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If the flight is not overbooked, the airline loses revenue from empty seats, but if too many seats are sold, the airline loses money from the compensation it must pay to the bumped passengers.

American Airlines Flight 171 from New Yorks’ JFP airport to LAX airport in Los Angeles uses an Airbus A321 aircraft with 189 seats available for passengers. American Airlines can overbook by accepting more reservations than there are seats available. If the flight is not overbooked, the airline loses revenue from empty seats, but if too many seats are sold, the airline loses money from the compensation it must pay to the bumped passengers. Assume that there is a 0.0995 probability that a passenger with a reservation will not show up for the flight (based on data from the IBM research paper “Passenger-Based Predictive Modeling of Airline No-Show Rates” by Lawrence, Hong, and Cherrier). Also assume that American Airlines accepts 205 reservations for the 189 seats that are available and that passengers are independent of each other.
Using StatCrunch’s calculators, find the probability that when 205 reservations are accepted for American Airlines Flight 171, there are more passengers showing up than there are seats available. Is the probability of overbooking small enough that it does not happen very often, or does it seem too high so that changes must be made to make it lower?
Use trial and error to find the maximum number of reservations that could be accepted so that the probability of having more passengers than seats is 0.05 or less.
What do you think about this policy of overbooking flights? Is it a good thing, a bad thing, or a little of both? Why do you think that?

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Statistics

M4                               gender                         1=yes

Assignment 3
For assignment #3, you will be working with the variables to answer your research question. To begin with, read the Walters, et al. (2020) article. This article provides a good overview of the theory, constructs, and variables associated with the data set.
Next, you will need to identify variables of interest. Use the article, your social work experience, and your data to identify the variables. There is not a correct number of variables. It will depend on your question and your population as to what data will be available to operationalize these constructs.
Finally, you will start your data log. This will be a working document of your study variables. Headings should include original name of variable, rename of variable, original value, recoded value. You will use the data dictionary to document variables as you modify, create, and convert in the upcoming assignment. Also do not forget to keep up with your version control document. For this assignment, please submit the descriiptive statistics to me in a written format and with a frequency table.
Sample:

Original Name             Renamed                     Value                           Recoded value
M4                               gender                         1=yes
                                                                        2=no
                                                                        88=unknown
                                                                        99=refused
OVERALL: For assignment 3, please turn in a written narrative of your descriiptive statistics and a table to display the data as well.
Please use my
NOTE****************
I have attached my Assignment 3 CodeBook—the first bottom tab is the code book. Please be descriiptive. Also, I have attached photos of the exact same layout needed. Also, I gave you the Assignment 2 Assignment Log. It is where you will add everything while following the layout of the pictures. Please use my code book and find the data in the statistics. If you can not find it you are able to make it up, but please please make it all realistic.

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Statistics

For additional details, please refer to the module five short paper guidelines and rubric pdf document.

Instructions
Read the article One Hour of Extra Screen Time Drags Down Teenagers’ Grades, by Kate Kelland. Summarize the main points, pinpoint any problem with interpretation of the study’s results, indicate what incorrect conclusions or applications result from this problem, and state how you would properly interpret the results of the TV study.
For additional details, please refer to the Module Five Short Paper Guidelines and Rubric PDF document.
Article: https://www.huffpost.com/entry/one-hour-of-extra-screen-time-drags-down-teenagers-grades_n_55e99448e4b03784e2758b2a

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Please follow all the bullet points.

It is a project assignment.
Includes using excel and NZight.
Will attach unique dataset and PDF below.
100 marks – 4 main questions.
Please follow all the bullet points.

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Statistics

Next, you will be generating an additional research question that will lead to a bivariate analysis (aka two variables).

Instructions
For the data management and analysis assignment #4, you will be continue to work with your variables. In this assignment we are going to focus on data cleaning.
If you have not renamed your variables, do that in this assignment. Based on your question, you may need to recode some of your variables, create total scores, remove missing data etc…  
Next, you will be generating an additional research question that will lead to a bivariate analysis (aka two variables). Example research questions:
Is there a relationship between years in practice and burnout?
Is there a significant relationship between burnout and job satisfaction?
You should be documenting all these variable changes in your data dictionary and use your version control document (aka data log), when you make data changes such as deleting the missing data.
You also need to run descriiptive statistics. You may have done this in assignment 2 but you will want to re-run them based on the new changes that you made in the your data set. Please submit a written descriiption of the descriiptive statistics.
Grading Guidelines
To receive a grade for this assignment, you will submit your data dictionary, data log and include your research questions on the data log.
NOTE******************************
I have attached my Codebook. Please let me know if you need anything! This needs to be created and either on excel or Word.

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Statistics

Teachers at ace charter school were given a 20% raise in their salary in august of 2015.

