This practice will begin 1:00pm 9/10 PST, PLEASE MAKE SURE that you will be online at the time.The practice is consist of 15 multiple choice questions and some basic statistical questions, you will have 170 minutes to finish the question. PLEASE DONT TAKE THE BID if you are not familiar with statistics. .You will see the questions like these:
TEXTBOOK ATTACHED
Chapter 5: 5.66, 5.68, 5.69
Chapter 6: 6.52, 6.55
Chapter 7: 7.62, 7.63
Chapter 8: 8.38 (answer the following True or False questions) XD
Tag: Statistics
Using the attached article please answer the following questions
Read Week 1 article and answer:
What is the Mean Median and Mode for each variable (if given) (Note only give the full sample values from table).
Why isn’t a mean median and mode given for the nominal variable?
What is the range for each variable given? What does that mean to you in English?
What are the Standard Deviations for each dependent variable given (full sample only)? Draw a freehand number line (see ppt) and mark off the mean in the middle, add and subtract the SD and mark these values on the number line inserting 0, 1, 2, 3 and -1 -2 -3 underneath the SD numbers as I did on the last slide.
How many standard scores from the mean (Symptoms) would a woman who had 6 symptoms be? How many standard scores from the mean (Risk Reduction) would a woman who practiced 5 Risk Reduction behaviors be?
Practice Exercises (Complete all of these)
What is the median of these scores? 0, 5, 7, 9, 9
What is the mode of these scores? 11, 12, 12, 15, 18, 20
To two decimal places what is the standard deviation of these scores? 3, 5, 6, 7, 8
To two decimal places what is the standard deviation of these scores? 0, 2, 5, 9
According to the standard deviations, are the scores in question 8 or question 9 more variable?
If a person has a standard score of 1.5 how many standard deviation units is that person from the mean of the group?
Stat 101 Excel data
Amazon.com has become one of the most successful online merchants. Two measures of its success are sales and net income/loss figures. The data can be found in the file, Amazon.
Use Excel to complete the following:
Construct a scatter plot for Amazon’s net income/loss and sales figures for the period 1995–2015.
Determine a polynomial model, including its order (or degree), for Amazon’s net income/loss and sales figures.
Use Word to complete the following:
Explain your process of determining the polynomial model
Submit your work in a Word document and attach your Excel file.
Module 4 Homework 1 – Types of Statistical Studies
DirectionsStep 1: Submit your first draft
Commit a good-faith effort to address each item in the Prompt section below.
Please be sure to number your responses and include “white space” between problem numbers. This improves the readability and flow of your work for your peer reviewer (classmate) and grader (me). We cannot give feedback and grade jumbled work.
Type your responses into the text box. Please do not embed or attach screenshots of your written work. This is an accessibility issue. If you need to write math for this assignment, be sure to use the Canvas math editor (see the Canvas Tutorial below).
Step 2: Complete your assigned peer review
After you submit a good-faith attempt on your first draft, continue to the ANSWER(S) page and review my response. But please do not submit your final draft yet.
Within two days after the due date, return to this assignment and complete your assigned peer review. Here are instructions for submitting a peer review (opens in a new tab).
Here are the criteria for writing high-quality assignment comments.
Step 3: Optional Final Draft
You may use your peer’s instructive comments along with the ANSWER(S) page to resubmit your work any time before I begin grading the problems (typically within 72 hours after the peer reviews are due). However, to earn full credit, you are not required to submit a final draft for assignments with the word “Homework” in the title. But if you do submit a final draft, I will only grade it if you submitted a good-faith effort on your first draft.
Warning – I will only grade your most recent submission. So if you choose to submit a Homework assignment, please do not leave anything out and do not direct me to read an earlier submission. To maximize your score, your most recent submission (at the time I begin grading) must be complete
Progress CheckUse this activity to assess whether you and your peers can: Write a research question that includes the three necessary components of a well-stated research question.
PromptGive an example of a well-stated research question that involves estimating a characteristic of the population of part-time students at your college.
