1.5-2 page research proposal, Times new roman font, 12 point, double spacing.Topic: Is there a relationship between [physical measurement] and [sports performance] . The [physical measurement] could be hand span, length of inseam, length of foot, etc. The [sports performance] could be free throw percentage, time for 50m sprint, etc.Your group should turn in a project proposal (with all group members’ names) by the proposal due date. The proposal is a page or so describing what you plan to do. Be as specific as possible, describing what question you want to investigate, and how you plan to obtain data. Your proposal should address the following 5 questions: 1. What is the topic of your project? 2. What are the main issues or problems you plan to address? 3. Describe clearly the observations/subjects that you plan on collecting, and how to collect them. The total number of observations should be more than 30. 4. Describe clearly all the variables you will measure. There should be at least 2 numerical (quantitative) variables, and at least 2 categorical (qualitative) variables. 5. What is your Data Set Dimensions? They should be at least 30 rows and 4 columns My thoughts: How would I do a null and alternative hypothesis. And I need help using what statistical method would I use. Like two sample t or one sample t test?? Also, I need help on what I am testing for (like a treatment effect? And any relationship between the two days sets. I’m not actually doing this experiment, just need help kinda getting this paper going and any input would be great.

PLEASE SEE ATTACHMENTSIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to address research problemsScenarioYou

PLEASE SEE ATTACHMENTSIn this project, you will demonstrate your mastery of the following competency:Apply statistical techniques to address research problemsScenarioYou are a data analyst for a basketball team. You have found a large set of historical data, and are working to analyze and find patterns in the data set. The coach of the team and your management have requested that you use descriptive statistics and data visualization techniques to study distributions of key variables associated with the performance of different teams. Data-driven analytics will help the management make decisions to further improve your team’s performance. You will use the Python programming language to perform your statistical analysis. You will also need to present a report of your findings to the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications. The managers will use your report to find areas where the team can improve its performance.Note: This data set has been “cleaned” for the purposes of this assignment.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye…DirectionsFor this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.Python Script: To complete the tasks listed below, open the Project One Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:Choose and create a data visualization.Calculate descriptive statistics including mean, median, min, max, variance, and standard deviation.Construct confidence intervals for a population proportion and a population mean.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:Introduction: Set the context for your scenario and the analyses you will be performing.Data Visualization: Identify and interpret your chosen data visualization.Descriptive Statistics: Identify and interpret measures of central tendency and variability.Confidence Intervals: Identify and interpret the lower and upper limits of confidence intervals.Conclusion: Summarize your findings and explain their practical implications.

QUESTION 1. Reliability This section describes and defends the procedures used to determine the reliability of the data collected. Reliability

QUESTION 1. Reliability This section describes and defends the procedures used to determine the reliability of the data collected. Reliability is the extent to which an experiment, test, or any measuring procedure is replicable and yields the same result with repeated trials. For this section, provide specific reliability statistics for quantitative instruments, identifying how the statistics were developed from the literature. (My instrument is The International Continence Society’s Consultation on Incontinence awarded the ICIQ-UI-SF. I just need reliability statistics for quantitative instruments, identifying how the statistics were developed from the literature) QUESTION 2. Validity This section describes and defends the procedures used to determine the validity of the data collected. Validity refers to the degree to which a project accurately reflects or assesses the specific concept that the investigator is attempting to measure. Ask if what is actually being measured is what was set out to be measured. As an investigator, you must be concerned with both external and internal validity. (For this section, provide specific validity statistics found in the literature for quantitative instruments, identifying how they were developed) I have already started, I used the following article, so the writer can use another article, concentrate on the bolded words.

Need Urgent Help!!!!This is a timed math exam that needs to be completed within 1 hour. This math is from

Need Urgent Help!!!!This is a timed math exam that needs to be completed within 1 hour. This math is from statistics,probability, means, and standard deviation, and etc. Must show all work and upload in a timely matter. Attached below are the questions that needs to be completed. Also,on this test, X-bar (or Xbar) is used for

Assistance with end of chapter review Questions will be uploaded. This Data Analysis project will make use of the questions

Statistics Assignment Writing ServiceAssistance with end of chapter review Questions will be uploaded. This Data Analysis project will make use of the questions at the end of Chapter 9. While completing this assignment contemplate: What are the major components in determining causality? How does good experimental design impact our ability to draw conclusions?Review

In a study investigating the effects of humor on memory, Schmidt showed participants a list of sentences, half of which

In a study investigating the effects of humor on memory, Schmidt showed participants a list of sentences, half of which were humorous and half were non-humorous. Schmidt found that participants consistently recalled more of the humorous sentences than the non-humorous sentences, demonstrating that the use of humor increased participants’ recall of sentences.

D8: In a certain college, 33% of all physics majors belong to the math club. Explain the method used and

D8: In a certain college, 33% of all physics majors belong to the math club. Explain the method used and calculate the following:Does this scenario meet the criteria of a binomial probability distribution? Justify your answer by verifying each of the four conditions.If 10 students are selected at random from the physics majors, what is the probability that exactly 6 belong to the math club?If 10 students are selected at random from the physics majors, what is the probability that less than 6 belong to the math club?What is the probability that no more than 6 belong to the math club?What is the probability that more than 6 belong to the math club?Address the importance of understanding the terms “less than,” “no more than,” “greater than.”

Module 22 – Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) – mod 22 group 3Module

Module 22 – Hypothesis Test for a Population Mean Lab (13 of 19 discussion 1) – mod 22 group 3Module 22 – Matched Pairs Lab (14 of 19 discussion 2) – mod 22 group 3Module 22 – Hypothesis Test for a Population Mean (17 of 19 discussion 3) – mod 22 group 3Module 23 – Hypothesis Test for a Difference in Two Population Means (5 of 7 discussion 1) – mod 23 group 1Module 24 – ANOVA (12 of 14 discussion 1) – mod 24 group 2Module 25 – Chi-Square Test of Independence (6 of 8 discussion 1) – mod 25 group 3

2 page research proposal. Topic: Is there a relationship between [physical measurement] and [sports performance] . The [physical measurement] could

2 page research proposal. Topic: Is there a relationship between [physical measurement] and [sports performance] . The [physical measurement] could be hand span, length of inseam, length of foot, etc. The [sports performance] could be free throw percentage, time for 50m sprint, etc.During this module, each group member will submit the group’s research proposal for instructor approval that includes the main variables, any control variables, how they are labeled, what the value ranges are, the specific data source, and the tentative research question.

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