New game
Download
Get Academic Plan
Share game
Integrate it into your platform

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.
Download
You have exceeded the maximum number of games you can integrate into Google Classroom with your current Plan.

To integrate as many games as you want in Google Classroom, you need an Academic Plan or a Commercial Plan.

You have exceeded the maximum number of games you can integrate into Microsoft Teams with your current Plan.

To integrate as many games as you want in Microsoft Teams, you need an Academic Plan or a Commercial Plan.

Downloading games is an exclusive feature for users with an Academic Plan or a Commercial Plan.

Get your Academic Plan or your Commercial Plan now and start integrating your games into your LMS, website or blog.

If you wish, you can download a demo game here and test its integration:

Desafío de Percentiles

Yes or No

Played 0

About this activity

Qué tan bien entiendes los percentiles en datos

Created by

Ecuador

Download the paper version to play

Make your own free game from our game creator
Compete against your friends to see who gets the best score in this game

Top Games

%
Anonymous
Anonymous
%
%
%
You have exceeded the maximum number of games you can print with your current Plan.

To print as many games as you want, you need an Academic Plan or a Commercial Plan.

Print your game
Desafío de Percentiles
 

Desafío de PercentilesOnline version

Qué tan bien entiendes los percentiles en datos

by Edison Astai Bustamante
1

El percentil 100 coincide con el valor máximo del conjunto.

2

El percentil 0 no existe.

3

El percentil 25 indica el valor por debajo del cual está el 25% de los datos.

4

El percentil 50 es la mediana del conjunto de datos.

5

Un percentil puede ser mayor que el valor máximo del conjunto.

6

Los percentiles no requieren que los datos estén ordenados.

7

En datos agrupados, sólo se pueden estimar percentiles usando la clase mediana.

8

En datos agrupados, se puede estimar un percentil interpolando dentro de la clase que contiene la cumulación necesaria.

9

Para datos no agrupados, el percentil puede calcularse usando la posición (p/100)(n+1).

10

Para datos no agrupados, el percentil p se obtiene multiplicando p por el tamaño n.

Are you sure you want to leave the page?

If you leave the page, you will lose your game progress.