Improve the following research question so that it is a well-stated research question. Research Question: Do students work a lot of hours?
Module 4 Discussion BoardUse the Module 4 discussion board (opens in a new tab) to ask questions or provide feedback about the problems in any Module 4 activity – including this peer-reviewed assignment.Review FeedbackPeer feedback should be available before final drafts are due.
Instructor feedback is only available after an assignment is graded.
Use these directions (opens in a new tab) to learn how to review feedback.
Click the “Next” or > button to continue.Content by Cuyamaca College math faculty and licensed under the Creative Commons 4.0 International License (Links to an external site.). RubricPeer Review (FD Optional)Peer Review (FD Optional)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeFirst Attempt5 ptsFull MarksA first attempt was made on this assignment0 ptsNo Marks5 ptsThis criterion is linked to a Learning OutcomeAnswering the Prompt3 ptsFull CreditAll parts of the “Prompt” are addressed, and the responses demonstrate attainment of the learning objectives in the “Progress Check” section of the assignment. The answers are mostly correct. The writing/work is clear. The explanation/work is reasonable, well-organized, and easy to follow.1.5 ptsPartial CreditOne or more parts of the “Prompt” are not addressed or are incorrect. Or, answers do not demonstrate attainment of the learning objectives in the “Progress Check” section of the assignment. Or, answers are correct, but the writing/work is unclear, incorrect, or difficult to follow.0 ptsNo MarksThe “Prompt” is not addressed or the work is incorrect or missing. Or, the first draft was not a good-faith effort.3 ptsThis criterion is linked to a Learning OutcomePeer Review2 ptsFull CreditYou completed the assigned peer review. The points you assigned in the rubric for the “Addressing the Prompt” criterion are appropriate. You used the “Add a Comment:” field to submit your assignment comments. Your assignment comments relate the score you assigned in the “Addressing the Prompt” criterion of the rubric to how your peer addressed the learning objectives when responding to the “Prompt.” (Note: the learning objectives are listed in the “Progress Check” section of the assignment.) If you awarded full credit for the “Addressing the Prompt” criterion in the rubric, your comments contextually and specifically explain what your peer did to demonstrate attainment of the relevant learning objectives. If you deducted points for the “Addressing the Prompt” criterion, you clearly explained what your peer can do better to demonstrate attainment of the relevant learning objectives.1 ptsPartial CreditYou committed a good-faith effort to provide a high-quality peer review, but necessary instructive comments are missing. Or, you provided appropriate instructive comments but did not complete the rubric.0 ptsNo MarksNo peer review provided or the comments are not instructive. Or, you did not commit a good-faith effort on your first draft.2 ptsTotal Points: 10
Discussion: The Central Limit Theorem
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.
In this discussion, you will apply the central limit theorem and use principles of the Normal distribution to calculate probabilities. You will demonstrate two key parts of the central limit theorem:
The distribution of sample means is approximately Normally distributed (bell-shaped) as the sample size increases and we repeatedly draw these samples, regardless of the shape of the population distribution from which the samples are drawn.
The average of all sample means is equal to the population mean. In practice, the average of all sample means will closely approximate the population mean.
You will generate a population data set representing total precipitation (TPCP) in tenths of a millimeter using Python’s numpy module. The distribution of this data set will be skewed. This data set will be unique to each student, and therefore the answers will be unique as well. Run Step 1 in the Python script to generate your unique population data.
In your initial post, address the following items:
In the Python script, you created a histogram for the dataset generated in Step 1. Check to make sure that this data distribution is skewed and included in your attachment. See Step 2 in the Python script.
What is the mean of the TPCP population data? See Step 3 in the Python script.
In the Python script, you selected a random sample with replacement, of size 50 (note that this is a sufficiently large sample), from the TPCP population. What is the mean of your random sample? Does this sample mean closely approximate the TPCP population mean? See Step 4 in the Python script.
You also selected 1,000 random samples of size 50 and calculated the mean of each sample. Then you stored those means into a dataframe. Check to make sure the output of this step is in your attachment. See Step 5 in the Python script.
