypotheses
What is inferential statistics?
To draw a sample and make inferences about the population
Define p-value:
probability of a Type 1 error
From the statistics point of view, what is the job of senior managers?
to change parameters
If alpfa = .01 for H1: Mu<$4.50, the Z value for rejection zone is:
-2.33
To test the fairness of a coin, we flip it four times expecting to get two heads & two tails. When we get the improbable outcome of four heads, we conclude that the coin is unfair. If the coin is unfair, it would be a:
D) correct decsion
To test the fairness of a coin, we flip it four times expecting to get two heads & two tails. When we get the improbable outcome of four heads, we conclude that the coin is unfair. If we made an error, it would be a:
A) Type 1 error
If a person accused of a crime is telling the truth about her whereabouts at the time of the crime, but the police don’t believe her, they made a:
A) Type 1 error
Type 1 error is also called a:
E) alpha
If alpha = 0.05 for a non-directional test, how large is the area in the upper tail?
C) 0.025
What is the Z value in the LEFT tail for a non directional test at a one percent alpha?
-2.57
In tests of hypothesis, how do we use test outcomes to make decisions about whether to accept or reject null hypotheses?
.
How is the sample proportion defined?
B) x/n
The sign of H1 is based on:
C) the context
Why is the sign of the null hypothesis always equal (=)?
.
The null and alternative hypotheses are always written as:
D) parameters
Why do we control the Type 1 error?
Because its more serious and only 5% of probability that we reject true null hypothesis
About what do null hypotheses make claims?
E) All of these four answers (population parameters, sample statistics, sample means or proportions, the context)
When we tested the fairness of a peso with four and 12 flips, we did not use the normal curve table. Yet in all other tests, we routinely used it. Why did we switch to the normal curve table?
.
The singular of criteria is:
D) criterion
In all test of hypothesis, two transformations are made, one with a normal curve table and a second with a formula. Both are made into:
E) Z
Sampling and tests of hypotheses share which of these characteristics?
A) They are about parameters
One-sample tests of hypothesis may be considered a decision-making tool about whether management initiatives worked.
True
In tests of hypothesis about two proportions, of what is the polygon of all possible outcomes composed?
All possible “differences” p1-p2
Define Type II error.
Accept the null hypothesis when it is false
In forming the sign of H1, we occasionally use information contained in step 5 about test outcomes.
True
Name a synonym for alpha:
.
What is a hypothesis?
a statement about population parameters that is subject to verification.
Who established a major part of the classical theory of tests of hypotheses asserting, “The null hypothesis is exact”?
C) Fisher
In all tests of hypothesis, test outcomes result from either random variation or:
Management Initiatives
Sampling & tests of hypotheses share which of these characteristics?
F) All these answers are true(They are about parameters, They are concerned with parameters written in Greek capital letters, They are inferential methods, They ask questions about populations, They are useful for decision-making in business)
Instead of deriving an entire sampling distribution by hand a test of hypothesis, a short-cut to the derivation is to:
Use SPSS
