To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: Obs 1 Two-way table can be constructed in three different cases. 2 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees of a Tech company in Kabul. Education Salary HS 10 BA 20 30 26 36 3 A 4 5 5 6 7 8 9 Gender M M F F E F M M M M X1,x2,...,x Y₁Y2...... Y 10 M MA Bivariate Analysis: Two way Table Two way Table: 3: Working hrs and Salary. . MA PHD MA BA BA PowerPont Side Show-vaatp HS BA 50 50 36 25 25 23 15 26 Working His 8 9 9 10 9 8 8 7 6 7 Whr<7 17.81 Whr>8 Total Sal<20 2 0 0 2 [20-30) 0 4 0 4 Sal> 30 Total 0 2 0 4 4 4 4 10 Fr(Whr <7, Sal>=30)= 4 MULTIPLE CHOICE QUESTION 0 Rewatch Submit
To that end let X and Y to be two variables and suppose we have collected data on both of them from an underlying population: Obs 1 Two-way table can be constructed in three different cases. 2 EX: We have collected data on Salary, Education, Gender, and Working Hours from all 10 employees of a Tech company in Kabul. Education Salary HS 10 BA 20 30 26 36 3 A 4 5 5 6 7 8 9 Gender M M F F E F M M M M X1,x2,...,x Y₁Y2...... Y 10 M MA Bivariate Analysis: Two way Table Two way Table: 3: Working hrs and Salary. . MA PHD MA BA BA PowerPont Side Show-vaatp HS BA 50 50 36 25 25 23 15 26 Working His 8 9 9 10 9 8 8 7 6 7 Whr<7 17.81 Whr>8 Total Sal<20 2 0 0 2 [20-30) 0 4 0 4 Sal> 30 Total 0 2 0 4 4 4 4 10 Fr(Whr <7, Sal>=30)= 4 MULTIPLE CHOICE QUESTION 0 Rewatch Submit
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![**Bivariate Analysis: Two-Way Table**
In bivariate analysis, we examine the relationship between two variables. Here, we have collected data on two variables: salary and working hours from an underlying population.
### Two-Way Table Example:
We have data on salary, education, gender, and working hours from 10 employees of a tech company in Kabul.
#### Employee Data:
| Obs | Gender | Education | Salary | Working Hrs |
|-----|--------|-----------|--------|-------------|
| 1 | M | HS | 20 | 6 |
| 2 | M | HS | 30 | 7 |
| 3 | M | BA | 26 | 7 |
| 4 | F | MPH | 24 | 7 |
| 5 | F | PHD | 35 | 8 |
| 6 | M | MA | 36 | 7 |
| 7 | M | PHD | 30 | 8 |
| 8 | F | MA | 24 | 7 |
| 9 | F | HS | 30 | 6 |
| 10 | M | BA | 26 | 7 |
### Two-Way Table: Working Hours and Salary
This table displays the frequency distribution of employees based on their working hours and salary ranges.
| | Sal<20 | [20-30) | Sal≥30 | Total |
|---------------|--------|--------|-------|-------|
| Whr<7 | 2 | 0 | 0 | 2 |
| [7,8) | 0 | 4 | 0 | 4 |
| Whr>8 | 0 | 0 | 4 | 4 |
| **Total** | **2** | **4** | **4** | **10**|
### Multiple Choice Question:
**Fr(Whr < 7, Sal ≥ 30) =**
- [ ] 4
- [ ] 0
The frequency is 0, as there are no employees with working hours less than 7 and a salary of](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F14a9d5f1-3c96-4d1b-bbaf-a74d1a4f45a6%2Faec4d9f7-4cc6-44cf-82cd-2f28bfd49d54%2Fgb1xw1_processed.png&w=3840&q=75)
Transcribed Image Text:**Bivariate Analysis: Two-Way Table**
In bivariate analysis, we examine the relationship between two variables. Here, we have collected data on two variables: salary and working hours from an underlying population.
### Two-Way Table Example:
We have data on salary, education, gender, and working hours from 10 employees of a tech company in Kabul.
#### Employee Data:
| Obs | Gender | Education | Salary | Working Hrs |
|-----|--------|-----------|--------|-------------|
| 1 | M | HS | 20 | 6 |
| 2 | M | HS | 30 | 7 |
| 3 | M | BA | 26 | 7 |
| 4 | F | MPH | 24 | 7 |
| 5 | F | PHD | 35 | 8 |
| 6 | M | MA | 36 | 7 |
| 7 | M | PHD | 30 | 8 |
| 8 | F | MA | 24 | 7 |
| 9 | F | HS | 30 | 6 |
| 10 | M | BA | 26 | 7 |
### Two-Way Table: Working Hours and Salary
This table displays the frequency distribution of employees based on their working hours and salary ranges.
| | Sal<20 | [20-30) | Sal≥30 | Total |
|---------------|--------|--------|-------|-------|
| Whr<7 | 2 | 0 | 0 | 2 |
| [7,8) | 0 | 4 | 0 | 4 |
| Whr>8 | 0 | 0 | 4 | 4 |
| **Total** | **2** | **4** | **4** | **10**|
### Multiple Choice Question:
**Fr(Whr < 7, Sal ≥ 30) =**
- [ ] 4
- [ ] 0
The frequency is 0, as there are no employees with working hours less than 7 and a salary of
Expert Solution
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Step 1
Given Bi-variate analysis of two way table.
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Solved in 2 steps
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