Description
Unformatted Attachment Preview
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
I use Studypool every time I need help studying, and it never disappoints.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Unit 14- Written Assignment 11: Factor Analysis
InstructionsLoad the data file unit 14_SPSSHW11_data.sav. A psychologist was interested in whether a mindfulness questionn ...
Unit 14- Written Assignment 11: Factor Analysis
InstructionsLoad the data file unit 14_SPSSHW11_data.sav. A psychologist was interested in whether a mindfulness questionnaire measures a single underlying construct, or whether there is more than one underlying construct. The questionnaire contained 15 items each requiring a response in the range 1 to 6. The responses of 95 participants to the 15 items are coded in the variables s1q1 to s1q15. In order to answer the question above, carry out a principal component analysis with direct oblimin rotation and do the following:1. Describe the factor structure of the questionnaire.a. How many components have eigenvalue greater than one? (2 points)b. How much variance is accounted for? (2 points)c. Consider the scree plot: how many components does that suggest? (2 points)d. Write a brief results section, including a suitable table, to report which items load on each component. (2 points)e. Label the resulting factors based on the items you identified as loading onto them. (2 points)2. Alter the analysis to force a single-factor solution and report the results. Which questions should you throw out? Which questions is loaded the strongest? (5 points)3. Save and submit the SPSS syntax and output files used to complete items 1-2. The file names should begin with your first and last name followed by the homework number (e.g., John Doe HW11.sps; John Doe HW11.spv). (5 points [you read that correctly]
Answer question regarding the binomial case study and grading rubric?
I attached two files one is the question and the other one is example maybe it helps you " It is so similar to the questio ...
Answer question regarding the binomial case study and grading rubric?
I attached two files one is the question and the other one is example maybe it helps you " It is so similar to the question that I want to answer it"
6 pages
20200627151039quiz4
Quiz 4 has 10 problems with each problem being worth 10 points. The total score of Quiz 4 is 100 points and it counts for ...
20200627151039quiz4
Quiz 4 has 10 problems with each problem being worth 10 points. The total score of Quiz 4 is 100 points and it counts for 10 % of the final grade of ...
University of Alaska Anchorage Random Sampling Error Worksheet
The goal of this assignment is to help you understand the logic underlying the estimation of RSE (Random Sampling Error) b ...
University of Alaska Anchorage Random Sampling Error Worksheet
The goal of this assignment is to help you understand the logic underlying the estimation of RSE (Random Sampling Error) based on simulated computation (estimation) using height data. See Excel Sheet 1 on Excel contains 1620 people’s height data These 1620 people’s height are 54 sets of 30 samples – this means that sample size(n) is 30 and you have 54 of them. Therefore, in this assignment we make following assumptions: Height data of 1620 people (54 sets of samples containing 30 people’s height) are population (I know this actually is a set of sample, but we pretend that this is a population: N = 1620) 30 people’s height within each set of sample is a set of sample: therefore sample size is 30 (n n=30) and there are 54 sets of samples. Based on these assumptions, please compute: Population mean (mean of the 1620 people’s height) Sample mean (mean of the 30 people) – please choose a specific sample from 54 samples, and compute the sample mean based on 30 samples in that particular set.Population standard deviation based on 1620 people as population Sample standard deviation (population standard deviation estimated based on your own sample of 30 – so you need to compute the SD on 30 people’s height in your own sample that you chose) Create a sampling distribution of the mean based on these 54 sets of samples and compare the shape (characteristics) of the sampling distribution with population distribution of height that I provided (sheet 2 grouped frequency polygon) by following these steps: Then step 1 compute the mean of 30 people’s height for each of all the 54 sets of samples – so you need 54 sample means for 54 sets of sample step 2 create a group frequency distribution table based on the computed means (54) – this is a grouped frequency table for sampling distribution of the 54 means Compare the shape of frequency distributions between Population of Height (one I provided) and Sampling distribution of the means (54 sets of Means you created). For your reference I am providing the grouped frequency polygon representing the population distribution (the third sheet of the excel) and answer the following questions: What is the relation between population mean and the mean of the 54 means? – same or differentWhich of the two distributions (population distribution of 1620 height data vs sampling distribution of the 54 means) has a narrower distribution clustered around the population mean? to what extent, the observation of the above two (a and b) aspects of the sampling distribution lend support to the Central