Category: Statistics

This week’s lab highlights the use of probability and normal distribution.
Follow the directions below to gather data, calculate using Excel spreadsheets, and interpret the results.

This is a statistics course as part of a Psychology
degree.
Please follow the directions as advised and
follow the rubric to in order to meet the requirements. It’s strongly
recommended to use JASP service as recommended by the university.
·        
For quantitative,
no references are required
·        
For
qualitative, follow guidelines where necessary

Complete steps 1-8
You will analyze data from a sample of home runs hit per season from 2000 – 2023 (excluding 2020).  You can either download the Excel file or work in Office 365 or Google Drive.  

A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends.
You work for Mercer Human Resources. The Mercer Human Resource Consulting website lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.
More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.
https://mobilityexchange.mercer.com/Insights/ cost-of-living-rankings#rankings
Assignment Guidance:
In the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.
You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data).
Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well.
Deliverable Requirements:
This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression.
The format of this assignment will be an Executive Summary. Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment. If you are unsure of an Executive Summary, this resource can help with an overview. How to Write an Executive Summary That Gets the Job Done 2023.pdf
Things to Consider:
To help you make this decision here are some things to consider:
Based on the MLR output, what variable(s) is/are significant?
From the significant predictors, review the mean, median, min, max, Q1 and Q3 values?
It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.
Based on the descriptive statistics, for the significant predictors, what city has the best potential?
What city or cities fall are below the median?
What city or cities are in the upper 3rd quartile?

Please complete the remaining questions, beginning at 28.
The link to the training video is embedded in the file.

Open the document that I attched on addional files and answer the
questions that are present on the document. The questions are on: probability, mutual exclusivity, nean, Standard deviation, IQR etc

There is three assignment needed in being completed. Followed the instructions giving,
as well the rubrics.

In this assignment, you will test for a significant difference
between the average resting heart rate of males and the average resting
heart rate of females in your heart rate data.  You have observed that
the mean rates are not exactly the same, but are they significantly
different?  You may use either of the two methods for testing a
hypothesis illustrated in Realizeit:  compare the two confidence
intervals or use the data analysis tool to run a two-sample test with
unequal variances, as shown in the topic of testing two samples.
Steps
Write the null hypotheses being tested.
Run the analysis either by using data analysis and the two-sample test or by comparing the two confidence intervals.
Interpret your data to determine if the resting male heart rate is
the same as the resting female heart rate. Remember, you are looking for
whether the difference is a significant one, not just whether they are
not the same.

Compute the mean and median for the following three sets of scores. Also, identify the number that represents the mode. Usually, you would only find a mode for categorical variables and provide the name of the category, but I do want to see that you know how to find a mode, so provide me with the number that represents the mode

please follow all instructions
I am uploading assignment 1 so you can have some guide
use JASP software.
I uploaded sources to use.
THIS IS ASSIGNMENT 3