Web & Social Media Analytics Previous Year Question Paper.pdf
MTH 231 Something Great/newtonhelp.com
1. MTH 231 Entire Course
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MTH 231 Week 1 DQs
MTH 231 Week 1 Populations and Sampling Paper
MTH 231 Week 2 DQs
MTH 231 Week 2 Data—Organizing, Summarizing, Probability, and
Distribution Worksheet
MTH 231 Week 3 DQs
MTH 231 Week 3 Life Sciences Article Analysis
MTH 231 Week 4 DQs
MTH 231 Week 4 Confidence Intervals in the Life Sciences
Presentation
MTH 231 Week 4 Distribution, Hypothesis Testing, and Error
Worksheet
MTH 231 Week 5 Final Exam
MTH 231 Week 5 Hypothesis Testing and Correlation Worksheet
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2. MTH 231 Final Exam Guide Set 2
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We have another set of final exam guide which could be found on this
link
Use the following table for questions 1 and 2.
Butterflies
Red
Blue
Orange
Yellow
Collected in spring
3
2
3. 1
24
Collected in summer
14
7
8
24
Collected in autumn
12
72
9
43
1. If you randomly select one butterfly from the table above, what
is the probability of selecting a red butterfly or one collected in
spring?
2. If you randomly select one butterfly collected in spring, one
butterfly collected in summer, and one butterfly collected in autumn,
what is the probability of selecting all yellow butterflies?
3. Determine the appropriate approach to conduct a hypothesis test
for this claim: Fewer than 5% of patients experience negative
treatment effects. Sample data: Of 500 randomly selected patients,
2.2% experience negative treatment effects.
A) Use the normal distribution.
B) Use the Student t distribution.
4. C) Use the chi-square distribution.
D) Use nonparametric or bootstrapping methods.
4. Determine the appropriate approach to conduct a hypothesis test
for this claim: The systolic blood pressure of men who run at least
five miles each week varies less than does the systolic blood pressure
of all men. Sample data: n = 100 randomly selected men who run at
least five miles each week, sample mean = 108.4, and s = 20.3
A) Use the normal distribution.
B) Use the Student t distribution.
C) Use the chi-square distribution.
D) Use nonparametric or bootstrapping methods.
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MTH 231 Week 1 DQ 1 and DQ 2
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Week 1 DQ 1
Select the commodity of your best interest by ticking the box. You
should get the data table thru clicking "retrieve" button at the end part
of the list. ( You may use a commodity which is not explained in the
class)
5. Select the data among the month from 10 to 11 years as depicted
below. Paste it to your clipboard using your mouse. Use only the
numbers, not the month.
Apply statdisk and paste it on statdisk. You are then required to select
which column to be used. You have to choose column 1.
Week 1 DQ 2
There are two broad areas of statistics: inferential and descriptive. In
inferential statistics, we use analytical methods to derive meaning
from our data. In descriptive statistics, we study effective ways to
describe the data. Charts and graphs are very important in descriptive
statistics. Compare the graphs in Figures 2-6, 2-7, and 2-10 in the
text. What does each graph communicate? How effective is each
graph in communicating this information? How would you choose the
kind of graph to use for a specific project? Give an example
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MTH 231 Week 1 Individual Assignment Populations and
Sampling Paper
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Resources: Ch. 1 of the text, the Internet, and the University Library
Consider how life sciences researchers collect information from
samples to learn about populations.
6. Write a 700- to 1,050-word paper about sampling from populations.
Include the following information:
Define population and describe the characteristics of a population.
Define sample and describe the characteristics of a sample.
Compare samples and populations and explain how the concepts are
related. Provide examples to illustrate your arguments.
Explain how to increase the chance that a sample is representative of
a chosen population. Provide an example.
Describe random sampling and its benefits for research.
Cite at least two references.
Format your paper consistent with APA guidelines.
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MTH 231 Week 2 DQ 1 and DQ 2
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Week 2 DQ 1
Suppose a birdwatcher averages spotting 0.3 rare finches every day
during the two hours allotted for watching. This means that the
7. birdwatcher spots, on average, three rare finches every 10 days. The
average is based on considerable experience. Over a given 10-day
period, the birdwatcher sees zero rare finches in five days, and on the
sixth day, the birdwatcher declares, “I’m due to see a rare finch
today.”
