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R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot

R programming for beginners – statistic with R (t-test and linear regression) and dplyr and ggplot

Assessment

Interactive Video

Health Sciences, Biology

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

This video tutorial covers statistical analysis using R, including T tests, linear regression, and data visualization with GGPLOT2. It introduces R as a programming language, explains data manipulation with DPLYR, and demonstrates statistical testing and regression analysis. The tutorial emphasizes the ease of using R for quantitative analysis and provides practical examples using the gap minder dataset.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of using the DPLYR package in R?

To write R scripts

To perform data visualization

To conduct statistical tests

To manipulate and transform data

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key feature of R?

It is free and open-source

It is only available on Windows

It is primarily used for web development

It is a paid software

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a feature of R Studio?

Console for outputs

Environment for objects

Built-in web browser

Code editor

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the 'attach' function in R?

To install packages

To simplify variable referencing

To perform statistical analysis

To visualize data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the 'summary' function in R?

To provide a statistical summary of data

To visualize data

To perform data manipulation

To install packages

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the pipe operator in DPLYR allow you to do?

Perform statistical tests

Combine multiple datasets

Chain together multiple operations

Visualize data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In hypothesis testing, what does a very small p-value indicate?

The test is inconclusive

The sample size is too small

The null hypothesis can be rejected

The null hypothesis is likely true

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