This will be a written assignment for my doctoral quantitative analysis class regarding T-Tests.
Using the attached data (i.e., “job satisfaction” and “survey”), perform one analysis (Part A) using a dependent (or paired) samples t-test and the other (Part B) using the independent samples t-test. Determine appropriate test for each relationship, and then proceed with your analyses.  (To be clear, you are required to perform TWO t-tests in this assignment.)
Part A
Teachers at ACE Charter School were given a 20% raise in their salary in August of 2015. Of all the teachers at ACE, 30 of them were asked to participate in a study to assess the effect of the pay raise on their overall job satisfaction. How was their job satisfaction (“0” = very unsatisfied to “50” = very satisfied) affected as a result? (Note: You can make causal inferences in this analysis.) (Sample = 30 ACE teachers in the study. Population = all ACE teachers.)
* What is the research question? (Use “difference” or “effect” language as we are no longer talking about “relationship” among variables but differences between groups or an effect of X on a particular population.)
* What is the null hypothesis?
* What is the research hypothesis? (Directional)
* Basic descriiptive analysis appropriate for the variables used (e.g., mean, median, range, SD, etc.) in a paragraph form. (Don’t just include a number of SPSS tables and not talk about it.)
* State the rationale for applying either independent or dependent t-test in this investigation using appropriate readings and resources in Module 6. (Please cite specific references.)
* Write out the results in an APA format. (Use the appropriate example below as your template.)
* Please include appropriate tables from the SPSS output used in your analyses.
Part B
Using a sample of 575 participants from River Forest, IL, compare the average years of education (variable name = “educ”) between men and women in this city. (Note: Avoid causal inferences here, and just talk about the differences between men and women in the analysis.) (Population = all adults in River Forest, IL.)
* What is the research question?  (Use “difference” language as we are no longer talking about “relationship” among variables but differences between groups.)
* What is the null hypothesis?
* What is the research hypothesis? (Non-Directional)
* Basic descriiptive analysis appropriate for the variables used (e.g., mean, median, range, SD, etc.) in a paragraph form along with the SPSS output showing the descriiptive results. Be sure to analyze the years of education by men and women separately. An aggregate analysis of years of education would not be of much use here. 
* State the rationale for applying either independent or dependent t-test for in this investigation using appropriate readings and resources in Module 6. (Please cite specific references.) 
* Write out the results in an APA format.  (Use the appropriate example below as your template.)
* Please include appropriate tables from the SPSS output used in your analyses.
An Example of a Paired-Samples t-Test Result Write Up
“Using a sample of 100 participants, a paired-sample t-test was conducted to compare the number of words recalled (from 0 to 15) in ginkgo and placebo conditions. There was a significant difference in the number of words recalled for ginkgo (M = 6.23, SD = 3.91) and placebo (M = 4.35, SD = 3.45) conditions; t(99) = 4.12, p < .001. These results suggest that consumption of ginkgo is related to a significant or meaningful increase in one’s memory, by about two points. The size of the effect (using Cohen's d) is medium at .51.”
An Example of an Independent Samples t-Test Result Write Up
“Using a sample of 200 participants, an independent samples t-test was conducted to compare the number of words recalled (from 0 to 15) in ginkgo (n = 100) and placebo (n = 100) groups. There was a significant difference in the number of words recalled for ginkgo (M = 7.95, SD = 3.91) and placebo (M = 5.85, SD = 3.60) groups; t(198) = 1.99, p = .03. These results suggest that ginkgo group had greater word recall than their placebo counterparts, by about two words. The size of the effect (using Cohen's d) is medium at .56.”
I have attached the SPSS output and relevant material for each part, as well as recommended resources to elaborate on the assignment expectations. Make sure to provide substantial evidence from scholarly resources and refrain from making generalized statements. Textbooks, blogs, magazine or internet articles, book chapters, or special reports, do not count toward scholarly resources.
The powerpoint slides provided come from the class textbook, which should be the primary source used to support your statements (Salkind, N.J. & Frey, B.B. (2020). Statistics for People Who (Think They) Hate Statistics (7th ed.). SAGE Publications, Inc.)
Recommended Sites:

http://statistics-help-for-students.com/How_do_I_interpret_data_in_SPSS_for_an_independent_samples_T_test.htm#.Yyzi8C-B0lI
http://statistics-help-for-students.com/How_do_I_interpret_data_in_SPSS_for_a_paired_samples_T_test.htm#.YyzjMi-B0lI
https://lbecker.uccs.edu

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Please complete the attached work. once finished, please return the finished doc

Please complete the attached work. Once finished, please return the finished documents including the updated SPSS output file.

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Statistics

Explain why you selected that test, linking features of the scenario/data to information from the choose your test document.

Submit the Milestone Two Worksheet Word Document, In this milestone, you will address the following:
Indicate sample size (n = ?) and describe what consequence(s) this sample size will have on your analyses and on your reporting of results.
Using the Choose Your Test document PDF, select a statistical procedure appropriate to your scenario/data. Explain why you selected that test, linking features of the scenario/data to information from the Choose Your Test document.
Note: This milestone addresses Section II, parts A and B only.
For additional details, please refer to the Milestone Two Guidelines and Rubric PDF document and the Final Project Guidelines and Rubric PDF document.

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Statistics

For item 1 (have at least 10 individuals complete the survey), please make up the data as if 10 individuals completed it.

Please refer to the attached instruction labeled as WK 6 and use the survey completed from order # #377031134
For item 1 (have at least 10 individuals complete the survey), please make up the data as if 10 individuals completed it.
If you don’t have JASP for the t-tests, please use excel or online software. Just let me know what variables you chose so that I could replicate the data on JASP.

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Statistics

You may use this information for ample practice to familiarize yourself with processes and expectations.

Need help with finding and selecting a data set. Something similar to the attached example, but not the same topic as anxiety. If you could find something about leadership that would be great. Once the data set is identified, please provide one page on the overall scenario combined with the key to the data set. Similar to the example. Also, please provide the link to the data set and excel file.
*Note: Secondary data sets are discussed in Week Four. Until then, a sample data set has been attached. The Excel file provides responses of 2571 doctoral students on an Anxiety Questionnaire that includes demographics. The pdf file provides the overall scenario combined with the key to the data set. You may use this information for ample practice to familiarize yourself with processes and expectations. It may NOT be used for the actual capstone assignment.