Assume that the environmental conditions are reasonably constant
with no seasonal migratory issues involved. There is reasonably
consistent weather and there are no confounding (lurking, unseen)
variables involved. There is, however, a flaw in the birdwatcher’s
statement. What is the error and why is it wrong?
Would you choose the binomial pdf (probability distribution function)
or would you choose the Poisson pdf to better analyze the
birdwatcher's scenario (Triola, Sec. 4.3 & 4.4, 2006)? State the
necessary criteria for each distribution and support your decision.
Triola, M. M., Triola, M. D., &Triola, M. F. (2006). Biostatistics for
the biological and health sciences. Retrieved from The University of
Phoenix eBook Collection database.
Week 2 DQ 2
Read the article What are Relative Risk, Number Needed to Treat and
Odds Ratio? from the Electronic Reserve Readings on the Materials
web page for Week 2. Summarize the measures of relative risk,
number needed to treat, and odds ratios. In your opinion, which of
these measures is most informative? Why are they frequently used
together? Explain.
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MTH 231 Week 2 Individual Assignment Data-Organizing,
Summarizing, Probability, and Distribution Worksheet
8. For more course tutorials visit
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Resources: Ch. 2–4 and Appendix B of the text and Statdisk
Complete the University of Phoenix Material: Data—Organizing,
Summarizing, Probability, and Distribution Worksheet located in
Week Two of the student website (Materials web page).
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MTH 231 Week 3 DQ 1 and DQ 2
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Week 3 DQ 1
What are the characteristics of a normal probability distribution
function (pdf).
What is the standard normal pdf? How is it related to the normal pdf
and why is it useful?
9. Explain the Empirical Rule? Is it used for rough estimates or precise
calculations?
Briefly tell how to use Table A-2 in the Appendix of our text to
calculate z-values (Triola, 2006). How is area under the standard
normal curve related to probability? Is the table arranged so that
probability is cumulative from the left or from the right?
Briefly tell how Statdisk may be used to give even more accurate
table values (Statdisk>> Analysis >> Probability Distributions >>
Normal Distribution).
Week 3 DQ 2
Precisely, in simple language, what is a confidence interval?
What is the difference between a statistic that is a point estimator and
one that is an interval estimator? When might you prefer an interval
estimator over a point estimator?
What is a confidence level with respect to a confidence interval?
What is a critical value and why is it important?
What happens to the margin of error for a confidence interval when
the sample size is increased? How is the margin of error related to the
width of the confidence interval? State this relationship in
mathematical terms.
What happens to the width of the confidence interval if the confidence
level is increased from 95% to 99%? That is, does the width increase
or decrease? Why?
What happens to the width of the confidence interval if n, the size of
the sample, is increased? Why?
10. For additional participation credit, also comment within the thread of
the message posted in the Main Forum: Example: Using Statdisk to
Find a Confidence Interval
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MTH 231 Week 3 Team Assignment Life Sciences Article
Analysis
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Resources: Ch. 3 and 4 of the text, the Week Two Electronic
Reserve Readings “Fetal Deaths and Proximity to Hazardous Waste
Sites in Washington State” and “Intensive Lipid Lowering With
Atorvastatin in Patients With Coronary Artery Disease, Diabetes, and
Chronic Kidney Disease,” the Internet, and the University Library
Discuss the methodology of life sciences researchers in the two
articles. Explore the data collection and analysis techniques used by
the authors of these articles in preparation for the Life Sciences
Article Analysis.
Write a 1,050- to 1,750-word paper about dependence and
probability. Di
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11. MTH 231 Week 4 DQ 1 and DQ 2
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Week 4 DQ 1
State the criteria for choosing a t-test and a z-test. Then give an
example of a problem in which you would use z-test to evaluate the
data. Next, take the same example and modify it so that a t-test would
be preferable. Explain why.
Week 4 DQ 2
In general terms:
· What is a null hypothesis?
· What is an alternative hypothesis?
Under American criminal jurisprudence, the accused is presumed
innocent until proven guilty beyond the “shadow of a doubt.”
· What is the null hypothesis?
· What is the alternative hypothesis?
· Explain how the Type I and Type II errors apply to the court system.
12. · In court, what is the equivalent of the test statistic upon which the
decision is based?
· In statistical terms, how would you define “shadow of a doubt?”
