1. Create a data list, ‘n’ consisting of the numbers: 5, 9, 14, 28, 31, 1, 31, 14, 38, 31Use R – code to find the following:a. Find the mean using a different method that does not involve the mean () function.b. Find the median.c. Create a frequency table of the data list and then give the mode.d. Create a bar graph of the data list. Note: you have to do the manual method **Campus Crime Data Overview**This dataset presents information related to campus crime statistics across various educational institutions. The table includes four main columns:1. **Number of Crimes:** This column lists the number of reported crimes on each campus. 2. **Number of Police:** This indicates the number of police officers employed by the respective institutions.3. **Total Enrollment:** This column shows the total number of enrolled students at each institution.4. **Private School:** This is a binary indicator, where '1' signifies a private school and '0' indicates a public school.Here is the transcribed data:| Number of Crimes | Number of Police | Total Enrollment | Private School ||------------------|-----------------|-----------------|----------------|| 64 | 12 | 1,131 | 1 || 138 | 21 | 12,954 | 0 || 141 | 32 | 16,009 | 0 || 84 | 22 | 1,682 | 1 || 86 | 35 | 2,888 | 1 || 141 | 45 | 17,407 | 0 || 135 | 42 | 3,028 | 1 || 174 | 50 | 4,306 | 1 || 201 | 75 | 34,511 | 0 || 203 | 84 | 37,240 | 0 || 125 | 36 | 2,918 | 1 || 234 | 109 | 39,414 | 0 || 143 | 45 | 4,000 | 1 || 148 | 50 | 20,950 | 0 || 152 | 48 | 4,277 | 1 || 158 | 52 | 26,519 | 0 || 174 | 69 | 27,687 | 0 || 84 | 26 | 2,810 | 1 || 173 | 58 | 27 **Student Sample Dataset Codebook**This codebook provides a detailed description of the variables included in the student sample dataset. Each variable is explained with its data type, measurement scale, and any specific value labels used for categorical data.- **ids** - Description: ID number - Type: Numeric - Measure: Nominal- **bday** - Description: Date of birth (mm/dd/yyyy) - Type: Date - Measure: Scale- **enrolldate** - Description: Date of college enrollment (mm/dd/yyyy) - Type: String - Measure: Scale- **expgradate** - Description: Expected date of college graduation (mm/dd/yyyy) - Type: String - Measure: Scale- **Rank** - Description: Class rank - Type: Numeric - Measure: Ordinal - Value Labels: 1=Freshman, 2=Sophomore, 3=Junior, 4=Senior- **Major** - Description: Major - Type: String - Measure: Nominal- **Gender** - Description: Gender - Type: Numeric - Measure: Nominal - Value Labels: 0=Male, 1=Female- **Athlete** - Description: Is student an athlete? - Type: Numeric - Measure: Nominal - Value Labels: 0=Non-athlete, 1=Athlete- **Height** - Description: Height (inches) - Type: Numeric - Measure: Scale- **Weight** - Description: Weight (pounds) - Type: Numeric - Measure: Scale- **Smoking** - Description: Does student smoke? - Type: Numeric - Measure: Nominal - Value Labels: 0=Nonsmoker, 1=Past smoker, 2=Current smoker- **Sprint** - Description: 35-meter sprint time (seconds) - Type: Numeric - Measure: Scale- **MileMinDur** - Description: Mile run time (hh:mm:ss) - Type: Datetime - Measure: Scale- **English** - Description: Score on English placement test (out of 100 points)

Answered: a. Find the mean using a different…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

1. Create a data list, ‘n’ consisting of the numbers: 5, 9, 14, 28, 31, 1, 31, 14, 38, 31

Use R – code to find the following:
a. Find the mean using a different method that does not involve the mean () function.

b. Find the median.

c. Create a frequency table of the data list and then give the mode.

d. Create a bar graph of the data list.

