stat questions

CHAPTER 2 2.5
An SRSWOR of size 300 is drawn from a population to estimate the population mean of a characteristic of interest.A 95% Confidence Interval for the population mean based on the sample mean 297897 is(260706,335087).
(a)what is the chance for the confidence interval to include the unknown population means?
(b)Find the numerical value of the SE(sample mean)
(c)Find the 95% confidence interval for the(population mean-sample mean). Then, give the reasons for your answer by showing the steps of your calculation.
(d) Using your findings in(b), determine how far the upper and lower confidence limits in(c) are away from zero in the unit of SE(sample mean).
(e) Present the numerical value of MOE.
(f) Determine the sample size for having(MOE/sample standard deviation)equals 1

379 basic prob and stat: including statkey using homework 5

This assignment requires knowledge of the bootstrap confidence interval for man, t interval for the mean; poison confidence interval for lambda using the normal approximation; calculating derivative with respect to z of |z|. See attached files for additional details. file “5” is the assignment, and “ques1” and “ques2” are dataset that would be used in this assignment.
I can’t upload CSV file so I change 2 files into xls. You might need to change it back to csv in order to upload it to statkey.
extra tips if your answer is beneficial.

Statistics Question

Reserve Problem Chapter 7 Section 1 Problem 1
A random sample of 140 in size is taken from a population with a mean of 1540 and unknown variance. The sample variance was found out to be 130.
a. Find the point estimate of the population variance.
b. Find the mean of the sampling distribution of the sample mean.
Reserve Problem Chapter 7 Section 1 Problem 4
In order to find out the defect rate of the manufactured components a random sample of n = 160 was selected. Four specimens were found to be defective. Estimate the proportion of defective components in the population.
Reserve Problem Chapter 8 Section 1
Problem 4 During the independent research 30 women were chosen to measure their weight.
The mean value of weight is 66 kg and it is known from the previous experience that the weight is normally distributed with σ = 10 kg.
a. Find a 95% two-sided confidence interval on the mean weight.
b. Find a 90% two-sided confidence interval on the mean weight.
c. Which interval is wider?
Reserve Problem Chapter 8 Section 2 Problem 6
A particular brand of diet margarine was analysed to determine the level of polyunsaturated fatty acid (in percentages). A sample of six packages resulted in the following data:
16.8, 17.2, 17.4, 16.9, 16.5, 17.1.
a. Choose the correct normal probability plot for these data. Is it reasonable to assume that the level of polyunsaturated fatty acid is normally distributed?
b. Calculate a 99% confidence interval on the mean μ
Reserve Problem Chapter 8 Section 3 Problem 4
The percentage of alcohol in the cough syrup was measured in 101 randomly selected samples. The sample standard deviation is s = 0.50. Construct a 90% two-sided confidence interval for σ.
Reserve Problem Chapter 8 Section 4 Problem 1
During an independent research, 2500 randomly selected people were interviewed whether they visit their dentist for a regular dental checkup or not. Only 2000 gave a positive answer. Calculate a 95% two-sided confidence interval on the proportion of people who regularly have a dental checkup

PHC-121: Introduction to Biostatistics

Submission Guidelines:
Write 1-2 page(s) essay not less than 200 words and maximum of 500 words excluding references and data table with a font of Times New Roman and size of 12. The line spacing should be 1.5.
Heading should be Bold and text color should be Black
AVOID PLAGIARISM
Assignments must be submitted with the filled Cover Page (Students information should be filled on the first page of the document)
Assignments must carry at least TWOup to date references using APA style. Please see below web link about how to cite APA reference style. Click or tap to follow the link: https://guides.libraries.psu.edu/apaquickguide/intext.

MLB Team Stats

This week I would like you to use the internet to secure a data set. Choose the following website and choose HR which is the record of all home runs hit during the 2017 Baseball Season: MLB Team Stats – 2017
Use the data from 2017 as a sample to estimate the mean number of home runs hit by a Major League Baseball team each year. Be sure to note that this information is being used as a sample not population data. There are 30 major league baseball teams so you will have a data set of 30 values. Find the mean and the standard deviation for the number of home runs hit by each team. Be careful to select one from each team. Be sure to include an excel file of your data set. Find a 95% confidence interval for the mean number of home runs hit by a Major League Baseball team each year. I am including a link for you to use to find the sample mean and sample standard deviation. Video on using excel
Post the home run data for the 2017 Baseball Season.
Subsequent post: Thursday until Sunday by 11:59 PM. Post the 95% Confidence interval for the mean number of home runs hit by a Major League Baseball team. Also be sure to respond to at least one of your colleagues helping them with further understanding confidence intervals. The following link will help you use excel to find the mean and sample standard deviation:
You must start a thread before you can read and reply to other threads

