Question

Which of the following statements is true if when using null hypothesis testing, our p value (in the “sig” column of SPSS output) is 0.063?

Fail to reject the null hypothesis |
||

Reject the null hypothesis |
||

Cannot determine with the information provided |

What graph type is most appropriate for a Chi Square Test of Independence?

line chart |
||

box plot |
||

bar graph (# cases or count with no error bars) |
||

clustered bar graph (# cases or count with no error bars) |

Which of the following statements is true if when using null hypothesis testing, our p value (in the “sig” column of SPSS output) is 0.048?

Reject the null hypothesis |
||

Fail to reject the null hypothesis |
||

Cannot determine with the information provided |

You can lower the likelihood of making a Type I error by:

raising the alpha level to 0.10 |
||

lowering the alpha level to 0.01 |
||

having two statisticians interpret the SPSS output |
||

none of these options would help |

Answer #1

**Solution:-**

**1) (a) Fail to reject the null hypothesis.**

**Interpret results**. Since the P-value (0.063) is
greater than the significance level (0.05), we cannot reject the
null hypothesis.

**2) (d) clustered bar graph (# cases or count with no
error bars)**

**3) (a) Reject the null hypothesis.**

**Interpret results**. Since the P-value (0.048) is
less than the significance level (0.05), we have to reject the null
hypothesis.

**4) (b) lowering the alpha level to 0.01.**

The probability of making a type I error is represented by our alpha level (α), which is the p-value below which you reject the null hypothesis. If we decrease the alpha level, in result the likelihood of making a Type I error will also decrease.

T F 1. A p-value of .008 in hypothesis testing means there is
only a .8% chance we could get such sample statistics from the
population if the null hypothesis is as stated. Such an event is
considered unlikely and we would reject the null hypothesis.
T F 2. As a general rule in hypothesis testing, it is always
safer to set up your alternate hypothesis with a greater-than or
less-than orientation.
_____3. If the level of significance is .02...

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

7. Which of the following is true? a. Hypothesis testing does
not tell us much about the magnitude of the treatment effect b. A
p-value tells us about the magnitude of the treatment effect c. A
large Sig. value in an SPSS output indicates a large effect d.
Rejecting the null means that the experiment is very important 8.
Please explain why the options you did not select are
incorrect:_______________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________________

Which one of the following statements is
FALSE?
a.
The p-value gives an indication of how close our estimate is to the
hypothesized value of the parameter.
b.
Assume the level of significance for a test and the effect size of
interest are both fixed. Then, increasing the sample size will
decrease P[Type2 error].
c.
When the null hypothesis is TRUE, P[Type 1 error] = the level of
significance of the test (alpha)
d.
The p-value is a conditional probability....

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...

Conduct a test of the null hypothesis that the mean height for
all students in the Census at School database is equal to 155 cm vs
the alternative that the mean Height is greater than 155 cm. Use a
significance level of 0.05.
a. State the null and alternative hypotheses.
Ho: m = 155
Ha: m > 155
b. Provide the Statcrunch output table.
Hypothesis test results:
Variable
Sample Mean
Std. Err.
DF
T-Stat
P-value
Height
159.86
1.7311103
49
2.8074468...

Please answer True or False for the following statements:
1.) The question "do more than 40% of bird owners own cats"
leads to a two-tailed test?
2.) The graph of the normal distribution is perfectly
symmetrical, or a mirror image about the mean.
3.) In hypothesis testing, the alternative or motivated
hypothesis is assumed to be true.
4.) Type 1 error is the error we make in failing to reject the
null hypothesis.
5.) For a normal curve, about 95%...

1. The alternative hypothesis is
a)what we assume to be true b)what we are trying to prove c)
what other research suggests d) always not equal to some value
2. What is the relationship between the confidence level
and the significance level?
a) there is no relationship b) the confidence level is the
significance level plus one c) the significance level is CL minus
one d) the CL is one minus the SL
3. In a QQ plot, if the...

PUBH 6033—Week 7 Assignment 1
Comparing two means: When drink drove a student to
statistics
(Rubric included)
Instructions
For this assignment, you review this week’s Learning Resources
and then perform a two-sample independent t test and an ANOVA
related to the dataset that was utilized in the week 2 SPSS
application assignment. Import the data into SPSS; or, if you
correctly saved the data file in Week 2, you may open and use that
saved file to complete this assignment....

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