Category: Statistics

Please provide an answer that is 100% original and do not copy the answer to this question from any other website since I am already well aware of this. I will be sure to check this.
Please be sure that the answer comes up with way less than 18% on Studypool’s internal plagiarism checker since anything above this is not acceptable according to Studypool’s standards. I will not accept answers that are above this standard.
No AI or Chatbot! I will be sure to check this.
HAND CODING VERSUS QUALITATIVE DATA ANALYSIS SOFTWARE
It is not uncommon for qualitative researchers to spend the first phase of analysis hand-coding, text coding, or spreadsheet coding before turning to qualitative data analysis (QDA) software. Modern software packages offer efficient ways to organize and code data electronically, and to visualize the patterns in codes and categories. Of course, no software package takes the place of immersion in the data and the intensive effortful work needed to illuminate the essence of the phenomenon as your participants describe it.
In this week’s Assignment, you will research QDA software and compare what you have experienced using Excel or Word to what the software offers.
BY DAY 3
Search the Internet to find examples of QDA software. These can include free versions as well as proprietary purchased applications. Note that some applications indicate they are a good fit for certain qualitative approaches. You may find examples in the websites listed in the Learning Resources section above.
Choose two examples of QDA software to investigate. Go to their respective websites and explore the FAQs, demos, customer feedback, and other resources that inform you about their capabilities and limitations.
BY DAY 5
Develop a 3 to 5 full page paper describing considerations for choosing to use QDA software. Include your responses to the following:
Hands-on: Summarize your experience with coding using Excel or Word. Identify what worked well, where you struggled, and how the process of coding evolved.
Research: Summarize your research on your two choices by comparing and contrasting features. Describe why you chose these two versus the others and, given your experience in this course, what you are considering for your capstone.
Requirements: 3-5 Full Pages Times New Roman Size 12 Font Double-Spaced APA Format Excluding the Title and Reference Pages | .doc file
Please provide an answer that is 100% original and do not copy the answer to this question from any other website since I am already well aware of this. I will be sure to check this.
Please be sure that the answer comes up with way less than 18% on Studypool’s internal plagiarism checker since anything above this is not acceptable according to Studypool’s standards. I will not accept answers that are above this standard.
No AI or Chatbot! I will be sure to check this.
Please be sure to include an introduction paragraph with a clear thesis statement in the last sentence of the introduction paragraph and a conclusion paragraph.
Please be sure to carefully follow the instructions.
No plagiarism & No Course Hero & No Chegg. The assignment will be checked for originality via the Turnitin plagiarism tool.
Please be sure to include at least one in-text citation in each body paragraph.
Please be sure to use credible or scholarly sources published within the last 5 years.

this assignment is for a biological statistic course. the instructions for the assignment will be in the file labeled ASSIGNMENT INSTRUCTIONS. i want you to specifically do the multivariate anova with 2 factors. I will also include a format example in a file named ASSIGNMENT EXAMPLE. I will include some class notes in a file labeled CLASS CONCEPTS 1/2. the data file for streams which is the only data that should be used for this paper will be included. if possible add a page of exact data that is used…..(I need this to enter into a program for a later assignment)