· In statistics, why should the decision always be stated in terms of the
null hypothesis? (That is: reject the null hypothesis or fail to reject the
null hypothesis.)
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MTH 231 Week 4 Individual Assignment Distribution,
Hypothesis Testing, and Error Worksheet
For more course tutorials visit
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Resources: Ch. 5–7 of the text and Statdisk
Complete the University of Phoenix Material: Distribution,
Hypothesis Testing, and Error Worksheet, located in Week Four of
the student website.
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MTH 231 Week 4 Team Assignment Confidence Intervals in
the Life Sciences Presentation
13. For more course tutorials visit
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Resources: Ch. 5 and 6 of the text, the University Library, the
Internet, and Statdisk
Identify a normally distributed variable related to your chosen life
science that serves as your example variable. Review the data sets
presented in Appendix B of the text and in Statdisk, selecting one that
corresponds with your chosen life science. Choose a particular
variable you would like to explore and use Statdisk to determine if its
distribution is approximately normal.
Note. Data Set 5: Passive and Active Smoke in the text does not
include normally distributed data and may not be used in this project.
Prepare a 12- to 15-slide Microsoft® PowerPoint® presentation that
explains confidence intervals in your chosen life science. Imagine that
you are responsible for educating first-year college students who are
majoring in your chosen life science. Explain to the students how and
why confidence intervals relate to their field.
Discuss the following questions:
What is a normal distribution? Describe your example variable and
explain why normally distributed data is important in your chosen life
science. Show the distribution of your example variable in a Statdisk-
generated image and demonstrate how to calculate the probability of a
range of values within this normal distribution.
What is a standard normal distribution? How does it differ from other
normal distributions? Convert the normally distributed example
14. variable within your chosen life science to a standard normal
distribution. Show this example in a Statdisk-generated image and
demonstrate how to calculate the probability of a range of values
within this standard normal distribution.
What is a confidence interval? Outline how confidence intervals may
be used in your chosen life science. Demonstrate how to define
confidence intervals within the normal distribution example variable.
What is a confidence level? Show how a confidence level relates to
the confidence interval using the example variable.
What is a critical value? Show how critical values relate to the
confidence interval using the example variable.
What is a margin of error? Describe how a margin of error relates to
confidence intervals and to your chosen life science.
Provide an example related to your example variable.
What is a point estimate? Explain how a point estimate found from a
confidence interval would be applied in your chosen life science.
Provide an example related to your example variable.
What can a confidence interval tell researchers in your chosen life
science about an estimate of population mean? Provide an example
related to your example variable.
What can a confidence interval tell researchers in your chosen life
science about an estimate of population variance? Provide an example
related to your example variable.
Include a title slide and conclusion slide, and cite at least four
references on a references slide.
Present the information about confidence intervals and your chosen
life science to the instructor and the class just as you would to
firstyear college students who need this information.
15. For Local Campus students, these are oral presentations accompanied
by Microsoft® PowerPoint® presentations.
For Online and Directed Study students, these are Microsoft®
PowerPoint® presentations with notes.
Discuss with your classmates and answer questions
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MTH 231 Week 5 Final Exam Guide Set 1
For more course tutorials visit
www.newtonhelp.com
We have another set of MTH 231 Final, which could be found on this
link
MTH 231 Week 5 Final Exam
Use this worksheet for your answers. Your score, based on the points
shown for this exam in the rubric, will be corrected to the basis points
shown for the final exam in the syllabus. Submit to the Assignments
16. Section by 11:59 pm of the last day of class. Late work will not be
accepted.
1. The following are the scores obtained by 30 students in
epidemiology test:
83 67 94 77 55 82
79 72 88 65 81 63
92 61 85 71 79 70
89 52 66 63 75 84
99 81 73 79 68 77
a) Apply the Statdisk and look for the user-defined relative
frequency histogram having a class width of 10 from 50. The labels
must be “on”. Copy the histogram in this sheet.
b) Look for the Normality Assessment using the Statdisk.
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MTH 231 Week 5 Team Assignment Hypothesis Testing and
Correlation Worksheet
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17. Resources: Ch. 7 and 8 and sections 9-1 and 9-2 in Ch. 9 of the text
Complete the University of Phoenix Material: Hypothesis Testing and
Correlation Worksheet, located in Week Five of the student website.