STT 231: Exam 1 Questions and Answers | 2025
Update | 100% Correct-Galen College of Nursing.
larger sample sizes provide stronger evidence against the null hypothesis bc
they reduce variability
sample standard deviation symbol
S
success- failures condition: success proportion (π), failure proportion is 1-π
Both need to meet the expectation of at least 10
success: n*π
failures: n(1-π)
the smaller the P-value,
The stronger the evidence against the null hypothesis
the t-distribution more likely resembles the standard normal distribution when the degrees
of freedom (df) is
larger
the t-distribution, always centered at 0, only has one parameter, df, to calculate df for a
hypothesis test for a single mean is....
n-1
assuming the condition for CLT apply, when implementing a hypothesis test for a single
proportion, what is the null distribution for our test statistic?
, N(0,1)
estimated effect size for population proportion is
Cohen's h
when implementing the hypothesis test, our null distribution is
t(df)
Parameter symbols
μ(mean of population), σ(standard deviation of population) , and p (proportion of a population,
respectively)
statistic symbols
x-bar(mean of sample), s(standard deviation of sample), p-hat (proportion of sample,
respectively)
The t-distribution more likely resembles the standard normal distribution when the
degrees of freedom, 𝑑𝑓, is
larger
Do 75% of chicken eggs in this farm contain less than 230 milligrams of cholesterol?
hypothesis test for a proportion,π
Does the average amount of cholesterol contained in a chicken egg from this farm differ
from 186 milligrams?
hypothesis test for a mean, μ
Update | 100% Correct-Galen College of Nursing.
larger sample sizes provide stronger evidence against the null hypothesis bc
they reduce variability
sample standard deviation symbol
S
success- failures condition: success proportion (π), failure proportion is 1-π
Both need to meet the expectation of at least 10
success: n*π
failures: n(1-π)
the smaller the P-value,
The stronger the evidence against the null hypothesis
the t-distribution more likely resembles the standard normal distribution when the degrees
of freedom (df) is
larger
the t-distribution, always centered at 0, only has one parameter, df, to calculate df for a
hypothesis test for a single mean is....
n-1
assuming the condition for CLT apply, when implementing a hypothesis test for a single
proportion, what is the null distribution for our test statistic?
, N(0,1)
estimated effect size for population proportion is
Cohen's h
when implementing the hypothesis test, our null distribution is
t(df)
Parameter symbols
μ(mean of population), σ(standard deviation of population) , and p (proportion of a population,
respectively)
statistic symbols
x-bar(mean of sample), s(standard deviation of sample), p-hat (proportion of sample,
respectively)
The t-distribution more likely resembles the standard normal distribution when the
degrees of freedom, 𝑑𝑓, is
larger
Do 75% of chicken eggs in this farm contain less than 230 milligrams of cholesterol?
hypothesis test for a proportion,π
Does the average amount of cholesterol contained in a chicken egg from this farm differ
from 186 milligrams?
hypothesis test for a mean, μ
