Overview
The .ipynb file should be submitted as searchable PDF and not as a picture. Read the instructions carefully. Please download your assignment here.use the link the work on the assignment in colab and follow the instruction.
it will ask many times for my name and student id in the assignment so here you go:
name: abdulrahman al ali
student id: 202120169
use the attached guidance
session 16 readings:
- 1. Why It Matters: Relationships in Categorical Data with Intro to Probability
- Short reading: Lumen Learning. (n. d.).
This resource explains why we need to understand the relationships within categorical data.
- 2. Two-Way Tables
-** 2.1. Two-Way Tables | Analyze the Distribution of a Categorical Variable and the Relationship Between Two Categorical Variables**
When you complete this reading, you should be able to analyze the distribution of a categorical variable and the relationship between two categorical variables using a two-way table. As you read, complete all the exercises along the way.
- 2.2. Calculate and interpret Marginal, Joint, and Conditional Probabilities
-** I. Calculate and interpret Marginal and Conditional Probabilities**
When you complete this reading, you should be able to Calculate marginal, joint, and conditional percentages and interpret them as probability estimates. As you read, complete all the exercises along the way.
- II. Calculate and interpret Joint Probabilities
- Short reading: Lumen Learning. (n. d.).
When you complete this reading, you should be able to Calculate marginal, joint, and conditional percentages and interpret them as probability estimates. As you read, complete all the exercises along the way.
- Short video (Optional): Milanese Math. (2015). Joint, marginal, and conditional relative frequency | Milanese math tutorials. YouTube.
- 2.3. Analyze and compare risks using conditional probabilities
- (Short reading) Lumen Learning. (n. d.).
When you complete this reading, you should be able to analyze and compare risks using conditional probabilities. As you read, complete all the exercises along the way.
- 2.4. Create a hypothetical two-way table to answer more complex probability questions.
- Short reading: Lumen Learning. (n. d.).
When you complete this reading, you should be able to create a hypothetical two-way table to answer more complex probability questions. As you read, complete all the exercises along the way.
- 2.5. Putting it together: Relationships in categorical data with intro to probability
- Short reading: Lumen Learning. (n. d.).
This page summarizes the major concepts covered in Module 5: Relationships in Categorical Data with Intro to Probability.
session 21 readings:
- 1. Probability Rules | Independence and Conditional Probability
- Short reading: Lumen Learning. (n. d.). (Re-visit)
This resource shows how to use conditional probability to identify independent events. As you read, complete all the exercises along the way.
This lesson explains how to find the probability of two independent events.
Independent vs Dependent Events
This interactive visualization provides a visual and physical interpretation of conditional probability.
- 2. Two Way Tables | Create a hypothetical two-way table to answer more complex probability questions.
- Short reading: Lumen Learning. (n.d.). Two-way tables.
This page explains how to create a hypothetical two-way table to answer complex probability questions. You will work on a similar question in class. As you read, complete all the exercises along the way.
This resource explains the Probability Rules with Two Way Tables
- 3. Two Way Tables | Calculating Sensitivity and Specificity Using a 2x2 table.
- Short video: Clinical Information Sciences. (2015). Medical Statistics: Calculating Sensitivity and Specificity using a 2x2 table. YouTube.
follow the instructions and use easy words and i will show you an example of the preclass work
submission Requirements:
- Submit all answers along with their corresponding code as a **searchable PDF **.
- All generated csv and .ipynb files must be submitted in a zip-folder as a secondary source.
- Ensure your zip folder contains four csv files (i.e., the csv files for each of the four questions below; YourName.csv, RelianceRetailVisits_ordered.csv, Scores.csv, Vaccinated.csv).
- You may use Jupyter notebook or Colab as per your convenience.
- You should ONLY use the concepts and techniques covered in the course to generate your answers. Statistical techniques that are NOT covered in the course will NOT be evaluated.