Math / Data & Statistics

Question1. Clasifica las siguientes variables en: cuantitativa (continua, discreto) o cualitativa (nominal, ordinal)
2. Realizamos un estudio para conocer el número de televisores que hay en cada vivienda en una determinada zona de la ciudad y obtenemos los siguientes datos: $\begin{array}{l} 1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,4 \\ 4,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 \end{array}$
Construye el diagrama de barras, histograma y circular

Studdy Solution

STEP 1

What is this asking? We're figuring out what type of data we're dealing with and then making some cool charts with it! Watch out! Don't mix up the types of data!
Quantitative means numbers, and qualitative means categories.

STEP 2

1. Classify the variables
2. Analyze the data
3. Create the bar chart
4. Create the histogram
5. Create the pie chart

STEP 3

Alright, let's break it down!
We need to classify the variables into types.
Quantitative variables are all about numbers, and they can be continuous (like height or weight) or discrete (like the number of TVs in a house).
Qualitative variables are about categories, and they can be nominal (like colors) or ordinal (like rankings).

STEP 4

In this problem, we're looking at the number of TVs in each house.
Since we're counting whole numbers, this is a quantitative discrete variable.
Boom! That's one classification down!

STEP 5

Let's take a closer look at the data we've got: \[ 1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,4,4,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 $

STEP 6

Notice how these numbers represent the count of TVs in different homes.
We need to find out how often each number appears.
This is called the frequency of each number.

STEP 7

To make a bar chart, we need to plot the frequency of each number of TVs.
Each bar will represent how many homes have that specific number of TVs.

STEP 8

Count the occurrences of each number from $0$ to $4$ .
For example, how many homes have $0$ TVs, $1$ TV, and so on.

STEP 9

A histogram is similar to a bar chart but is used for continuous data.
However, since our data is discrete, we'll use it to show the same frequency distribution.

STEP 10

Plot the same data as the bar chart, but make sure the bars touch each other to represent the continuous nature of the number line.

STEP 11

For a pie chart, we need to show the proportion of each number of TVs relative to the total.

STEP 12

Calculate the percentage of each frequency by dividing the frequency of each number by the total number of data points and then multiply by $100$ .

STEP 13

The bar chart, histogram, and pie chart are created based on the frequency of the number of TVs in each home.
Each chart visually represents how many homes have $0$ , $1$ , $2$ , $3$ , or $4$ TVs.

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Studdy Solution

STEP 1

What is this asking? We're figuring out what type of data we're dealing with and then making some cool charts with it! Watch out! Don't mix up the types of data!
Quantitative means numbers, and qualitative means categories.

STEP 2

1. Classify the variables
2. Analyze the data
3. Create the bar chart
4. Create the histogram
5. Create the pie chart

STEP 3

STEP 4

In this problem, we're looking at the number of TVs in each house.
Since we're counting whole numbers, this is a quantitative discrete variable.
Boom! That's one classification down!

STEP 5

Let's take a closer look at the data we've got: \[ 1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,4,4,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 $

STEP 6

Notice how these numbers represent the count of TVs in different homes.
We need to find out how often each number appears.
This is called the frequency of each number.

STEP 7

To make a bar chart, we need to plot the frequency of each number of TVs.
Each bar will represent how many homes have that specific number of TVs.

STEP 8

Count the occurrences of each number from $0$ to $4$ .
For example, how many homes have $0$ TVs, $1$ TV, and so on.

STEP 9

A histogram is similar to a bar chart but is used for continuous data.
However, since our data is discrete, we'll use it to show the same frequency distribution.

STEP 10

Plot the same data as the bar chart, but make sure the bars touch each other to represent the continuous nature of the number line.

STEP 11

For a pie chart, we need to show the proportion of each number of TVs relative to the total.

STEP 12

Calculate the percentage of each frequency by dividing the frequency of each number by the total number of data points and then multiply by $100$ .

STEP 13

The bar chart, histogram, and pie chart are created based on the frequency of the number of TVs in each home.
Each chart visually represents how many homes have $0$ , $1$ , $2$ , $3$ , or $4$ TVs.

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Studdy Solution

STEP 1

What is this asking? We're figuring out what type of data we're dealing with and then making some cool charts with it! Watch out! Don't mix up the types of data!Quantitative means numbers, and qualitative means categories.

STEP 2

1. Classify the variables2. Analyze the data3. Create the bar chart4. Create the histogram5. Create the pie chart

STEP 3

STEP 4

In this problem, we're looking at the **number of TVs** in each house.Since we're counting whole numbers, this is a **quantitative discrete** variable.Boom! That's one classification down!

STEP 5

Let's take a closer look at the data we've got: \[ 1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,4,4,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 $

STEP 6

Notice how these numbers represent the **count** of TVs in different homes.We need to find out how often each number appears.This is called the **frequency** of each number.

STEP 7

To make a bar chart, we need to plot the frequency of each number of TVs.Each bar will represent how many homes have that specific number of TVs.

STEP 8

Count the occurrences of each number from 000 to 444.For example, how many homes have 000 TVs, 111 TV, and so on.

STEP 9

A histogram is similar to a bar chart but is used for continuous data.However, since our data is discrete, we'll use it to show the same frequency distribution.

STEP 10

Plot the same data as the bar chart, but make sure the bars touch each other to represent the continuous nature of the number line.

STEP 11

For a pie chart, we need to show the proportion of each number of TVs relative to the total.

STEP 12

Calculate the percentage of each frequency by dividing the frequency of each number by the total number of data points and then multiply by 100100100.

STEP 13

The **bar chart**, **histogram**, and **pie chart** are created based on the frequency of the number of TVs in each home.Each chart visually represents how many homes have 000, 111, 222, 333, or 444 TVs.

Get Studdy

Studdy solves anything!

Start learning now

Download Studdy AI Tutor now. Learn with ease and get all help you need to be successful at school.

What is this asking? We're figuring out what type of data we're dealing with and then making some cool charts with it! Watch out! Don't mix up the types of data!
Quantitative means numbers, and qualitative means categories.

1. Classify the variables
2. Analyze the data
3. Create the bar chart
4. Create the histogram
5. Create the pie chart

In this problem, we're looking at the number of TVs in each house.
Since we're counting whole numbers, this is a quantitative discrete variable.
Boom! That's one classification down!

Notice how these numbers represent the count of TVs in different homes.
We need to find out how often each number appears.
This is called the frequency of each number.

To make a bar chart, we need to plot the frequency of each number of TVs.
Each bar will represent how many homes have that specific number of TVs.

Count the occurrences of each number from $0$ to $4$ .
For example, how many homes have $0$ TVs, $1$ TV, and so on.

A histogram is similar to a bar chart but is used for continuous data.
However, since our data is discrete, we'll use it to show the same frequency distribution.

Calculate the percentage of each frequency by dividing the frequency of each number by the total number of data points and then multiply by $100$ .

The bar chart, histogram, and pie chart are created based on the frequency of the number of TVs in each home.
Each chart visually represents how many homes have $0$ , $1$ , $2$ , $3$ , or $4$ TVs.