R Code question

Assume that the above 2022 admission data is the population is known
Use the R program and the codes given in Lectures and Discussions to answer the questions below
l.Points=1 (1 1)=3.
(a)What is the numerical value of the population size N?
(b)Calculate the population mean and the population variance using the equations (2.8) and (2.9) in Text. Copy and paste the R code and output as the answer.
ll.Points=1 (1 1)=3.
(a) Draw a simple random sample without replacement of sizen=3. Copy and paste the R code and output as the answer.
(b)Calculate the sample mean and the sample variance using the equations(2.11)and(2.13)in Text Copy and paste the R code and output as the answer
lll.Points=(1 1) (0.5 0.5 0.5 0.5)=4.
(a)Calculate the variance and standard error of the sample mean using the equations(2.14)and(2.15 in Text.Copy and paste the R code and output as the answer
(b)Calculate the difference between the sample mean and population mean. What is the meaning of the sign of the difference? What is the interpretation of the magnitude of the difference? Express the difference in the standard error unit i.e as a constant time of the standard error and specify the numerical value of it.

Instructions: Use the hsbdata.sav file and College Data file from the website included with your textbook’s Support Material, IBM

Instructions:
Use the hsbdata.sav file and College Data file from the website included with your textbook’s Support Material, IBM SPSS for Introductory Statistics. Scroll to Student Resources and then click the Data Sets (ZIPS) button and select the file.

Complete the following points:

1-Is there a significant difference in mosaic2 between academic tracks? Explain. Provide a full write-up of the results. (hsb Data file)

2-Is there a difference between the number of hours students study and the hours they work using children as a factor? Provide a full write-up. (College Data file)

Please see the attached file for more information.

Module 15 Homework 1 – Distribution of Sample Proportions (12 of 23)

Progress CheckUse this activity to assess whether you and your peers can:
Use a simulation to obtain a sampling distribution along with its mean, standard deviation, and error.
Interpret the mean and error for a sampling distribution.
PromptThe National Health Survey uses household interviews to describe the health-related habits of U.S. adults. From these interviews they estimate population parameters associated with behaviors such as alcohol consumption, cigarette smoking, and hours of sleep for all U.S. adults.In the 2005-2007 report, they estimated that 30% of all current smokers started smoking before the age of 16. Imagine that we want to verify this estimate. So we randomly select a sample of 100 smokers and calculate the proportion who started smoking before the age of 16. How much error do we expect in the sample proportions if the 30% is correct for the population overall? Use the applet and a give an error based on 2 standard deviations.
Below is the applet we used in the simulations on the previous page. Here are the directions.
Use the first dropdown list to select the appropriate population proportion p.
Use the second dropdown list to select the appropriate sample size n.
Check the Show Standard Deviation Bars box.
Click the Run Simulation (5000 Samples) button.

Module 15 Discussion BoardUse the Module 15 discussion board (opens in a new tab) to ask questions or provide feedback about the problems in any Module 15 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 the Open Learning InitiativeLinks to an external site. and licensed under CC BYLinks to an external site..
RubricPeer Review (FD Optional)
Peer Review (FD Optional)
CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeFirst Attempt
5 ptsFull Marks
A first attempt was made on this assignment
0 ptsNo Marks
5 pts
This criterion is linked to a Learning OutcomeAnswering the Prompt
3 ptsFull Credit
All 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 Credit
One 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 Marks
The “Prompt” is not addressed or the work is incorrect or missing. Or, the first draft was not a good-faith effort.
3 pts
This criterion is linked to a Learning OutcomePeer Review
2 ptsFull Credit
You 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 Credit
You 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 Marks
No peer review provided or the comments are not instructive. Or, you did not commit a good-faith effort on your first draft.
2 pts
Total Points: 10

Find an example of data in the news or on social media and share it in the Discussion Board.

Find an example of data in the news or on social media and share it in the Discussion Board. If you find your data in an online source, please include the link to the source in your post.

Describe the type of data in your example, and what questions you have around the validity of the data. Is there anything misleading or unclear about the way the data is presented?

Be sure to respond to at least one of your classmates’ posts.

Hint: Please be sure to review the week 1 LEARN section in Blackboard for further understanding about the types of data we have learned about so far.

Example:

Here is an example of what your post this week should look like. Your data sources and what you talk about may vary but use this as a general guideline to construct a successful post this week.