Review the plotted data distribution for these 1,000 means. Does this approximate a Normal distribution? Does this confirm the first part of the central limit theorem? Why or why not? See Step 6 in the Python script.
What is the “grand” mean and standard deviation of these 1,000 means? Does the grand mean closely approximate (on a relative basis) the mean of the original distribution? Does this confirm the second part of the central limit theorem? Why or why not? See Step 7 in the Python script.
Recall that your distribution of 1,000 means is Normally distributed even though the population distribution was skewed and the grand mean closely approximates the population mean. In your follow-up posts to other students, review your peers’ results and provide some analysis and interpretation.
Is their population distribution skewed? Is their distribution of 1,000 sample means approximately Normally distributed? Does this confirm the first part of the central limit theorem? Why or why not?
Does their grand mean closely approximate their population mean? Does this confirm the second part of the central limit theorem? Why or why not?
Based on this discussion activity, what have you learned about the central limit theorem?
Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.
Memorandum – Interpret financial and market information to guide strategic decision making and improve patient outcomes
Effectively gather financial and market information to guide strategic decision making and improve patient outcomes.
Interpret financial and market information to guide strategic decision making and improve patient outcomes.
Assignment Information:
Read Case #13 (pages 89-90) from Gapenski’s Cases in Healthcare Finance – “Pacific Healthcare (A)”. Review the case, utilize the case model provided by the publisher, and respond to the following questions:
eBook UMGC Library Permalink: http://ezproxy.umgc.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true
100 word discussion and respond to two posts
For this activity,
You have been given the final results of this study. What are your conclusions? Describe your conclusions and how you derived them.
RQ: To what extent does our new composite material improve load-bearing capacity of aircraft wings?
Ha: Aircraft wings constructed with the new composite material will have greater load bearing capacity than aircraft wings that are not constructed with the new material.
H0: There is no difference between composite aircraft wing load bearing capacity and other aircraft wings.
Population 1 characteristics: Sample Size=50, Mean=61, SD=4
Populations 2 characteristics: unavailable for reference
Hypothesis testing probability results: p=.034
Discussion: Descriptive Statistics
Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.
For this discussion, you will collect data from a public source and calculate descriptive statistics, including measures of central tendency and variability. You will then interpret the results and provide feedback to your peers.
In your initial post, use the World Temperatures website (or a similar website of your choice) to find the daily maximum temperature data rounded to the nearest integer (whole number) in your city or zip code for the past fourteen days. You will use this data set to calculate measures of central tendency and variability. You will also provide a detailed analysis based on your results.
In your initial post, address the following items:
Share your data set. See Step 1 in the Python script.
What were your descriptive statistics for this data set? Report the mean, median, variance, and standard deviation. Based on these statistics, what can you say about the distribution of daily maximum temperature in your city or zip code? Use all of the statistics that you calculated to explain the distribution in detail. See Step 2 in the Python script.
Which graph showed the general trend of daily maximum temperature in your city or zip code? See Step 3 in the Python script.
In general, how are the measures of central tendency and variability used to analyze a data distribution?
The Python script also provides you with temperature data for a city called Zion. Which graph showed the difference in the distribution of your data and Zion’s data? What can you say about the differences in data distributions? See Step 4 in the Python script.
Your graphs will not show up in your html document when attached to your discussion board post. Please embed them in your posts by right clicking on the graph while in your Python script, select “save image as”, save it and then attach to your discussion board post using the camera icon in the menu bar.
Answer these 5 questions related to statistics
1.Suppose a researcher conducts an analysis of the relationship between cardiovascular disease and type II diabetes. The basic summary of the findings are presented in the following table.
