Question

please fill in and state conclusion

Calculate Chi-Square p value |
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Calculated Chi-square p value |
0.492330692 |
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Reject null if pvalue < alpha 0.05 |
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Is the p value significant? | ||||

Because p value is smaller or bigger than alpha level of 0.05? |

Answer #1

Since, the calculated chi-square p-value = 0.492330692 > 0.05
= alpha, **we DO NOT reject the null hypothesis.**

The p-value is **NOT significant.** (If the p-value
is smaller than the significance level we say that the p-value is
significant, else we say it is not significant.)

because **the p-value is bigger than alpha level of
0.05**

**For any queries, feel free to comment and
ask.**

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upvote it by clicking on the 'thumbs up' button.**

Which of the following statements most adequately summarizes the
conclusion statement resulting from a p-value of 0.03?
Group of answer choices:
We reject the null hypothesis at the alpha level of 0.09
We fail to reject the null hypothesis at the alpha level of
0.09
We reject the null hypothesis at the alpha level of 0.02
We fail to reject the null hypothesis at the alpha level of
0.05

PLEASE ANSWER ALL QUESTIONS !
1.
When performing a Chi-Square test, what is the critical value
between the accept and reject regions for a test with 5 classes and
25 observations at the 5% level of significance?
Select one:
a. 11.070
b. 2.87
c. 2.60
d. 9.488
2. True or False: A hypothesis is a statement about a population
developed for the purpose of testing.
Select one:
True
False
3. If you ACCEPT the null hypothesis while performing a
Chi-Square...

For df=1, the critical values for Pearson's chi-square
are 3.84 (p=0.05) and 6.63 (p=0.01). If you
calculated chi-square for a set of categorical variables and
received a value of 4.52, what would this indicate?
a. The result is significant at both p=0.05 and p=0.01
b. The result is significant at p=0.05 but not at p=0.01
c. The result is significant at p=0.01 but not at p=0.05
d.The result is not significant at either p=0.05 or p=0.01
a.
The result is...

A)What is the critical value for a chi-square test with 12
degrees of freedom at the 5 percent level of significance?
B) If the chi-square test statistic were 18.549, what is your
conclusion regarding the null hypothesis?
C) What is your conclusion regarding the null hypothesis if the
chi-square value were 22.10?

state the conclusion that should be reached in a Chi-Squared Test
for Independence when the p-value = 0.012.

Assume that a Chi-square test was conducted to test the goodness
of fit to a 9:3:3:1 ratio and a Chi-square value of 7.6 was
obtained. Should the hypothesis be accepted or rejected? Why? (df =
n – 1
A) should be accepted, p value is greater than 0.05
B) should be accepted, p value is smaller than 0.05
C) should be rejected, p value is greater than 0.05
D) should be rejected, p value is smaller than 0.05

If your p-value is 0.065 and your alpha level is 0.1 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.065 and your alpha level is 0.05 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.065 and your alpha level is 0.01 then you
would:
reject the Ho
fail...

If your p-value is 0.0061 and your alpha level is 0.1 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.0061 and your alpha level is 0.05 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.0061 and your alpha level is 0.01 then you
would:
reject the Ho
fail...

If your p-value is 0.043 and your alpha level is 0.1 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.043 and your alpha level is 0.05 then you
would:
reject the Ho
fail to reject the Ho
unable to determine from this information
accept the Ho
If your p-value is 0.043 and your alpha level is 0.01 then you
would:
reject the Ho
fail...

The P-value for a chi-square test is always one-tailed. This is
true because of all of the following reasons, EXCEPT:
Group of answer choices
Observed data that is either higher or lower than the null
hypothesis predicts will result in a positive chi-square value.
Only a large positive value of chi-square provides
stronger evidence to conclude HA.
A chi-square distribution is skewed.
The chi-square statistic is always positive, unlike a z
or t statistic which can be ether positive or...

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