Question

what is the difference between P-value and Traditional/Critical
value methods in hypothesis testing?

Answer #1

**Answer:**

**Given that:**

**What is the difference between P-value and
Traditional/Critical value methods in hypothesis
testing?**

The critical value method sets a finite value so that you know when to reject the null hypothesis based on a fixed level.The advantages of this method is that one can define the rejection region in terms of sample mean and thus make the conclusions

The P-value is the probability of the test statistics being at least as extreme as the one observed given that the null hypothesis is true.A small P-value is an indication that the null hypothesis is false

The two methods are relted in the conclusion at the same level.For both methods are conclusion will be the same

Explain what a p-value means relative to hypothesis
testing.
b. Explain why a |z critical value|
and corresponding p-value are inversely related. (Vertical bars
denote absolute value.)
c. Explain the difference between a
one-tail and a two-tail test relative to hypothesis testing.

Using the traditional hypothesis testing approach, calculate the
critical value for testing the null hypothesis that the population
mean is greater than or equal to 8, given a sample
size of 32, a population standard deviation
3.63, and a significance level of
0.05.
K =
Round to two decimals.

What is the rejection rule using the p-value approach to
Hypothesis Testing?
What is the rejection rule using the critical value approach to
Hypothesis Testing?

What is the main difference between one population and two
populations hypothesis testing?

Find using traditional method or P-value method. Identify the null
and alternative hypothesis, test statistic, critical value(s) or
P=value (or range of P-values) as appropriate, and state the final
conclusion that addresses the original claim.
A company claims that the mean weight of the oatmeal in its
packets is 14oz. The weights in ounces of the oats in a random
sample of 8 of the oat packets are listed below
14.6 13.8 14.1 13.7 14.0 14.4 13.6 14.2
Test the...

A researcher is testing a hypothesis of a single mean. The
critical z value for = .05 and a one-tailed test is 1.645.
The observed z value from sample data is 1.13. The
decision made by the researcher based on this information is to
______ the null hypothesis.

If a difference is significant (i.e., null hypothesis is
rejected) at critical value of 0.05, it will be definitely
significant at (select one):
a. critical value of 0.10
b. critical value of 0.01

1- When conducting hypothesis testing, the P value (also known
as a Prob value) for the test allows one to make a decision whether
to reject the null hypothesis or not. Explain what the P value
represents and how it is used to decide whether to reject the null
hypothesis or not.

Conduct the hypothesis test and provide the test statistic,
critical value and P-value, and state the conclusion.
A person purchased a slot machine and tested it by playing it
1,294 times. There are10 different categories of outcomes,
including no win, win jackpot, win with three bells, and so on.
When testing the claim that the observed outcomes agree with the
expected frequencies, the author obtained a test statistic of chi
squaredχ2equals=16.781
Use a 0.10 significance level to test the claim...

1. In a testing experiment:
a. What is the difference between a hypothesis and a
prediction?
b. How do you decide if the outcome of the experiment is/is not
consistent with the prediction?
c. How do you make a judgment about the hypothesis? How do the
assumptions you made in your method enter into making this
judgment?
2. In an observational experiment:
a. What is an independent variable?
b. What is the dependent variable?
c. Give an example from your...

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