Limit Theorem? – this requires you read CLM and understand it. RSE as difference between your own sample mean and the mean of the sampling distribution of mean (average of the 54 sets of sample mean)RSE as Standard Error of the Mean which is the Standard Deviation computed based on sampling distribution of the mean – this means computing a SD based on 54 sample means. For this use the sampling distribution of the mean that you created in the above (you need to use population St Dev computation function in Excel – see below). RSE as Standard Error of the Mean approximated by population standard deviation (based on 1620 data) divided by the square root of n (n=30) RSE as Standard Error of the Mean approximated by sample standard deviation (based on your own sample of n=30) (use of n-1 in denominator – sample standard deviation in Excel – see below) divided by the square root of n (n=30)(This is a bonus point of 5 on top of 30) I assume that 6-3 and 6-4 are different even though they are supposed to be similar according to the lecture. Speculate on the reason why they are different.Based on what you have learned on the four different approaches of estimating RSE, they should be the same. But they are different in this one. Why? Hint: the nature of the sample (30 people’s height)? You can include any questions or comments based on this process. Your points is not entirely based on whether your answer is correct; it is mainly based on evidence of THINKING you put here. 6 ) Estimate the Random Sampling Error in the following four different ways based on your understanding of the definition of RSE we just covered in the class: In computing Means and SD, use excel’s computational functions: For mean (average) see: https://www.youtube.com/watch?v=5_OHS-18RbU\ For standard deviation see: https://www.youtube.com/watch?v=uZWQXQG37Zs There are STD. P (population where the denominator is n) and STD.S (sample where the denominator is n-1). Be careful to use appropriate one. You should, by now, know which one to use when. If you have question on this, please send me an email. In sum your assignment needs to address all these questions Population mean Sample mean Population standard deviation Sample standard deviation (population standard deviation estimated based on your own sample) RSE as difference between your sample mean and the mean of the sampling distribution of mean (average of the 54 sets of sample mean) RSE as Standard Error of the Mean which is Standard Deviation computed on the sampling distribution of the mean. RSE as Standard Error of the Mean approximated by population standard deviation divided by the square root of n (n=30) RSE as Standard Error of the Mean approximated by sample standard deviationofyour own sample) divided by the square root of n (n=30)(bonus points) consideration of why 6-3 and 6-4 are different. 5-aWhat is the relation between population mean and the mean of the 54 means? 5-b. Which of the two distributions (population vs sampling distribution of the means) has a narrower distribution clustered around the population mean? 5-c.To what extent, the observation of the above two (a and b) aspect of the sampling distribution lend support to the Central Limit Theorem?
QNT275 DeVry University Calculating Binomial Probabilities
Statistical Concepts: ProbabilityBinomial Probability Distribution Calculating Binomial Probabilities NOTE:For ...
QNT275 DeVry University Calculating Binomial Probabilities
Statistical Concepts: ProbabilityBinomial Probability Distribution Calculating Binomial Probabilities NOTE:For question 1, you will be using the same data file your instructor gave you for the Week 2 Lab. Using the data file from your instructor (same one you used for the Week 2 Lab), calculate descriptive statistics for the variable (Coin) where each of the thirty-five students in the sample flipped a coin 10 times. Round your answers to three decimal places and type the mean and the standard deviation in the grey area below.Create scatter plots for the binomial distribution when p=0.50, p=0.25, and p=0.75 (see directions above).Paste the three scatter plots in the grey area below. List the probability value for each possibility in the binomial experiment calculated at the beginning of this lab, which was calculated with the probability of a success being ½. (Complete sentences not necessary; round your answers to three decimal places.) Give the probability for the following based on the calculations in question 3 above, with the probability of a success being ½. (Complete sentences not necessary; round your answers to three decimal places.) Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ½ and n = 10. Either show your work or explain how your answer was calculated. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ¼ and n = 10. Write a comparison of these statistics to those from question 5 in a short paragraph of several complete sentences. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ¾ and n = 10. Write a comparison of these statistics to those from question 6 in a short paragraph of several complete sentences. