Module_3_AyeshabiTigdikar_20230611

docx

School

Northeastern University *

*We aren’t endorsed by this school

Course

6060

Subject

Electrical Engineering

Date

Apr 3, 2024

Type

docx

Pages

Uploaded by ayeshut

Ayeshabi Tigdikar 002796252 Module 3 R Practice The dataset used in this assignment represents registered Battery Electric Vehicles (BEVs) and Plug-in Hybrid Electric Vehicles (PHEVs) through the Washington State Department of Licensing (DOL). The goal of this assignment is to explore and analyze the data using R programming. The analysis includes two bar plots and two one-sample t-tests. The bar plots provide insights into the distribution of electric vehicle types and the frequency of different vehicles in the dataset. These visualizations help in understanding the popularity and representation of BEVs and PHEVs as well as identifying the most common vehicle makes among the registered electric vehicles. Practice: 1) File Size and File Structure 2) Descriptive Statistics

Ayeshabi Tigdikar 002796252 3) Column Names 4) Checking for NA values in the Dataset 5) Correcting the Inconsistencies 6) Barplot

Ayeshabi Tigdikar 002796252 By examining this bar plot, you can easily compare the frequencies of different electric vehicle types. The height of each bar represents the frequency of that specific electric vehicle type. The longer the bar, the higher the frequency. This allows for a quick visual understanding of which electric vehicle types are more prevalent in the dataset. 7) Barplot The generated bar plot provides visual insights into the frequency distribution of different car makes in the dataset. This dataset shows the 10 highest number of cars in the dataset out of a total

Your preview ends here

Eager to read complete document? Join bartleby learn and gain access to the full version

Access to all documents
Unlimited textbook solutions
24/7 expert homework help

Ayeshabi Tigdikar 002796252 of 36 models. Each bar represents a specific car make, and its height corresponds to the frequency or count of that particular make. 8) One sample T test The one-sample t-test was conducted to examine if the mean frequency of electric vehicles differs significantly from a hypothesized value of 11000. The test results indicated a t-value of 0.15537 with a p-value of 0.88. Since the p-value is greater than the typical significance level of 0.05, there is insufficient evidence to reject the null hypothesis. Thus, we cannot conclude that the true mean frequency of electric vehicles is different from 11000 based on the available data. The 95% confidence interval (-874.303, 24625.703) suggests that the true population mean could plausibly fall within this range. In summary, the results indicate no significant deviation between the mean frequency of electric vehicles and the hypothesized value of 11000, supporting the null hypothesis.