You can reject a null hypothesis, but why can we never accept or
prove it?
You can reject a null hypothesis, but why can we never accept or
prove it?
Solutions
Expert Solution
Answer:-
An null hypothesis is never
acknowledged or demonstrated in light of the fact that it isn't
rejected.
Information not adequate to
demonstrate convincingly that a distinction between methods isn't
zero don't demonstrate that the thing that matters is zero.
Such information may even propose
that the invalid speculation is false however not be sufficiently
able to put forth a persuading defense that the invalid theory is
false.
For
instance:-
In the event that the likelihood
esteem were 0.15, at that point one would not be prepared to show
one's case that the invalid speculation is false to the
(legitimately) wary academic network.
Additional persuading information
would be expected. Be that as it may, there would be no premise to
reason that the invalid theory is valid.
It might possibly be valid, there
simply isn't sufficient proof to dismiss it.
Not even in situations where there
is no proof that the invalid speculation is false is it substantial
to close the invalid theory is valid.
On the off chance that the invalid
theory is that µ1 - µ2 is zero, at that point the speculation is
that the thing that matters is actually zero.
No trial can recognize the instance
of no contrast among methods and a very little distinction between
methods.
On the off chance that information
are steady with the invalid speculation, they are likewise reliable
with other comparative theories.
Along these lines, if the
information don't give a premise to dismissing the invalid theory
that µ1-µ2 = 0 then they very likely won't give a premise to
dismissing the speculation that µ1-µ2 = 0.001.
The information are reliable with
the two theories.
At the point when the invalid
theory isn't dismissed then it is authentic to presume that the
information are predictable with the invalid speculation.
It isn't authentic to reason that
the information bolster the acknowledgment of the invalid theory
since the information are steady with different theories also.
In certain regards, dismissing the
invalid speculation is practically identical to a jury finding a
litigant blameworthy. In the two cases, the proof is persuading
past a sensible uncertainty.
Neglecting to dismiss the invalid
theory is tantamount to a finding of not liable. The respondent
isn't proclaimed blameless.
There is sufficiently not proof to
persuade past a sensible uncertainty.
In the legal framework, a choice
must be made and the respondent is without set.
In science, no choice must be made
right away. More investigations are led.
Remember: if p < .05, then you reject the null hypothesis and
accept the alternative hypothesis. If p > .05, then you accept
the null hypothesis and reject the alternative hypothesis. In a
two-tailed hypothesis test, the null hypothesis means there is no
significant difference between the groups, then in the alternative
hypothesis you state there is a significant difference between the
groups. 1. Watch the below video on the Chi-Square Method.
Video: Chi-Square Test A. Identify what the null...
1) Explain why we never say
“accept” the null hypothesis (but we rather say “fail to reject”
the null hypothesis).
2) State the requirements that must be
satisfied to test a hypothesis regarding a population mean with
either the population standard deviation know or unknown.
3) Explain two graphs/figures/plots
that you can use to assess whether the sample data is normally
distributed? Make sure to explain how to assess normality using
these graphs; that is, what to look for in...
In hypothesis testing, we can reject
a. the null hypothesis.
b. the alternative hypothesis.
c. both the null and the alternative hypotheses.
d. neither the null and the alternative hypotheses.
The decision in any hypothesis is to reject the null hypothesis
OR to fail to reject the null hypothesis.
Under what conditions do you reject the null hypothesis in any
hypothesis test?
Find an example of a hypothesis test of the mean in your
homework this week and use it to explain how a conclusion is
written if the null hypothesis is rejected?
Find an example of a hypothesis test of the mean in your
homework this week and use...
The objective of hypothesis testing is to reject the null
hypothesis. How do we use the P-value to accomplish this goal?
Describe the difference between One-way versus Two-way ANOVA
and provide an example of each.
Why is accepting the null hypothesis misleading?
Why do you think people commonly accept the null hypothesis?
How would you explain the meaning of P-value to someone who has
not studied statistics?
When are two samples independent? Dependent?
How do the techniques of each of the following compare: a)
testing a claim about two population proportions from two
independent simple random samples (SRS), b) testing a claim about
two population means from two independent SRS's, c)testing a claim
about two...
Complete the sentence. If, as a result of a hypothesis test,
you reject the null hypothesis when it is false, then you have
committed _______.
A: An acceptance errror
B: a type II error
C: no error
D: a Type I error