Question

Which testing method—one-sample or two-sample parameter tests—is the better test to use to formulate an answer to a hypothesis

Answer #1

Unit 4
Discussion
Answer the following 2
questions in your main post:
What experience do you have with hypothesis testing? This can
be as simple as you were given an amount of money and had to
explain different ways to best utilize the money to make ends meet,
to as complicated as a professional issue that needed to be
solved.
Which testing method—one-sample or two-sample parameter
tests—is the better test to use to formulate an answer to a
hypothesis? Explain.

The two-sample t-test is one of the most commonly used
hypothesis tests in Six Sigma work. It is applied to compare
whether the average difference between two groups is really
significant or if it is due instead to random chance. Select an
application of the two-sample t-test and describe how it was
justified to use the t-test for this particular application.
Describe what the P-value of the 2-sample t-test of your example in
part (1) means. Note that you are...

Hypothesis testing is the basis of inferential statistics.
Statisticians are always coming up with new tests and testing new
characteristics of population parameters. One of the simplest tests
that currently exist is the one-sample test for means.
A random sample is drawn. If the population variance is known,
then we use the Z test; if the population variance is unknown, we
use the T test. In addition, there are some additional assumptions
that can be made. For example, if a...

Test the claim using the traditional method of hypothesis
testing. Assume that the sample haas been randomly selected from a
population with a normal distribution. Use a significance level of
alpha = 0.01 to thest the claim that mu > 2.85. The sample data
consists of 9 scores for which x-bar = 3.16 and s = 0.6. Separate
each answer with a comma.
What is the test statistic, write the number only?
What is the critical value, write the number...

Is a one sample or two sample z test be used for testing Lumber
prices being affected by GDP?

When evaluating the results of the use of one of our one
hypothesis tests we can use either the critical value method or the
p-value method. While both methods will reach the same conclusion
as to whether to reject or not reject our null hypothesis, most
researchers prefer the p-value test. Why is this preferred over the
critical value tests?

Which of the following is true about the one sample z-test and
one sample t-test:
for a t-test, the population mean and standard deviation are
needed.
The z and t-tests are identical in terms of the amount of
information needed.
for a t-test only the sample mean is needed.
for a z-test the population mean and standard deviation are
needed.
The z and t-tests are identical except for the size of the
sample used.

Use the traditional method of hypothesis testing to test the
given claim about the means of two populations. Assume that two
dependent samples have been randomly selected from normally
distributed populations.
The table below shows the weights of seven subjects before and
after following a particular diet for two months.
Subject A B C D E F G
Before: 182 178 199 194 151 188 170
After: 175 169 197 199 137 190 158
Using a 0.01 level of significance,...

What important parameter must be known in order to run a z-test
but is not known when t-tests are used? Write a short paragraph
explaining a scenario when it would be appropriate to use a
one-sample t-test. Give another scenario when it would be
appropriate to use a paired sample t-test.

Which of the following statements about hypothesis
testing is true?
If the data provide sufficient evidence for the alternative
hypothesis, then the conclusion is to reject H0.
A hypothesis test provides a plausible range of values for a
parameter.
If the data provide sufficient evidence for the null hypothesis,
then the conclusion is to reject H1.
A hypothesis test uses sample data to determine which of two
competing hypotheses is true.
For a two-sided hypothesis test in which the test...

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