Pati ent
BMI
(kg/m2)
Hypertensi on (Y/N)
Diabet es Type
II
(Y/N)
Smoking status (Never, Quit, Social, Current)
Educat ion Status (<High
, High,
>High)
Alcoh ol (>2 drinks a day? Y/N)
Religious Background (Catholic, Jewish, Muslim,
Other)
Ethnicity (AA, W, A, H,
Other)
A
27
N
N
Current
<High
Y
Catholic
AA
B
34
Y
Y
Never
>High
Y
Other
A
C
21
N
N
Quit
High
Y
Other
W
D
28
Y
N
Social
>High
N
Muslim
W
E
36
Y
Y
Current
<High
Y
Jewish
W
Describe the following in reference to their status as a variable, observation, or value: column 3, row 5, column 3/row 2, column 9.
Are any of the variables included in the study ordinal? If so, identify the ordinal variables
2.
Suppose a researcher conducts an experiment to assess the measuring
capabilities of a new device aimed at detecting the boiling point of a
chemical. The chemical has a known
boiling point of 120 degrees Fahrenheit. His measurement device is tested 10
times, and results in the following measurements for boiling point. What can we
say about the device with regards to its precision, accuracy, and potential bias?
Measurement
Boiling Point (degrees
Fahrenheit)
1
129
2
137
3
136
4
141
5
139
6
142
7
136
8
127
9
143
10
123
3.
A surveyor wants to sample a city for the local Public Health Office in
order to assess asthma rates annually. In order to get the best estimate for
the project, the surveyor first decides to sample 2 of 15 census tracts, and
then to sample 5 households from each tract.
Assume there are only 10 households in each tract. The surveyor randomly
assigns each tract in the city a number 01-15, and each household in each tract
a number 01-10. Use
the following random number table
to select each tract, and then each household, continuing along the line.
058791 211403 098746 170528
086401 370614 097810 036418 340514
A) What kind of sampling
strategy is this?
B) Which census tracts and
households will be selected
4. Investigators are interested in the relationship between sleep apnea
and Alzheimer’s disease. In order
to more thoroughly understand the relationship, these investigators decide to recruit 50 participants with
Alzheimer’s and 50 participants without Alzheimer’s, and look at their history
of sleep apnea.
A) What type of study design is this?
B) What are the explanatory and
response variables?
5.
The following measurements
represent the systolic and diastolic blood pressures (mm HG) for a group of
individuals awaiting confirmation for enrollment in a study investigating the
efficacy of a new anti-hypertensive medication.
SYSBP
DIASBP
118
73
132
81
147
87
145
91
129
73
126
81
132
83
156
97
164
102
162
101
167
103
121
78
A) Create a stem-and-leaf plot
for both systolic and diastolic blood pressure.
B) Suppose that Hypertension is
categorized by a Systolic blood pressure above 159 mm HG or a diastolic blood pressure above 99 mm HG.
What is the relative frequency of the potential participants with hypertension?
Statistics Discussion Peer Responses
I need responses to the following students for the discussion post:
Discussion Question: Please calculate the mean, median, mode and standard deviation of student satisfaction scores for Monday versus Saturday. Student satisfaction scores are represented across 20 survey items. In your post, detail the statistics you found, key themes (which items were rated favorably and which items were rated unfavorably?), as well as any suggestions you would make to the client based on these statistics.
Please be sure that you are posting in a client-ready format, using professional and appropriate language for talking to an organization. When responding to your peers react to their statistics and subsequent suggestion points for Teton Grand.
Peer 1:
Through statistical analysis of the Monday versus Saturday Environmental Immersion classes at Teton Grand, we are better able to understand and interpret overall student satisfaction scores. Specifically, by looking at the mean, median, and mode, we can learn more about how the training classes are performing in terms of student satisfaction. Mean, median, and mode are each different ways to describe distributions; they provide us with numerical information about the distribution of a given data set (Teton Grand, in this case). Mean, median, and mode are all measures of centre or central tendency that help us identify key themes.
Mean refers to the arithmetic average, which equals the summation of all data values, divided by the total number of data values. The mean is also referred to as “X bar” or x̄. Mode refers to the data value that is most frequently observed in a data set. And, median refers to the data value that is positioned in the middle of a given data set. In order to determine the median, the data must first be ordered (usually smallest to largest). It can be helpful to use the formula: (n 1)/2, where n reflects the overall number of data samples. The result here provides us with the position of the median. In cases when n is an even number, we will need to average the two values on either side of the median position.