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Using all four of the properties of a Binomial experiment (see page 201 in the textbook) explain in a short paragraph of several complete sentences why the Coin variable from the class survey represents a binomial distribution from a binomial experiment.Compare the mean and standard deviation for the Coin variable (question 1) with those of the mean and standard deviation for the binomial distribution that was calculated by hand in question 5. Explain how they are related in a short paragraph of several complete sentences. Mean: Standard deviation: NOTE:for questions 2-7, you will NOT be using the data file your instructor gave you.Please follow the instructions given in each question. Plotting the Binomial Probabilities For the next part of the lab, open the Week 3 Excel worksheet.This will be used for the next few questions, rather than the data file used for the first question. Click on the “binomial tables” workbookType in n=10 and p=0.5; this simulates ten flips of a coin where x is counting the number of heads that occur throughout the ten flipsCreate a scatter plot, either directly in this spreadsheet (if you are comfortable with those steps), or by using the Week 1 spreadsheet and copying the data from here onto that sheet (x would be the x variable, and P(X=x) would be the y variable.Repeat steps 2 and 3 with n=10 and p=0.25Repeat steps 2 and 3 with n=10 and p=0.75In the end, you will have three scatter plots for the first question below. Calculating Descriptive Statistics Short Answer Writing Assignment – Both the calculated binomial probabilities and the descriptive statistics from the class database will be used to answer the following questions.Round all numeric answers to three decimal places. P(x=0) P(x=6) P(x=1) P(x=7) P(x=2) P(x=8) P(x=3) P(x=9) P(x=4) P(x=10) P(x=5) P(x≥1) P(x<0) P(x>1) P(x≤4) P(4<x ≤7) P(x<4 or x≥7) Mean = np: Standard Deviation = : Mean = np: Standard Deviation = : Comparison: Mean = np: Standard Deviation = : Comparison: NOTE:For questions 8-9, you will use the results of the previous questions. Mean from question #1: Standard deviation from question #1: Mean from question #5: Standard deviation from question #5: Comparison and explanation:
Similar Content
how do you work out 8 5/12 11 1/4
8 5/12 + 11 1/4...
Limits and Continuity Worksheet
A. Define a function, f(x), and pick a value c such that the limit of f(x) as x approaches c from the right and the limit...
Control charts. To use or not to use?
Control Charts: To Use or Not To Use? Control charts are a great way to visualize data, but they aren’t meant to be use...
Sacramento State University Systems of Linear Equations with No Solution Question
...
x2-12x 20<0 solve this
I need to solve using a sign chart then put the solution in interval notation...
MATH 10 De Anza College Application of the Normal Distribution Problems
7/13/2021
HW 5 - Math 10, section Online, Summer 1 2021 | WebAssign
chandersen122@yahoo.com
EN
Home
My Assignments
C...
Review The Data And For The Purpose Of This Project Please Consider The 100 Listing Prices As A Population
Review the data and for the purpose of this project please consider the 100 listing prices Explain what your computed popu...
Assignment Problems
Find the partial derivatives and make them equal to the parameter ? multiplied by the partial Where ? is the part of the s...
Kumon
Kumon Math is a franchised own business that is invested in helping children to master math skills at their own pace, mast...
Related Tags
Book Guides
50 Shades of Grey
by E. L. James
The Power of Habit - Why We Do What We Do in Life and Business
by Charles Duhigg
Hidden Figures
by Margot Lee Shetterly
Persuasion
by Jane Austen
The Great Gatsby
by Francis Scott Key Fitzgerald
Underground A Human History of the Worlds Beneath our Feet
by Will Hunt
Sula
by Toni Morrison
The Call of the Wild
by Jack London
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Unit 14- Written Assignment 11: Factor Analysis
InstructionsLoad the data file unit 14_SPSSHW11_data.sav. A psychologist was interested in whether a mindfulness questionn ...
Unit 14- Written Assignment 11: Factor Analysis
InstructionsLoad the data file unit 14_SPSSHW11_data.sav. A psychologist was interested in whether a mindfulness questionnaire measures a single underlying construct, or whether there is more than one underlying construct. The questionnaire contained 15 items each requiring a response in the range 1 to 6. The responses of 95 participants to the 15 items are coded in the variables s1q1 to s1q15. In order to answer the question above, carry out a principal component analysis with direct oblimin rotation and do the following:1. Describe the factor structure of the questionnaire.a. How many components have eigenvalue greater than one? (2 points)b. How much variance is accounted for? (2 points)c. Consider the scree plot: how many components does that suggest? (2 points)d. Write a brief results section, including a suitable table, to report which items load on each component. (2 points)e. Label the resulting factors based on the items you identified as loading onto them. (2 points)2. Alter the analysis to force a single-factor solution and report the results. Which questions should you throw out? Which questions is loaded the strongest? (5 points)3. Save and submit the SPSS syntax and output files used to complete items 1-2. The file names should begin with your first and last name followed by the homework number (e.g., John Doe HW11.sps; John Doe HW11.spv). (5 points [you read that correctly]
Answer question regarding the binomial case study and grading rubric?