Submission Instructions
Read each question carefully!
Please clearly show all of your work to receive credit.
To submit your work, either:
Scan and upload a pdf version of your quiz, OR
Typeset your answers in a word document, using a mathematics editor, and submit a pdf version, OR
Typeset your work in our current online platform, CANVAS. Then copy/paste/screenshot your work into a doc, and submit it as a pdf, OR
Use a phone app to scan your solutions to your phone and convert them to a pdf. I have used the tiny scanner app for Android in the past and it worked well for me, but please check if this app meets your privacy/security standards,
I will be unable to grade your work if it is too messy or hard to follow. Improper syntax and not using whiteout/eraser in an effort to write legible solutions will result in point deduction.
Please write your name on the document that you upload.
Assignment Quality Instructions
Independent of the format you upload your solutions (scanned, typed, etc. ), please:
do not write answers next to the Quiz/Exam questions (this includes fill in the blanks and True/False questions). Answers submitted in this format will be skipped.
do not attempt to squeeze full solutions to the right of a question with multiple parts or write answers between sentences.
do not use multiple arrows to point to different parts of a page or different pages. This is okay if you want to point to objects in a computer output, label an item in a picture, etc.
do not combine answers to exercises(For example: write your answer/solution for (c) and an answer/solution for (d), but not provide a combined answer for both (c) & (d))
do not change the sequence/order of the exercises (For example: your solutions should have answer to question 1, then answer to question 2, then answer to question 3, etc. not answer to question 3, followed by answer to question 7, followed by answer to question 4, etc. ). If you don’t have an answer to a question at the moment, come back to it later, leave space, or insert a new page in your work at a later time.
Start your work on a new blank page; however, 
you are allowed to change the quiz/exam into a word document and include answers after each question (This is okay!). But ensure you use a different font, more spacing, and/or highlight your work/answer. You could use bold font for the questions, for example.
you are allowed to copy/paste the questions in its exact format but be consistent in writing your answers below them. The idea here is that your work is easy to follow by you (the writer) and me (the reader). This will be helpful to you when you want to review/study for the Final or refresh at a later date.
Clearly label where each exercise or sub-exercise begins. This is already a requirement, but some students often forget to do this. It is the student’s responsibility to ensure the answer being provided is for the question being asked. 
Ensure your screenshots are not too large or too small (Canvas has a limitation in the amount I can zoom in/out, in some cases making it infeasible to grade a solution). 
I understand the challenges of uploading work in digital form, which is why I have provided everyone with multiple options. If you have any questions about the above requirements, feel free to reach out to me to discuss further or provide clarification. 🙂
Please be sure to view all three tabs before leaving this page.
Learning Outcomes/Goals
By the end of this assignment, you will be able to:
identify the type of sampling being used in a sampling process.
determine the difference between different types of data and which to use which type of real-world phenomena.
construct graphical summaries for quantitative data.
determine a measure of center of a data set by calculating the mean, median, and mode.
calculate percentiles.
identify outliers, if any.
calculate the five number summary and use it construct boxplots.
plot scatterplots.
compute the correlation coefficient.
Exam 1
Question 1. A college faculty consists of 400 men and 250 women. The college administration wants to draw a sample of 65 faculty members to ask their opinion about a new parking fee. They draw a simple random sample of 40 men and another simple random sample of 25 women. Identify the type of sample that was described: [1 pt] 
Question 2. The amount of charge left in the battery of a cell phone is a type of (choose one) [1pt]                                             Discrete data            Continuous Data
Question 3. The correlation coefficient is not resistant/sensitive statistic. [1 pt]
True    False
Question 4. Every data set contains at least one mode [1 pt].
True    False
Question 5. A National Center for Health Statistics study states that the mean height for adult men in the U.S. is 69.4 inches with a std. deviation of 3.1 inches, and the mean weight is 194.7 pounds with a standard deviation of 68.3 pounds. Which has greater spread relative to its mean: height or weight? Back up your answer with calculations. [3 pts]
Question 6. The following table presents interest rates, in percent, for 30-year and 15-year fixed rate mortgages, for January through December, 2012. [4 pts]
30-Year 15-Year 30-Year 15-Year
Question 6 data
3.92 3.20 3.55 2.85
3.89 3.16 3.60 2.86
3.95 3.20 3.47 2.78
3.91 3.14 3.38 2.69
3.80 3.03 3.35 2.66
3.68 2.95 3.35 2.66
(a) Construct a scatterplot of the 15-year rate (y) versus the 30-year rate (x)
(b) Compute the correlation coefficient between 30-year and 15-year rates. If you use your calculator to obtain a “fast” result, write down the calculator steps you used to obtain your answer.
(c) When the 30-year rate is below average, would you expect the 15-year rate to be above or below average? Explain.
(d) Which of the following is the best interpretation of the correlation coefficient?
When a bank increases the 30-year rate, that causes the 15-year rate to rise as well.
Interest rates are determined by economic conditions. When economic conditions cause 30-year rates to increase, these same conditions cause 15-year rates to increase as well.
When a bank increases the 15-year rate, that causes the 30-year rate to rise as well.
Question 7. As of July, 2013, 28 states in the U.S. had one or more tribal gambling casinos. The following data presents the number of tribal casinos in each of those states [4 pts]
3, 2, 26, 70, 2, 2, 8, 7, 3, 4, 3, 22, 39, 3, 14, 7, 3, 21, 8, 2, 11, 114, 8, 14, 1, 34, 31, 4
(a) Find the first and third quartiles of these data.
(b) Find the Median of these data.
(c) Find the upper and lower outlier boundaries.
(d) Which values, if any, are outliers?
(e) Construct a boxplot for these data.
(f) Describe the shape of this distribution.
(g) What is the 40th percentile?
(h) What is the 83rd percentile?
(i) North Dakota has 11 tribal casinos. What percentile is this?
(j) What is the mode?
Question 8. The following table presents the number of global shipments of smartphones for several vendors in 2012. [3 pts]
Question 8 data
Vendor Samsung  Nokia Apple Others
Shipments(millions) 213.0 35.0 135.8 316.3
(a) Construct a relative frequency bar graph.
(b) What proportion of global shipments in 2012 were for Samsung phones?
Question 9. In a large sample of customer accounts, a utility company determined that the average number of days between when a bill was sent out and when the payment was made is 32 with a std. deviation of 7 days. Assume the data to be approximately bell-shaped.
(a) Between what two values will approximately 68% of the numbers of days be?
(b) Estimate the percentage of customer accounts for which the number of days is between 18 and 46? [2 pts]
Extra Credit [1 pt] An e-store that sells cell phone accessories reports that 98% of its customers are satisfied with the speed of delivery. Is there any bias involved? If so, what type of bias is involved. Explain.

