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New Age Research Foundation (NARF), Database Management
A leading multi-billionaire has recently launched a non-profit New Age Research Foundation (NARF) with an initial outlay of $150 billion to promote basic and applied research to tackle challenging problems facing society locally and globally. NARF is expected to generate funding capital by engaging other philanthropic multibillionaires.
ANALYZING LIZARD METRICS
This data set is an XLSX (Microsoft Excel file) which contains three variables one about one categorical variable: The sex of the lizard, and another two about the numerical length of the lizard and heart rate of the lizard. The length of the Lizard is described as centimeters. This data set was designed in June 2022. This data set consists of a total of 120 observations.
Body metrics are an important aspect when we talk about the blood supply of any living creature, therefore in this data set, we will analyze the length and the heart rate since the heart rate and cardiac output of a lizard are directly proportional to the length of the lizard, Meiri, S. (2010).
One-sample Confidence Intervals.
In the 21st century, Jobs have been one of the most important aspects for every individual to survive and strive, some jobs are designed in a way it is comfortable for people to work. Since in the USA people need money to provide for the government has created a system called hourly wages where people work whenever they are comfortable and have flexible hours, especially for students.
This data set is a representation of the rate at which hourly wages are set and defined for each employee in a total of 20 stores. This project will focus on using R studio to define some statistics, analyze the statistics, interpret the statistics and give meaningful observations using the data we have gathered.
Discrete probability and normal distributions.
In today's century car is one of the number one media of transport, cars sales have increased from the date it was first ever manufactured. According to Statistica most of the automobile industry produces cars that are used commercially or privately. According to Statistica most of the manufacturing related to the automobile field takes place in China, about 122.7 million cars were sold in 2021 decreasing the growth rate by 1.4 percent, making Toyota the largest selling brand with 10.5 million sales overtime mostly focused on commercial and passenger sector, Leading more in light vehicle production with a net total profit of about 28 trillion Japanese Yen in 2021. According to Statistica the world's best and largest automotive parts supplier is Bosch which has sales of up to 32.6 billion United States Dollars when talking about India selling brand in automobiles is Maruti Suzuki.
CORRELATION AND REGRESSION
I will be using an open-source data set which is built in named as MPG is a part of ggplot2 a package in R. This data set consist of 11 columns and 234 observations. This data set consist of all the data about the configuration of the car, such as manufacturer, model, displacement, year, cylinder, transmission, average in the city, average on highway, and class of vehicle. The data set consists of 6 categorical and 4 numerical variables. The data which we will be using in our project are two sets, one is Cylinders which is a Multi valued discrete data and the other is displacement which is continuous data. In the second part of multiple regression, we will use three types of data such as age, weight, and systolic bp which are all continuous types of data. The data set consists of all the top cars with 4,5,6,8 cylinders.