Question

**Compare and contrast the “critical values approach” and
the “p-value approach” for determining the statistical significance
of an hypothesis test.**

Answer #1

The critical and p-value approach yield same results when testing any hypothesis. The p-value approach has an advantage over the critical value as it just needs the computation of one value i.e P value which is the probability of obtaining a test statistic as extreme as the one for the current sample under the assumption that the null hypothesis is true.

On the other hand, critical value approach needs computation of test statistic and critical value corresponding to the given confidence or significance level. This is the reason why most statistical softwares and calculators make use of p-value approach to deliver the results of hypothesis testing.

The critical value is the standard score such that the area in the tail on the opposite side of the critical value(or values) from zero equals the significance level.

what do significance levels and P values mean in hypothesis tests?
what is statistical significance anyway?

Compare and contrast clinical and statistical significance. Which
one is more meaningful when considering evidence to nursing
practice?

Test the hypothesis, using (a) the classical approach and
then (b) the P-value approach. Be sure to verify the requirements
of the test. H0: p=0.6 versus H1: p>0.6 n=200; x=140,
α=0.05
(a) Choose the correct result of the hypothesis test for the
classic approach below.
A.Do not reject the null hypothesis, because the test statistic
is greater than the critical value.
B.Do not reject the null hypothesis, because the test statistic
is less than the critical value.
C.Reject the null...

Compare and contrast a four Ps approach to marketing versus the
value approach (creating, communicating, and delivering
value).

In a test of statistical significance, what does the
p-value tell us?
A. if the null hypythesis is true
B. if the alternative hypothesis is true
C. the largest level of significance at which the null hypothesis
can be rejected
D. the smallest level of significance at which the null hypothesis
can be rejected.
Please explain exactly what the p-value is as I'm
having trouble understanding it. thanks

Find the critical value or values for the following values of
the significance level α, sample size n, and alternate hypothesis
H1. The critical value is α = 0.05, n = 7, H1: μ < μ0

Perform a t test using the critical value approach for
the significance of
β1. Use a level of
significance of 0.05.
Perform a t test using the critical value approach for
the significance of
β2. Use a level of
significance of 0.05.
The estimated regression equation for a model involving two
independent variables and 65 observations is:
yhat = 55.17+1.1X1 -0.153X2
Other statistics produced for analysis include: SSR = 12370.8,
SST = 35963.0, Sb1 = 0.33, Sb2 = 0.20.

Which of the following p-values is statistically
significant?
Statistical significance is determined via hypothesis
testing.
Null hypothesis = No difference
What is the “magic number” at which we reject the null
hypothesis?

A statistical test is performed and it results in a p-value =
0.007. Using a significance level of α = 0.001, what is your final
decision and conclusion?
A
Reject the null hypothesis. We do not have evidence in favor of
the alternative.
B
Reject the null hypothesis. We have evidence in favor of the
alternative.
C
Fail to reject the null hypothesis. We do not have evidence in
favor of the alternative.
D
Fail to reject the null hypothesis....

True or False
When using Levene's test for ANOVA, the p-value should not
indicate statistical significance (e.g. p<.05) because the null
hypothesis states that the variance of the dependent variable is
the same across comparison groups.

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