On Monday, the mean student satisfaction score was 3.39, the median was 4, and the mode was 4. On Saturday, the mean student satisfaction score was 3.63, the median was again 4, and the mode was also 4. These numbers tell us that:
Average student satisfaction (mean) differed by 0.24 between Saturday and Monday;
Most students “strongly agreed” that they were satisfied on both Monday and Saturday. On both days, the “centre” of the dataset was “4” – meaning that 50% provided a ranking >4, and 50% provided a ranking <4.
And, on both Monday and Saturday, the most frequent ranking was “4” (mode).
Looking at the statistics, we can see the following key themes (on a 5 point scale, with 1 being “strongly disagree” and 5 being “strongly agree”):
Most students did NOT receive regular feedback from their teachers, and most disagreed with the statement that they received regular feedback (mean=2.27, median=2, mode=2);
Most students did NOT have a good understanding of the mission statement, and most disagreed that they understood the statement well (mean=2.52, median=2);
The majority of students felt that they had committed instructors and most agreed that their instructors were committed (mean=3.88, median=4, mode=4);
Students strongly agreed with the fact that their training rooms more than any other survey option (mean=3.9, medial=4, mode=4).
Based on these statistics, I would suggest the following:
Ensure teachers commit to the provision of regular feedback to their students. This feedback should be meaningful, student-specific, as well as provide constructive options for improvement;
Integrate the school’s mission more fully with curriculum and courses. Provide tangible ways for students to relate course work and personal experience to the mission statement;
Continue to encourage teachers in their commitment to students. Provide tangible rewards or acknowledgement for teachers who continue to demonstrate this commitment, and help less-involved teachers (or “hands-off” instructors) become more committed to their curriculum and students, and;
Find out what makes the training rooms so successful, and attempt to model future rooms according to this model. Renovate older, less functional spaces to become more relevant and efficient.
Peer 2I have an odd combination of education and experience, so the things that stuck out to me about this data are directly related to that but seem to be unrelated to each other.
Understanding the mission and philosophy of the organization cumulatively had a below average mean and median on both days, however it seems that participants believed they were collectively upholding the mission as evidenced by above average scores on the question, “The people I was in class with cooperated to uphold Teton Grand’s mission.” Coming from a non-profit background, I know how imperative a mission statement is, and can understand how easily it can be forgotten by the public or participants even as they participate within your own programming. These are small things that can be reinforced by marketing (specifically in the way courses are marketed), by way of introductions during the start of a class, by materials presented within class, by any follow-up surveys, etc., and by general marketing and branding efforts. This seems like a fairly easy fix, but will require some strategic conversations about how the mission and philosophy are communicated.
The other things that stood out were directly related to the courses themselves, and as an educator and instructional designer, they were a bit concerning.
Books for the class, for instance, rated below average on both days, which would indicate it could be time to reevaluate the curriculum in the case of a shift away from original intentions or at the very least launch investigations into more relevant materials from which the classes can work. This needs to be a direct communication between the organization and the instructors so an agreement can be reached on how best to provide appropriate materials. It may even be a good idea to have past participants gathered for a focus group to help investigate these resources.
Participants having confidence that their instructors cared about their success and participants receiving feedback from instructors also rated below average on both days. The first thing that comes to my mind is that instructors may need support on how to continuously get and give feedback during class in the form of a professional development session or at the very least by enacting a instructor observation and rating system. There’s a big difference between training and facilitating, and often, less experienced or less engaged trainers end up not consistently being able to close the feedback loop. By implementing an observation and rating program amongst instructors, they can better be exposed to other teaching and presentation styles and understand how they can personally improve.
Overall, I don’t see anything catastrophically challenging to this organization’s survival, but in the interest of consistent improvement, there are always steps to be taken.