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The four basic rules of probability are necessary as the number of variables grow, it becomes difficult to calculate. The basic probability rule is that a probability always occurs between a 0 and 1. The four rules of probability are described below.
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Using Polit2SetB data set, create a correlation matrix using the following variables: Number of visits to the doctor in the past 12 months (docvisit), body mass index (bmi), Physical Health component subscale (sf12phys), and Mental Health component subscale (sf12ment). Run means and descriptives for each variable, as well as the correlation matrix.
Is there a difference in the overall satisfaction of women based on the number of housing problems (no problems, 1 problem, 2 or more problems)? Using Polit2SetA data set, run an ANOVA using Overall Satisfaction, Material Well- Being (satovrl) as the dependent variable and Housing Problems (hprobgrp) (this is the last variable in the data set) as the independent variable.
Write a set of hypotheses (null and alternative hypotheses) to answer the question.Show a sampling distribution of the years in college for KU students using R.Submit your R commands, as well.What is the probability of a KU student taking longer than 5.8 year to graduate?
The general idea is to perform an analysis of some data that you find interesting using the statistical tools and critical insights that you have developed in the course.1Identify a topic you find interesting about which you have a question that could be resolved with appropriate data and analysis.
Read the paper “ESP paper rekindles discussion about statistics” and write a one-paragraph summary. Load the ozone data from the course webpage into R.Your responses to these questions should be no more than 2 pages. You should also turn in a separate file with carefully commented code.
Analyze and understand the dataset of different collection of cars and explore the relationship between different variable from a set of eleven variables.Estimation and comparison between the overall regression model and Stepwise Selection procedure. Check all the underlying assumptions for the best fit model and Exploratory data analysis for each of the variable