I attached two files one is the question and the other one is example maybe it helps you " It is so similar to the questio ...
Answer question regarding the binomial case study and grading rubric?
I attached two files one is the question and the other one is example maybe it helps you " It is so similar to the question that I want to answer it"
6 pages
20200627151039quiz4
Quiz 4 has 10 problems with each problem being worth 10 points. The total score of Quiz 4 is 100 points and it counts for ...
20200627151039quiz4
Quiz 4 has 10 problems with each problem being worth 10 points. The total score of Quiz 4 is 100 points and it counts for 10 % of the final grade of ...
University of Alaska Anchorage Random Sampling Error Worksheet
The goal of this assignment is to help you understand the logic underlying the estimation of RSE (Random Sampling Error) b ...
University of Alaska Anchorage Random Sampling Error Worksheet
The goal of this assignment is to help you understand the logic underlying the estimation of RSE (Random Sampling Error) based on simulated computation (estimation) using height data. See Excel Sheet 1 on Excel contains 1620 people’s height data These 1620 people’s height are 54 sets of 30 samples – this means that sample size(n) is 30 and you have 54 of them. Therefore, in this assignment we make following assumptions: Height data of 1620 people (54 sets of samples containing 30 people’s height) are population (I know this actually is a set of sample, but we pretend that this is a population: N = 1620) 30 people’s height within each set of sample is a set of sample: therefore sample size is 30 (n n=30) and there are 54 sets of samples. Based on these assumptions, please compute: Population mean (mean of the 1620 people’s height) Sample mean (mean of the 30 people) – please choose a specific sample from 54 samples, and compute the sample mean based on 30 samples in that particular set.Population standard deviation based on 1620 people as population Sample standard deviation (population standard deviation estimated based on your own sample of 30 – so you need to compute the SD on 30 people’s height in your own sample that you chose) Create a sampling distribution of the mean based on these 54 sets of samples and compare the shape (characteristics) of the sampling distribution with population distribution of height that I provided (sheet 2 grouped frequency polygon) by following these steps: Then step 1 compute the mean of 30 people’s height for each of all the 54 sets of samples – so you need 54 sample means for 54 sets of sample step 2 create a group frequency distribution table based on the computed means (54) – this is a grouped frequency table for sampling distribution of the 54 means Compare the shape of frequency distributions between Population of Height (one I provided) and Sampling distribution of the means (54 sets of Means you created). For your reference I am providing the grouped frequency polygon representing the population distribution (the third sheet of the excel) and answer the following questions: What is the relation between population mean and the mean of the 54 means? – same or differentWhich of the two distributions (population distribution of 1620 height data vs sampling distribution of the 54 means) has a narrower distribution clustered around the population mean? to what extent, the observation of the above two (a and b) aspects of the sampling distribution lend support to the Central Limit Theorem? – this requires you read CLM and understand it. RSE as difference between your own sample mean and the mean of the sampling distribution of mean (average of the 54 sets of sample mean)RSE as Standard Error of the Mean which is the Standard Deviation computed based on sampling distribution of the mean – this means computing a SD based on 54 sample means. For this use the sampling distribution of the mean that you created in the above (you need to use population St Dev computation function in Excel – see below). RSE as Standard Error of the Mean approximated by population standard deviation (based on 1620 data) divided by the square root of n (n=30) RSE as Standard Error of the Mean approximated by sample standard deviation (based on your own sample of n=30) (use of n-1 in denominator – sample standard deviation in Excel – see below) divided by the square root of n (n=30)(This is a bonus point of 5 on top of 30) I assume that 6-3 and 6-4 are different even though they are supposed to be similar according to the lecture. Speculate on the reason why they are different.Based on what you have learned on the four different approaches of estimating RSE, they should be the same. But they are different in this one. Why? Hint: the nature of the sample (30 people’s height)? You can include any questions or comments based on this process. Your points is not entirely based on whether your answer is correct; it is mainly based on evidence of THINKING you put here. 6 ) Estimate the Random Sampling Error in the following four different ways based on your understanding of the definition of RSE we just covered in the class: In computing Means and SD, use excel’s computational functions: For mean (average) see: https://www.youtube.com/watch?v=5_OHS-18RbU\ For standard deviation see: https://www.youtube.com/watch?v=uZWQXQG37Zs There are STD. P (population where the denominator is n) and STD.S (sample where the denominator is n-1). Be careful to use appropriate one. You should, by now, know which one to use when. If you have question on this, please send me an email. In sum your assignment needs to address all these questions Population mean Sample mean Population standard deviation Sample standard deviation (population standard deviation estimated based on your own sample) RSE as difference between your sample mean and the mean of the sampling distribution of mean (average of the 54 sets of sample mean) RSE as Standard Error of the Mean which is Standard Deviation computed on the sampling distribution of the mean. RSE as Standard Error of the Mean approximated by population standard deviation divided by the square root of n (n=30) RSE as Standard Error of the Mean approximated by sample standard deviationofyour own sample) divided by the square root of n (n=30)(bonus points) consideration of why 6-3 and 6-4 are different. 5-aWhat is the relation between population mean and the mean of the 54 means? 5-b. Which of the two distributions (population vs sampling distribution of the means) has a narrower distribution clustered around the population mean? 5-c.To what extent, the observation of the above two (a and b) aspect of the sampling distribution lend support to the Central Limit Theorem?
