medidas numéricas

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muestreo unidad 3

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MEDIDAS DE LA VARIABILIDAD

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MEDIDAS DESCRIPTIVAS

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Esperanza Matemática y Estadísticos de Orden

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medidas numéricas

Medidas de dispersión

Desviacion estandar

Es la raíz cuadrada de la varianza , mede la dispersión de dos o mas conjunto de observaciones

Coeficiente de variacion

Su calculo se obtiene de dividir la desviación típica entre el valor absoluto de la media del conjuntos y por lo general se expresa en porcentaje para su mejor comprensión.

Varianza

Es una medida de dispercion que representa la variabilidad de una serie de datos respecto a su media.

Rango

Es un valor numerico que indica la diferencia entre el valor maximo y el minimo de una poblacion o muestra estadistica.

Try answering these questions in order for you to come up with a closure:
- Have all problems been solved?
- Is it clear what happens with all your characters in the story?
- Has the challenged transformed your main character?
- How do the characters feel in the end?

Medidas de variación

The ending of a story is essential. We all know that if the ending is weak, what happened before loses its importance. So make it unpredictable, but fair. A resolved ending answers all the questions and ties up any loose threads from the plot.

Rango medio

This is the closure section of the story.
See examples of possible outcomes below:

• all problems have been solved
• it's clear how each one of your characters ends up
• your main character is transformed by the challenge

Es el promedio del valor mayor y el valor menor

Try answering these questions to come up with a closure:
- Have all the problems been solved?
- Is there a clear picture of what happens with each character in the story?
- Has the challenge transformed your main character?
- How do the characters feel in the end?

Amplitud

This is the moment when the main character surpasses the last obstacle and finally faces their greatest challenge.
The climax usually follows one of these patterns:

• realization
• resolution
• choice

Type in your answer.

How does your main character finally solve the problem?

Diferencia entre los valores mayor y menor de un conjunto de datos obtenidos en una mediación.

medidas de posicion

The middle of the story is where you add layers of complications that will lead to the end. Reveal more about the character's journey. Did their personality go through changes? How did they overcome the challenges? And as you build up the story’s central conflict, make it more personal to that character. Also, from the middle act, you have to lead into the final act.

COEFICIENTE DE ASIMETRIA

Indica si hay el mismo numero de elementos a izquierda y a la derecha de la media

Desviacion cuartilica

Es una medida que devuelve el valor central del rango intercuartílico y se utiliza en conjunto de datos sesgados

Amplitud cuartilica

Es la distancia entre dos percentiles establecidos. La APLITUD CUARTILICA 10 Y 90 ES LA DISTANCIA ENTRE EL 10 ° y 90° percentiles.

Percentiles

There wouldn't be any tension and excitement in your story if there weren't any obstacles in your character's way.

Los percentiles son los 99 valores que divides la serie de datos en 100 partes iguales .los percentiles dan valores correspondientes al 1%, 2% y al 99% d elos datos.

A story is nothing more than a character overcoming a series of difficulties to reach the desired goal. Obstacles usually create suspense and conflict. In overcoming obstacles, there is growth: weak becomes strong; hatred turns into love; sadness into happiness; wrong into right; lies into truth; or evil becomes good.

See a few examples below:

• stopping a meteor
• finding a killer
• finding love

Deciles

Your character(s) need(s) motivation in order to solve the challenge(s).

los deciles osn nueve valores que dividen la serie de datos en 10 partes iguales , Los deciles dan los valores correspondientes al 10% , 20% y al 90%

Secondary characters might also have motives that lead them to cross paths with the main character or which might trigger them to help the main character.

cuartiles

Each story has a main character and that character usually needs to solve a problem or challenge. The character's challenge is the one that creates tension throughout the story.

son los tres valores de la variable que dividen a un conjunto de datos en cutro partes iguales Q1,Q2,Q3. determinan los valores correspondientes al 25%, 50% y al 75% de los datos.

In most stories, there are 3 challenges. The number 3 is a mystical number symbolizing completeness. Try to come up with interesting challenges with which your character needs to struggle.
See a few examples below:

• turns into a werewolf at night
• is sent back in time

Medidas de tendencia central

In the beginning of the story (or the exposition), you will need to introduce the setting and characters. You might also want to introduce the main conflict. This part of the story is important because it gives the reader necessary background information and maybe even a first insight into a character’s personality.

Coeficiente de asimetria

Mide el grado de asimetría de la distribución con respecto a la media un valor positivo de este indicador significa que la distribución se encuentra sesgada hacia la izquierda , un resultado negativo significa que la distribución se sesga a la derecha

Media

Se refiere a una media en la muestra o en la población.

Mediana

The setting (time & place) of a story can change throughout the plot.

Es el punto central de una distribuucion de datos , En datos no agrupados , la mediana se puede calcular por simple observacion

Sensory details include sight, sound, touch, smell, and taste. These details are important because they create depth in your setting.
See a few examples below:

• the smell of fresh bread
• the scent of freshly cut grass
• rain falling onto the windshield etc.

Moda

Characters are essential to a good story. Usually, the protagonist(s) is/are the most affected by the plot. Introduce a character by focusing on their actions, interests, and occupation, as the physical appearance doesn't make a difference in most cases.

Es una distribucion de datos,es el dato que mas se repite .si los datos no estan agrupados la moda se calcula por simple observacion

Type in the name of your character.