## Statistics homework help

This week’s readings discuss conditional probabilities, conditional odds, logits, odds ratios, relative risk, and slopes. These can all be confusing terms but the good news is that all these values have some relationship to each other. Researchers have their own opinions on which values makes the most sense to report.

#### Discussion

In a 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.) that, intuitively, makes the most sense for you to report as a result to your audience. Be sure to provide a specific rationale for your choice.

## Statistics homework help

As  part  of  a  specific  disease  prevention  program,  a  clinic  is  considering  setting  up  a
screening service in a town.  They are considering the following design:  After waiting in a
single line, each walk-in patient is served by one of three available nurses.  Each nurse has
their own booth, where the patient is first asked some medical health questions, then the
patient’s vitals are taken, and finally, a glucose test is performed to check for the disease.
In  this  design,  each  nurse  performs  the  tasks  in  sequence  for  the  patient.   If  the  glucose
test indicates a chance of the disease, the patient is sent to a separate clerk to schedule an
appointment for a follow-up at the clinic.  If the test is not positive, then the patient departs.
Patients’ are eager to get tested but they are reluctant to wait for to screening operations.
To clarify, if the number of people waiting for nurses is larger than 4, they prefer to go to
a park nearby the screening booths,  and spend 15 minutes therein.  After this 15 minute
period they again return to booths to check if the number of people is acceptable or not.
Noting that, there is no limit on the number of times for park visiting, i.e.  people are get
screened eventually.
Patients  arrive  to  the  system  according  to  an  exponential  distribution  with  a  mean
of  4  minutes.   Assume  that  there  is  a  5%  chance  that  the  glucose  test  will  be  positive.
For  the  given  design,  the  time  that  it  takes  to  have  the  paperwork  completed,  the  vitals
taken,  and  the  glucose  tested  are  all  lognormally  distributed  with  means  of  6.5,  6.0,  and
5.5 minutes, respectively.  They all have a standard deviation of approximately 0.5 minutes.
The  distribution  used  to  model  the  time  that  it  takes  to  schedule  a  follow-up  visit  is  a
WEIB(2.6, 7.3) distribution (in minutes).  Moreover, distance between park and screening
booths requires a travel time of uniformly distributed between 1 and 2 minutes.
In addition, nurses are working based on a schedule (valid for just nurses, not the clerk).
All breaks are given in a staggered manner that is, one nurse goes on break and immediately
upon  return  the  next  nurse  goes  on  break  until  all  nurses  have  had  their  breaks.   Nurses
are  kind  people,  hence  they  wait  until  the  patient  they  are  testing  is  done  and  returns
after  completing  their  scheduled  amount  of  time  for  the  breaks.   Assuming  the  screening
operations  start  at  8:00,  first  10  minute  breaks  should  be  given  starting  at  10:00.   Upon
completion  of  4  hours  of  work  (i.e.   at  12:00),  they  have  a  30  minute  lunch  break.   And
finally, at 15:00, they have one another small break session for 10 minutes.  The booths are
closed at 17:00.

Collect statistics for queue length, queue time and utilization of the resources for 30
replications.

State the average number of people screened as positive and negative.

What are the average cycle times for positive and negative patients
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## Analysis of Variance

A study compared three display panels used by air traffic controllers. Each display panel was tested for four different simulated emergency conditions. Twenty-four highly trained air traffic controllers were used in the study. Two controllers were randomly assigned to each display panel–emergency condition combination. The time (in seconds) required to stabilize the emergency condition was recorded. The resulting data and analysis results are given below.
Display panel data Emergency conditionDisplay panel1234A17253114 14243413B1522289 12193110C21293215 24283719
Two-way ANOVA resultsSource of VariationDFSSMSFPPanel2218.58109.2926.490.000Condition31247.4615.82100.800.000Interaction616.422.740.660.681Error1249.504.13  Total231531.96

• Set up null and alternative hypotheses to (a) test the significance of display panel effect, (b) test the significance of emergency condition effects, and (c) test the interaction a between the two factors.
• Justify the type of ANOVA (one-way or two-way) you will apply to test the hypotheses.
• Interpret the p values in the results table for an accept/reject decision regarding the hypotheses.
• State your conclusions including what the ANOVA results do not tell you and your needed actions as a researcher.

### Submission Details:

• Submit a Microsoft Word document that contains your responses to assignment questions, using APA style.
• Name your document SU_BUS7200_W3_ LastName_FirstInitial.doc
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## Statistics homework help

Assignment Requirements.
1-Describe the sample, the goals of the study, and the variables employed to conduct the study
2-Describe the analysis strategy – How will you analyze the data.
3-State the Null and Alternative Hypotheses
4-Conduct the multiple regression analysis in which grades is the DV (outcome), Math Levels, and Absences, as well as their centered interaction, are the IV (predictors).
5-Present and summarize the results for the Multiple Regression Analysis – including the effects for both IVs as well as the interaction.
6-Conduct, present, and summarize the results for the simple slopes analyses for each level of Math proficiency.  So, using the split file procedure in SPSS you must conduct 3 simple regression analysis in which the variable Grades is the DV (outcome) and Absences is the IV (predictor).
7-Create the appropriate table of results for the multiple regression analysis (you must refer to this table within the summary).
8-Create the appropriate table for the simple slopes analyses.
9-Create a simple slopes plot showing the regression of grades on absences for each Math level. You must refer to this figure within the summary.
10-Submit the summary as an MS-Word file; and please submit the SPSS output in a separate file.  That way I can see the analyses that you ran.
11-Please carefully read my sample summary (SAMPLE SUMMARY IS ATTACHED) and model your summary after it.  Also, you must read chapter 15 in the Warner text.
12-Please note that this analysis and summary must be your own original work, you may not share you work with any classmates.  I created the practice data and sample summary as an in-class problem, and I encourage you with work together on the practice problem. But not on the graded assignment
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