Statistics task need to do with R

Post ID: 2972341

Overview

Please submit a Rmarkdown (word format) report capturing the following:

Use the attached Iris Dataset: iris_exams.csv

Download iris_exams.csv.

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.
Q2:
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
  - Q3:
  - Create a bar graph using the attached Iris dataset: iris_exams.csv

Download iris_exams.csv(click to download). 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?

Rubric: