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PEREGRINE FOUNDATIONS OF QUANTITIVE ANALYSIS, AND BUSINESS STATISTICS EXAM WITH ACTUAL CORRECT QUESTIONS AND VERIFIED DETAILED ANSWERS |FREQUENTLY TESTED QUESTIONS AND SOLUTIONS |ALREADY GRADED A+|BRAND NEW!!|GUARANTEED PASS|LATEST UPDATE$22.49
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PEREGRINE FOUNDATIONS OF QUANTITIVE ANALYSIS, AND BUSINESS STATISTICS EXAM WITH ACTUAL CORRECT QUESTIONS AND VERIFIED DETAILED ANSWERS |FREQUENTLY TESTED QUESTIONS AND SOLUTIONS |ALREADY GRADED A+|BRAND NEW!!|GUARANTEED PASS|LATEST UPDATE
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PEREGRINE FOUNDATIONS OF QUANTITIVE ANALYSIS
Institution
PEREGRINE FOUNDATIONS OF QUANTITIVE ANALYSIS
PEREGRINE FOUNDATIONS OF QUANTITIVE
ANALYSIS, AND BUSINESS STATISTICS EXAM
WITH ACTUAL CORRECT
QUESTIONS AND VERIFIED DETAILED
ANSWERS |FREQUENTLY TESTED
QUESTIONS AND SOLUTIONS |ALREADY
GRADED A+|BRAND NEW!!|GUARANTEED
PASS|LATEST UPDATE
PEREGRINE FOUNDATIONS OF QUANTITIVE
ANALYSIS, AND BUSINESS STATISTICS EXAM
2024-2025 WITH ACTUAL CORRECT
QUESTIONS AND VERIFIED DETAILED
ANSWERS |FREQUENTLY TESTED
QUESTIONS AND SOLUTIONS |ALREADY
GRADED A+|BRAND NEW!!|GUARANTEED
PASS|LATEST UPDATE
The goal of the process is to determine whether there is enough evidence to infer that the alternative
hypothesis is_____.
true
There are two possible decisions:
1. Conclude that there is enough evidence to support the alternative hypothesis.
2. Conclude that there is not enough evidence to support the alternative hypothesis.
wo possible errors can be made in any test. A Type I error occurs when we reject a true null hypothesis
and a Type II error occurs when we don't reject a false null hypothesis. The probabilities of Type I and
Type II errors are:
P(Type I error) = α
P(Type II error) = β
There are two hypotheses. One is called the null hypothesis and the other the alternative or research
hypothesis. The usual notation is:
H0: — the 'null' hypothesis
H1: — the 'alternative' or 'research' hypothesis
The __________ (H0) will always state that the parameter equals the value specified in the alternative
hypothesis (H1).
1|Page
, null hypothesis
Once the null and alternative hypotheses are stated, the next step is to randomly sample the population
and calculate a________.
test statistic
A Type I error occurs when we reject a ________(Reject H0 when it is TRUE).
true null hypothesis
A Type II error occurs when we don't reject a _________ (Do NOT reject H0 when it is FALSE).
false null hypothesis
The Department Store's New Billing System example was a______, because the rejection region is
located in only one tail of the sampling distribution:
one tail test
The _______ in the Department Store's New Billing System example is the important one because the
alternative hypothesis specifies that the mean is greater than 170.
right tail
The _____________ of a test is the probability of observing a test statistic at least as extreme as the one
computed given that the null hypothesis is true.
p-value
When the standard deviation is unknown, the degrees of freedom for the test statistic is ___________.
n-1
The confidence interval estimator of p is p̂ ± zα/2√(p̂ (1 - p̂ )/n), which is valid provided that np̂ and n(1 -
p̂ ) are greater than ___.
3
4
5
6
5
___________________ allows statistics practitioners to compare the means of two or more populations
of interval data.
One-Way Analysis of Variance
The primary interest in designing a randomized block experiment is to reduce the within-treatments
variation to more easily detect differences among the treatment means.
2|Page
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