Real Time R studio Programming Worksheet

Description

First question: Provide at least the following in the report for full credit:

(1) Understanding the Data:

- - The structure of the data and a preview of the data.
  - Frequency Distribution. (Frequency Tables & Plots for each variable in the dataset (Barplots/Histograms)). Make sure to capture the skewness and kurtosis. – Provide an interpretation in one paragraph (no more than 300 words) explaining the distribution of the data.
  - Summary Statistics of the Data at least including mean, quartiles, min/max, and standard deviation.

Second question:

Using the mtcars dataset, demonstrate the skills you have learned so far in class and submit a Rmarkdown (word doc) report including the following:

Develop a hypothesis
- What is your hypothesis?
- What columns are IVs
- What columns are DVs
- What columns are ignoble (why)
Check for Errors & Missing Data
Clean the data
- How did you deal with NAs
- How did you deal with outliers
Check Assumptions using Parametric Tests
- Additivity
- Linearity
- Normality
- Homogeneity, Homoscedasticity

Thirds question: Create a bar graph using the attached Iris dataset: iris CSV fie

Compare the Sepal Length of the flower Species. Include the following:

Main Title
X and Y-Axis Labels
Colors by Species
Provide an interpretation in one paragraph (no more than 300 words) explaining the distribution of the data.

Which Species Sepal.Length is greater?

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