Hello Everyone,

After in-depth research, I have selected an article from the New York Times titled, See How Vaccinations are Going in Your County or State, that shares several examples of quantitative data (1). The ALEKS topic, Classification of variables and levels of measurement, really helped me to understand various types of data. I recognized this data as quantitative right away because it is numeric.

The article provides information on the people who have received the Covid-19 vaccine. It reports on people who have been fully vaccinated by Johnson

Stata about the Econometrics

The answer must be max one page per question, with font size 12 and double spaced.
a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers.
Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please show your calculations in the main text of the project (even if they are done in the do file).
You must use the template answer sheet and the template appendix given at the end of the document, and please follow all the instructions. Please fulfil all the questions and all the questions.
Word requirements: 5 pages of word document, with font size 12 and double spaced. Max one page per each question, At the end of this document, a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers. Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please follow every single instructions given in the above,

Stata about the Econometrics

The answer must be max one page per question, with font size 12 and double spaced.
a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers.
Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please show your calculations in the main text of the project (even if they are done in the do file).
You must use the template answer sheet and the template appendix given at the end of the document, and please follow all the instructions. Please fulfil all the questions and all the questions.
Word requirements: 5 pages of word document, with font size 12 and double spaced. Max one page per each question, At the end of this document, a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers. Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please follow every single instructions given in the above,

Stata about the Galton

The answer must be max one page per question, with font size 12 and double spaced.
a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers.
Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please show your calculations in the main text of the project (even if they are done in the do file).
You must use the template answer sheet and the template appendix given at the end of the document, and please follow all the instructions. Please fulfil all the questions and all the questions.
Word requirements: 5 pages of word document, with font size 12 and double spaced. Max one page per each question, At the end of this document, a template answer sheet is provided for you to follow. Please note that most questions require short and concise answers. Other questions can be answered with a self-contained table (we will cover this on week 6 in the lab, please refer to the guidelines on tables in the STATA guide). Please number your tables with the question number (i.e. “Table 1.2.” reports the results for question 1.2. in the text as well as in the do-file.)
You also need to provide an Appendix that contains a STATA log file (resulting of running a do file) that shows how you have solved each question.
Please follow every single instructions given in the above,

Statistics Question

Discuss the assumptions of parametric statistical testing versus the assumptions of nonparametric tests. Discuss why a researcher would select a nonparametric approach based on the data and when they would select parametric tests for their data set. Does it matter what type of variables have been collected in the dataset?
Embed course material concepts, principles, and theories (which require supporting citations) in your initial response along with at least 3 scholarly, peer-reviewed journal article. Use University academic writing standards and APA style guidelines.

Please write the results section for both research question 3 and 4, see attached. Also attached is the data

Please write the results section for both research question 3 and 4, see attached. Also attached is the data file in SPSS for the assignment. Non parametric statistical analysis should be used in finding the results.

Please explain the results in detail.
For research question 3, I believe that a Wilcoxon test should be ran for questions 12 and 14, essentially comparing the responses based on country origin that the financial assistance is received. A second Wilcoxon test should be performed in the same manner for survey questions 13 and 15. So two tests should be performed to respond to research question 3.

For research question 4, use survey question 7 as the independent variable and survey question 24 as the dependent. I believe that a Friedman test should be conducted.

Statistics Question

Investigation 1: Fairfax County High School Degree or Higher
According to the 2020 census conducted by the U.S. Census Bureau, 82.3% of all Fairfax
County residents aged 25 or higher has obtained a high school degree or higher. All work for this
investigation will be completed in StatKey.
a) Create a sampling distribution of 10,000 samples of sample size 12 for Fairfax County
residents that have a high school degree or higher. In StatKey, from the main page, click
on Proportion (to the right of sampling distribution). Now do the following: Edit
Proportion → Enter 0.823 → Press Ok. Next to ‘Choose samples of size n’, enter 12 and
then click ‘Generate 1000 Samples.’ Click ‘Generate 1000 Samples’ nine more times to
obtain 10,000 samples. Copy your graph (i.e. provide a screenshot) into the solutions
document.
b) Describe the shape, center, and spread of the sampling distribution. Make sure to provide
the values for center and spread in your description.
c) Would it be appropriate to construct a 95% confidence interval with the information in
1(a) and 1(b)? Explain why.
d) Now we will create a sample distribution of 10,000 samples of sample size 120. Next to
‘Choose samples of size n’, enter 120 and then click ‘Generate 1000 Samples.’ Click
‘Generate 1000 Samples’ nine more times to obtain 10,000 samples. Copy your graph
into the solutions document.
e) Describe the shape, center, and spread of the sampling distribution. Make sure to provide
the values for center and spread in your description.
f) Compare the values of center and spread for the sampling distribution generated in part
1(e) to those values found in 1(b). Please use the actual values in your comparison.
g) Would it be appropriate to construct a 95% confidence interval with the information in
1(d) and 1(e)? Explain why.
h) Reset your plot and generate 100 samples. Once you do that, click the Confidence
Intervals tab to the right of Data Tables (on the right side of the screen). Take a
screenshot of the 100 confidence intervals and paste it into your solutions document.
Compare the coverage percentage to 95% in a complete sentence.