Instructions are attached. Please use a two tailed sample t test for the design of this study. Please use 10 people of less in this study.Please write this to where a 10 YEAR OLD CAN UNDERSTAND IT. I dont need it to look like a professor wrote it. Please and thank you. Examples are attached for steps up to design your study.

The use of UCINET/NETDRAW (or any equivalent network analysis software) is
instrumental to complete these exercises. Please follow each instructions given by my professor.

1st document: You assignment is to replicate all SPSS output found in the file Chapter 7 Regression example (not the screen shots of SPSS instructions – just the output). To receive credit you must turn in one Word file (Word files have the suffix .doc or docx). Cut and paste the output to the word file. Submit the word file to the link found under assignments. Your numbers may not match the numbers in the file exactly – that is okay!
2nd document: In the text, there is a section in Chapter 7 labeled Interpretation of Results. Toward the end of that section there is an explanation of how to apply the raw score prediction formula to the output coefficients. In the example I provided, the coefficients are found under “unstandardized coefficients” look under the upper case B. You can see my coefficients applied to the raw score prediction formula in the textbook.
The picture attached in the file is for this document.
Raw Score Prediction Formula with Coefficients Added (below).
Y-hat = .201(x) + .237(x) + .082(x) + ((-.073(x)) + 2.444
Above is background for what you are assigned. Read carefully below to know what you are actually turning in.
Attached is a data set labeled “secondmidtermdata.” You are to carry out a linear regression with variables B,C, and D as predictors of A. Take the resulting coefficients and apply them to the raw score prediction formula. Always use the last model to get your coefficients – in the example above we used model 3. On a single word file, cut and paste all SPSS output from this exercise. On the same file write out your application of the raw score prediction formula. You really have to read the text carefully to know what is going on here! Make sure to use forward selection for your analysis.
3rd document: Please keep your overlap at 10% or lower. No direct quotes allowed. Write a 500-word summary of Chapter 7. The textbook is attached.
4th document: Attached is a document labeled Logistic Regression output. You are to replicate the SPSS output found in that file. Cut and paste the output to a single word document. Please read the chapter carefully prior to doing this assignment.
5th document: Please keep your overlap at 10% or lower. No direct quotes. Write a 500-word summary of Chapter 11. Textbook attached.
Everything in a separate document. Thank you.

Please conducts 10 page research paper regarding the finding that is uploaded below. Insert graphs from files when needed. I will be uploading about 3 more files this weekend to include

Below i posted all the screenshots of the instructions and questions that need to be answered, also dont worry about the part under the requirnments section where it says reply to a class mates post i will do that my self. Thank You!!
Also I Put two pages as the requirnment but it does not have to be two pages there is no specific requirnment under the instructions of how many pages there needs to be in the disscussion post so i just put two just in case

So for the signature assignment, you will need to make up some data, and then create graphs based on the instructions and answer the questions

1st document: You assignment is to replicate all SPSS output found in the file Chapter 7 Regression example (not the screen shots of SPSS instructions – just the output). To receive credit you must turn in one Word file (Word files have the suffix .doc or docx). Cut and paste the output to the word file. Submit the word file to the link found under assignments. Your numbers may not match the numbers in the file exactly – that is okay!
2nd document: In the text, there is a section in Chapter 7 labeled Interpretation of Results. Toward the end of that section there is an explanation of how to apply the raw score prediction formula to the output coefficients. In the example I provided, the coefficients are found under “unstandardized coefficients” look under the upper case B. You can see my coefficients applied to the raw score prediction formula in the textbook.
The picture attached in the file is for this document.
Raw Score Prediction Formula with Coefficients Added (below).
Y-hat = .201(x) + .237(x) + .082(x) + ((-.073(x)) + 2.444
Above is background for what you are assigned. Read carefully below to know what you are actually turning in.
Attached is a data set labeled “secondmidtermdata.” You are to carry out a linear regression with variables B,C, and D as predictors of A. Take the resulting coefficients and apply them to the raw score prediction formula. Always use the last model to get your coefficients – in the example above we used model 3. On a single word file, cut and paste all SPSS output from this exercise. On the same file write out your application of the raw score prediction formula. You really have to read the text carefully to know what is going on here! Make sure to use forward selection for your analysis.
3rd document: Please keep your overlap at 10% or lower. No direct quotes allowed. Write a 500-word summary of Chapter 7. The textbook is attached.
4th document: Attached is a document labeled Logistic Regression output. You are to replicate the SPSS output found in that file. Cut and paste the output to a single word document. Please read the chapter carefully prior to doing this assignment.
5th document: Please keep your overlap at 10% or lower. No direct quotes. Write a 500-word summary of Chapter 11. Textbook attached.