QNT275 DeVry University Calculating Binomial Probabilities
Statistical Concepts: ProbabilityBinomial Probability Distribution Calculating Binomial Probabilities NOTE:For ...
QNT275 DeVry University Calculating Binomial Probabilities
Statistical Concepts: ProbabilityBinomial Probability Distribution Calculating Binomial Probabilities NOTE:For question 1, you will be using the same data file your instructor gave you for the Week 2 Lab. Using the data file from your instructor (same one you used for the Week 2 Lab), calculate descriptive statistics for the variable (Coin) where each of the thirty-five students in the sample flipped a coin 10 times. Round your answers to three decimal places and type the mean and the standard deviation in the grey area below.Create scatter plots for the binomial distribution when p=0.50, p=0.25, and p=0.75 (see directions above).Paste the three scatter plots in the grey area below. List the probability value for each possibility in the binomial experiment calculated at the beginning of this lab, which was calculated with the probability of a success being ½. (Complete sentences not necessary; round your answers to three decimal places.) Give the probability for the following based on the calculations in question 3 above, with the probability of a success being ½. (Complete sentences not necessary; round your answers to three decimal places.) Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ½ and n = 10. Either show your work or explain how your answer was calculated. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ¼ and n = 10. Write a comparison of these statistics to those from question 5 in a short paragraph of several complete sentences. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Calculate (by hand) the mean and standard deviation for the binomial distribution with the probability of a success being ¾ and n = 10. Write a comparison of these statistics to those from question 6 in a short paragraph of several complete sentences. Use these formulas to do the hand calculations: Mean = np, Standard Deviation = Using all four of the properties of a Binomial experiment (see page 201 in the textbook) explain in a short paragraph of several complete sentences why the Coin variable from the class survey represents a binomial distribution from a binomial experiment.Compare the mean and standard deviation for the Coin variable (question 1) with those of the mean and standard deviation for the binomial distribution that was calculated by hand in question 5. Explain how they are related in a short paragraph of several complete sentences. Mean: Standard deviation: NOTE:for questions 2-7, you will NOT be using the data file your instructor gave you.Please follow the instructions given in each question. Plotting the Binomial Probabilities For the next part of the lab, open the Week 3 Excel worksheet.This will be used for the next few questions, rather than the data file used for the first question. Click on the “binomial tables” workbookType in n=10 and p=0.5; this simulates ten flips of a coin where x is counting the number of heads that occur throughout the ten flipsCreate a scatter plot, either directly in this spreadsheet (if you are comfortable with those steps), or by using the Week 1 spreadsheet and copying the data from here onto that sheet (x would be the x variable, and P(X=x) would be the y variable.Repeat steps 2 and 3 with n=10 and p=0.25Repeat steps 2 and 3 with n=10 and p=0.75In the end, you will have three scatter plots for the first question below. Calculating Descriptive Statistics Short Answer Writing Assignment – Both the calculated binomial probabilities and the descriptive statistics from the class database will be used to answer the following questions.Round all numeric answers to three decimal places. P(x=0) P(x=6) P(x=1) P(x=7) P(x=2) P(x=8) P(x=3) P(x=9) P(x=4) P(x=10) P(x=5) P(x≥1) P(x<0) P(x>1) P(x≤4) P(4<x ≤7) P(x<4 or x≥7) Mean = np: Standard Deviation = : Mean = np: Standard Deviation = : Comparison: Mean = np: Standard Deviation = : Comparison: NOTE:For questions 8-9, you will use the results of the previous questions. Mean from question #1: Standard deviation from question #1: Mean from question #5: Standard deviation from question #5: Comparison and explanation:
Earn money selling
your Study Documents