MATH 533 Course Project Altogether Part A, Part B, Part C: Man and Women Givers and Receivers

MATH 533 Week 2 Course Project Part A: Exploratory Data Analysis

MATH-533 Week 6 Course Project Part B: Hypothesis Testing

MATH 533 Week 7 Course Project Part C: Regression and Correlation Analysis

Introduction:

This project contains data relevant to a study for man and women Givers and receivers, and their level of appreciation, for which stipulates the 1 being the greatest level, and 7 the Lowes level, to find the level of appreciation we need to add Appreciation + great fullness and divide it by two or fined the average.
We have given a data set for which we have to annualize different values to for which I have selected as follow:

1. – Male and female givers
2. – … and female receivers
3. – male givers
4. – … receivers
5. – Female gives
6. – Female receivers
7. – Level of appreciation.
   

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It’s very interesting to discover how the magic of statistics can provide, manipulate, and sculpt data, to persuade the audience to acknowledge some important values at the time of formulating a hypnosis, and different points of view as a contrast between data collected, and our creativity to present values that can be tailored for statistics purpose and the perception from audience, in this case; male and female levels of appreciation.

Besides this was a fun project, also was very educative and challenging. Due to different points of view at the type of analyzing the variables. First, we have collected a data of 237 participants, where 148 where Females, and 89 males.

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We also have divided them between gives, and receivers, and level of appreciation, the point here is t find what are most likely the patterns, the continuity, and the tendency for male or female to give or receive, and how appreciative and grateful are they toward the present versus the price of the gift.

• – Average =124.590717
• – Median = 93
• – Stdev p = 114.643297

We have used standard deviation for populations since there is not set number for sample… where the sample is based in what population, so we have generalized as population.