Note: you have to do the manual method

**Campus Crime Data Overview**

This dataset presents information related to campus crime statistics across various educational institutions. The table includes four main columns:

1. **Number of Crimes:** This column lists the number of reported crimes on each campus.

2. **Number of Police:** This indicates the number of police officers employed by the respective institutions.

3. **Total Enrollment:** This column shows the total number of enrolled students at each institution.

4. **Private School:** This is a binary indicator, where '1' signifies a private school and '0' indicates a public school.

Here is the transcribed data:

| Number of Crimes | Number of Police | Total Enrollment | Private School |
|------------------|-----------------|-----------------|----------------|
| 64 | 12 | 1,131 | 1 |
| 138 | 21 | 12,954 | 0 |
| 141 | 32 | 16,009 | 0 |
| 84 | 22 | 1,682 | 1 |
| 86 | 35 | 2,888 | 1 |
| 141 | 45 | 17,407 | 0 |
| 135 | 42 | 3,028 | 1 |
| 174 | 50 | 4,306 | 1 |
| 201 | 75 | 34,511 | 0 |
| 203 | 84 | 37,240 | 0 |
| 125 | 36 | 2,918 | 1 |
| 234 | 109 | 39,414 | 0 |
| 143 | 45 | 4,000 | 1 |
| 148 | 50 | 20,950 | 0 |
| 152 | 48 | 4,277 | 1 |
| 158 | 52 | 26,519 | 0 |
| 174 | 69 | 27,687 | 0 |
| 84 | 26 | 2,810 | 1 |
| 173 | 58 | 27

**Student Sample Dataset Codebook**

This codebook provides a detailed description of the variables included in the student sample dataset. Each variable is explained with its data type, measurement scale, and any specific value labels used for categorical data.

- **ids**
- Description: ID number
- Type: Numeric
- Measure: Nominal

- **bday**
- Description: Date of birth (mm/dd/yyyy)
- Type: Date
- Measure: Scale

- **enrolldate**
- Description: Date of college enrollment (mm/dd/yyyy)
- Type: String
- Measure: Scale

- **expgradate**
- Description: Expected date of college graduation (mm/dd/yyyy)
- Type: String
- Measure: Scale

- **Rank**
- Description: Class rank
- Type: Numeric
- Measure: Ordinal
- Value Labels: 1=Freshman, 2=Sophomore, 3=Junior, 4=Senior

- **Major**
- Description: Major
- Type: String
- Measure: Nominal

- **Gender**
- Description: Gender
- Type: Numeric
- Measure: Nominal
- Value Labels: 0=Male, 1=Female

- **Athlete**
- Description: Is student an athlete?
- Type: Numeric
- Measure: Nominal
- Value Labels: 0=Non-athlete, 1=Athlete

- **Height**
- Description: Height (inches)
- Type: Numeric
- Measure: Scale

- **Weight**
- Description: Weight (pounds)
- Type: Numeric
- Measure: Scale

- **Smoking**
- Description: Does student smoke?
- Type: Numeric
- Measure: Nominal
- Value Labels: 0=Nonsmoker, 1=Past smoker, 2=Current smoker

- **Sprint**
- Description: 35-meter sprint time (seconds)
- Type: Numeric
- Measure: Scale

- **MileMinDur**
- Description: Mile run time (hh:mm:ss)
- Type: Datetime
- Measure: Scale

- **English**
- Description: Score on English placement test (out of 100 points)

Definition Definition Middle value of a data set. The median divides a data set into two halves, and it also called the 50th percentile. The median is much less affected by outliers and skewed data than the mean. If the number of elements in a dataset is odd, then the middlemost element of the data arranged in ascending or descending order is the median. If the number of elements in the dataset is even, the average of the two central elements of the arranged data is the median of the set. For example, if a dataset has five items—12, 13, 21, 27, 31—the median is the third item in ascending order, or 21. If a dataset has six items—12, 13, 21, 27, 31, 33—the median is the average of the third (21) and fourth (27) items. It is calculated as follows: (21 + 27) / 2 = 24.

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