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Explanation & Answer
Since x(t) is an even signal, it is convenient to select the integration interval from –T/2 to
T/2. Equation (5) evaluated for h = 0 yields
p
T
T
T
T
p
T
AT
Adt
dt
t
x
T
c
=
=
=
∫
∫
−
−
2
2
2
2
0
)
(
1
The term c
0
represents the average value (dc component) of the signal x(t). For h
≠
0 we
have,
,...
2
,
1
,
)
(
)
sin(
)
2
(
2
1
0
0
0
2
2
0
2
2
2
2
0
0
0
0
±
±
=
=
−
−
=
−
=
=
−
−
−
−
−
∫
k
Completion Status:
100%
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You randomly survey people in the mall about whether or not they regularly use text messaging. The results are shown in the tally sheets below based on the people’s ages.
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regularly use text messaging. The results are shown ...
You randomly survey people in the mall about whether or not they regularly use text messaging. The results are shown in the tally sheets below based on the people’s ages.
1. You randomly survey people in the mall about whether or not they
regularly use text messaging. The results are shown in the tally sheets
below based on the people’s ages.a. Make a two-way table that includes the marginal frequencies.b. Make a two-way table that shows both the joint and marginal relative frequencies. Round to the nearest hundredth, if necessary.c. What is the probability that someone who is between the ages of 20-29 also texts regularly?d. What is the probability that someone who is between the ages of 40-49 also texts regularly?e. Does the data show a relationship between age and texting? Explain.2. The data below represents the number of hits on your web site over 10 months.a. Make a scatter plot of ln y versus x. Use the scatter plot to find the equation for the line of best fit.b. Make a scatter plot of ln y versus ln x. Use the scatter plot to find the equation for the line of best fit.c. Based on your answers in part a and b, would an exponential model or a power model be better to represent this data? Explain.d. Use your answers from parts a and b to find an exponential model and a power model to represent this data by hand.e. Use the regression feature on your calculator to find an exponential model and a power model to represent this data.f. Use your answer from parts c and d to make the best estimate for the number of hits your web site will have in 12 months.
Walden University Computation by Hand Project
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Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52 ...
Walden University Computation by Hand Project
Assignment: Computation by Hand
Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193
Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193
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Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
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How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?
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Most Popular Content
15 pages
Lab 11 Fluvial Geomorphology
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Upon completion of this lab, you will be able to: Fluvial geomorphology studies the processes and landforms created from running water at the surface ...
You randomly survey people in the mall about whether or not they regularly use text messaging. The results are shown in the tally sheets below based on the people’s ages.
1. You randomly survey people in the mall about whether or not they
regularly use text messaging. The results are shown ...
You randomly survey people in the mall about whether or not they regularly use text messaging. The results are shown in the tally sheets below based on the people’s ages.
1. You randomly survey people in the mall about whether or not they
regularly use text messaging. The results are shown in the tally sheets
below based on the people’s ages.a. Make a two-way table that includes the marginal frequencies.b. Make a two-way table that shows both the joint and marginal relative frequencies. Round to the nearest hundredth, if necessary.c. What is the probability that someone who is between the ages of 20-29 also texts regularly?d. What is the probability that someone who is between the ages of 40-49 also texts regularly?e. Does the data show a relationship between age and texting? Explain.2. The data below represents the number of hits on your web site over 10 months.a. Make a scatter plot of ln y versus x. Use the scatter plot to find the equation for the line of best fit.b. Make a scatter plot of ln y versus ln x. Use the scatter plot to find the equation for the line of best fit.c. Based on your answers in part a and b, would an exponential model or a power model be better to represent this data? Explain.d. Use your answers from parts a and b to find an exponential model and a power model to represent this data by hand.e. Use the regression feature on your calculator to find an exponential model and a power model to represent this data.f. Use your answer from parts c and d to make the best estimate for the number of hits your web site will have in 12 months.
Walden University Computation by Hand Project
Assignment: Computation by Hand
Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52 ...
Walden University Computation by Hand Project
Assignment: Computation by Hand
Table 1:
Survival Status
Donor’s SexAliveDeadTotalFemale52456Male11027137Total16231193
Compute the simple odds ratio of the association of donor’s sex and survival status of the infant. Be sure to answer all four parts to this question (a, b, c, and d), including manual calculation of the chi-square value. (40 Points)
Manually calculate a simple odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, without the inclusion of the variable severity using a 2 x 2 table for sex and survival (10 Points).
Manually calculate the confidence interval associated with that odds ratio using the appropriate formula (10 Points).
Manually compute the Chi Square test statistic for this table (10 Points).
Interpret the results. Include an interpretation of the odds ratio, the confidence interval, and the Chi Square test statistic in your response (10 Points).
Table 2:
Survival Status
Disease SeverityDonor’s SexAliveDeadTotalNoneFemale14115 Male21223MildFemale17118 Male40242ModerateFemale15116 Male33639SevereFemale617 Male161733Total 16231193
Using data in table 2, compute the common odds ratio of the association between donor’s sex and the survival status of the infant, after controlling for severity (30 Points).
Manually calculate a common odds ratio to test the hypothesis of no association between donor’s sex and the survival status of the infant, after the inclusion of the variable severity using the common odds ratio (10 Points).
Interpret the results. How does the common odds ratio differ from the simple odds ratio computed in part 1? What effect might it have on your decision from part 1 to reject or fail to reject the null hypothesis? (10 Points).
Why is it important to know the effect of severity on the association of gender and survival? (10 Points)
Perform a simple logistic regression using SPSS and the Week 6 Dataset (SPSS document). Answer the following questions based on your SPSS output (30 Points)
Are the results of the simple logistic regression similar to or different from the results of the simple odds ratio (10 Points)?
How are they similar or different? Include output from SPSS and an interpretation of the OR and confidence intervals in your response (10 Points).
What can you do using logistic regression to duplicate the results from part 2 of this application (the use of CMH for common odds) (10 Points)?
5 pages
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