Category: Statistics

Each student must create a short Kaltura Capture video in which they summarize t

Each student must create a short Kaltura Capture video in which they summarize their project. (Please refer to this website link for directions on creating a Kaltura Capture video). Presentations should be approximately 5 minutes in length. Students must include a video of themselves presenting the information and a photo ID, such as their WU student ID or driver’s license. Students should discuss their question, data descriiption, data collection, data organization, data analysis, and conclusion. In addition, each student should watch the video of the classmate to which they are assigned and provide a substantial response (please refer to rubric).
What is a Peer Review? Please refer to this website.
How do I submit a Peer Review? Please refer to this website.
(Note: if the video does not capture the student presenting, along with a photo ID, the presentation will receive a grade of zero.)
Your PowerPoint Presentation is due by Saturday, December 2, 11:59 pm.
PowerPoint on info given covid 19 excel sheet

Please see attachments and let me know if you’re able to solve before hiring. Ex

Please see attachments and let me know if you’re able to solve before hiring. Exercise and Dataset included.
Thank you

The B&K Real Estate Company sells homes and is currently serving the Southeast r

The B&K Real Estate Company sells homes and is currently serving the Southeast region. It has recently expanded to cover the Northeast states. The B&K realtors are excited to now cover the entire East Coast and are working to prepare their southern agents to expand their reach to the Northeast.
B&K has hired your company to analyze the Northeast home listing prices in order to give information to their agents about the mean listing price at 95% confidence. Your company offers three analysis packages: one based on a sample size of 100 listings, one based on 1,000 listings, and another based on a sample size of 4,000 listings. Because there is an additional cost for data collection, your company charges more for the package with 4,000 listings than for the package with 100 listings.
Bronze Package – Sample size of 100 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $24,500
Cost for service to B&K: $2,000
Silver Package – Sample size of 1,000 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $7,750
Cost for service to B&K: $10,000
Gold Package – Sample size of 4,000 listings:
95% confidence interval for the mean of the Northeast house listing price has a margin of error of $3,900
Cost for service to B&K: $25,000
The B&K management team does not understand the tradeoff between confidence level, sample size, and margin of error. B&K would like you to come back with your recommendation of the sample size that would provide the sales agents with the best understanding of northeast home prices at the lowest cost for service to B&K.
In other words, which option is preferable?
Spending more on data collection and having a smaller margin of error
Spending less on data collection and having a larger margin of error
Choosing an option somewhere in the middle
For your initial post:
Formulate a recommendation and write a confidence statement in the context of this scenario. For the purposes of writing your confidence statement, assume the sample mean house listing price is $310,000 for all packages. “I am [#] % confident the true mean . . . [in context].”
Explain the factors that went into your recommendation, including a discussion of the margin of error

i’ve included everything needed for this assignment please read the instructions

i’ve included everything needed for this assignment please read the instructions carefully. thank you.

This section is the most formulaic and technical of the proposal. First, you beg

This section is the most formulaic and technical of the proposal. First, you begin by describing the data that will be used in your study. Who will be the participants? Where will the data be collected? How (questionnaire, interviews, participant observation, ethnography, content analysis) will the data be collected? Will the data be publicly available (if so, describe the original data collection), or will you have to independently collect your own? If you are collecting your own data, describe the procedures that will be involved to get the data (for example, if you are conducting a qualitative study, how long will you be interviewing your participants? How many times will you observe them? How many people will be observed?). What is the unit of analysis (i.e., individuals, groups, social artifacts, etc.) ? What is the target population? How will you sample the population, given that you cannot access the entire population? How generalizeable will the results be, coming from this sample? Discuss potential advantages and disadvantages of this research design.
In the methods portion of the data and methods section, students should begin by restating their hypothesis. Next, offer a clear, explicit articulation of the procedures (operationalization strategy) that will be employed to measure your independent and dependent variables, as well as 5 control variables (usually demographic variables like sex, age, class, education, race).
Lastly, you need to include a brief section on the analytic strategy that will be used in your research. For instance, will you be conducting quantitative research, and if so, what types of statistical analyses will be conducted?
Note: I realize that these recommendations/suggestions are ideal types (best case scenarios), but in general this is how these sections should be structured.
The independent variable for this study will focus on individuals who have disclosed that they have experienced sexual assault.
The dependent variable will measure mental health such as depression, anxiety, and PTSD. from individuals who have experienced sexual assault. I would like the controlled variables to be race, gender, anger scale, social class, victimization, and religiosity.