Statistic – data analysis spss

Data interpretation:
1) The analyses will be conducted using a T-test to analyze different groups. based on
the data size, nature of data, numerical or nominal, categorical, ordinal and the like.
2) Statistical analysis: using the Statistical Package for the Social Sciences software
(Statistical Package for the Social Sciences (SPSS), IBM Corporation, (version 23).
3) BMI will be calculated by using the CDC BMI Calculators- the ratio of weight to the
square of height (kg/m2).
4) MLR is done for the purpose of figuring the correlation between the dependent variables
and the independent variables.
– what percent of anthropomorphic (waist or hip circumference) values are determined by
Calcium or Vit.D.
5) Chi-square tests and multivariate logistic regression tests will use to assess the correlation
between abdominal obesity and calcium and vitamin D level.
– Chi-Square Test is used for verifying if categorical variables in a population are different
from the expected values. like the differences between educated groups and not educated
groups that are deficit in Calcium or Vit.D. Ditto for age groups.
Change in body weight and VAT were adjusted for baseline variables found to be different between groups by using ANCOVA.
25(OH)D concentrations compared with baseline and change of BMI, VAT, and SAT at 16 wk was performed by using ANOVA
That what should be but if you recommended other analysis and give me similar result telling me. And I will share my excel data set once you accepted.

Statistic – data analysis

Data interpretation:
1) The analyses will be conducted using a T-test to analyze different groups. based on
the data size, nature of data, numerical or nominal, categorical, ordinal and the like.
2) Statistical analysis: using the Statistical Package for the Social Sciences software
(Statistical Package for the Social Sciences (SPSS), IBM Corporation, (version 23).
3) BMI will be calculated by using the CDC BMI Calculators- the ratio of weight to the
square of height (kg/m2).
4) MLR is done for the purpose of figuring the correlation between the dependent variables
and the independent variables.
– what percent of anthropomorphic (waist or hip circumference) values are determined by
Calcium or Vit.D.
5) Chi-square tests and multivariate logistic regression tests will use to assess the correlation
between abdominal obesity and calcium and vitamin D level.
– Chi-Square Test is used for verifying if categorical variables in a population are different
from the expected values. like the differences between educated groups and not educated
groups that are deficit in Calcium or Vit.D. Ditto for age groups.
Change in body weight and VAT were adjusted for baseline variables found to be different between groups by using ANCOVA.
25(OH)D concentrations compared with baseline and change of BMI, VAT, and SAT at 16 wk was performed by using ANOVA
That what should be but if you recommended other analysis and give me similar result telling me. And I will share my excel data set once you accepted.

Statistic – data analysis

Data interpretation:
1) The analyses will be conducted using a T-test to analyze different groups. based on
the data size, nature of data, numerical or nominal, categorical, ordinal and the like.
2) Statistical analysis: using the Statistical Package for the Social Sciences software
(Statistical Package for the Social Sciences (SPSS), IBM Corporation, (version 23).
3) BMI will be calculated by using the CDC BMI Calculators- the ratio of weight to the
square of height (kg/m2).
4) MLR is done for the purpose of figuring the correlation between the dependent variables
and the independent variables.
– what percent of anthropomorphic (waist or hip circumference) values are determined by
Calcium or Vit.D.
5) Chi-square tests and multivariate logistic regression tests will use to assess the correlation
between abdominal obesity and calcium and vitamin D level.
– Chi-Square Test is used for verifying if categorical variables in a population are different
from the expected values. like the differences between educated groups and not educated
groups that are deficit in Calcium or Vit.D. Ditto for age groups.
Change in body weight and VAT were adjusted for baseline variables found to be different between groups by using ANCOVA.
25(OH)D concentrations compared with baseline and change of BMI, VAT, and SAT at 16 wk was performed by using ANOVA
That what should be but if you recommended other analysis and give me similar result telling me. And I will share my data set once you accepted.