I have attached a copy of the syntax needed
Your written report should include:

I have attached a copy of the syntax needed
Your written report should include:
a. a brief discussion of what your crosstabs, the statistics) associated with them, and your doubledecker tell us. (14 points)
b. an explanation of why some variables were dropped from regression equations in which they were originally present, if this has been done, or why none were dropped. (5 points)
c. a table showing the coefficients from your final equation, in presentation form. This is illustrated in the text. (6 points)
d. a set of brief explanations of the following elements of your regression output: SEE (or, as R refers to it, the ‘residual standard error’), R-squared, and b. Just explain what measure each of these refers to, and how we interpret its value for these data. (6 points)
e. a discussion of the message of your regression results, i.e., an explanation of what your final equations suggest about the social world. (20 points)

instructions in file below. feel free to message me if there are any questions/r

instructions in file below. feel free to message me if there are any questions/requests regarding the assignment. thank you in advance!

part 2
Submit the exact wording of your quantitative question you will ask.(How

part 2
Submit the exact wording of your quantitative question you will ask.(How many minutes does it take you to get ready to leave the house for the day?) Keep in mind that it is not OK to clarify questions for some people and not for others when collecting data, so your question should clearly reflect exactly what you mean to ask. Data collected from vaguely worded questions will raise questions about how the people in your sample are interpreting your question, which will undermine the purpose of drawing any conclusions from your sample.
Write the three sets of hypotheses (a null and alternative hypothesis) for each of the 3 parameters below. You will decide the sign (
< , >
,
≠
) in your alternative hypothesis based on what you expect your sample data to show. Use correct notation, and define any parameters.
1. The proportion of people that prefer paper books.
2. The difference in proportions of people that prefer paper books between the 18-29 age group and the 30 and over age group.
3. The difference in means for your quantitative variable between the 18-29 age group and the 30 and over age group.
For Part 3 of our project, you will upload a spreadsheet. The requirements for the spreadsheet are as follows:
The spreadsheet you submit must be in the .csv format. Instructions for how to save a Google Sheet as a .csv are found here Links to an external site..
The rows in your spreadsheet represent the cases in your dataset. You must have at least 30 usable* (see bottom of page) cases in the (18-29) age group and at at least 30 usable cases in the (30 or over) age group. This means that you will have at least 60 total usable cases.
The 3 columns in your spreadsheet will represent your variables: AgeGroup, BookType , and the third variable based on the question you devised in Part 2 of the project. AgeGroup and BookType are defined in part 1 of the project. You may include more variables if it was discussed with Mr.G.
Your quantitative variable column should consist of numbers only. No text. For example, if you have “45 minutes” as a data value, just enter 45.
The categorical variables AgeGroup and BookType , must consist of exactly two categories. Also, these categories must be consistently coded so that your variable is read correctly. See example below for clarification.
Example: If your categories for BookType are coded as E and P (for e-book and paper book), this must be consistent.
Below is an example of a correctly coded column of 5 entries. There are two categories, E and P.
BookType
E
P
P
E
P
Below is an example of an incorrectly coded column of 5 entries.
BookType
E
p
P
ebook
P
In the example above, the 2nd and 4th entry will be read as separate categories. In other words, the variable would be interpreted as having 4 categories, E,P, p, and ebook.

*We will only use data from participants that answer all 3 of your questions. If any one of your participants (cases) has missing data, this row will be deemed “unusable”, and you will remove this row from your data set.

Select two (2) articles from this week’s assigned readings.
Provide a brief intr

Select two (2) articles from this week’s assigned readings.
Provide a brief introduction to the concept of Structural Equation Modeling. Be sure to also address different types of modeling that have been used in research such as Latent Predictive Modeling.
Next, provide a brief 1-2 paragraph summarizing each selected article.
Compare and contrast the two articles. For example, how did each study employ SEM to analyze their data? Did they use CFA? Did they use model fit statistics? Was SEM an appropriate tool for the analysis, etc.
Discuss how methods like SEM can be used to investigate your research interests. Provide an example of a study in your area of interest that used SEM or another structural modeling approach.
Provide a brief conclusion to this work in which you summarize the assignment.
Length: 4-6 pages
References: At least 3 scholarly resources
Your manuscript should demonstrate thoughtful consideration of the ideas and concepts presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards.

I need this assignment template finished the excel worksheet will go along with

I need this assignment template finished the excel worksheet will go along with the assignment and I am including both to have