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Campamento de verano: Preparación para la estadística AP

Completado por 3 alumnos

Edades 14-18

Curso grupal en vivo

Este curso cubre una revisión integral de las estadísticas AP con 9 exámenes de práctica + práctica en línea con Barron,s Test Prep.

AI Code Academy

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4.7

Número de reseñas:

(1,770 opiniones)

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Videoconferencias en vivo

5 x por semana, 2 semanas

3-8 alumnos por clase

60 min

Acerca de Descripción general del aprendizaje Maestro Reseñas

Qué está incluido

10 reuniones en vivo

10 horas presenciales

Proyectos

2-4 horas por semana. Projects are not mandatory but we strongly encourage students to complete them.

Evaluación

incluido

Experiencia de clase

Nivel de inglés: desconocido

Grado de EE. UU. 9 - 12

~Enroll now and get our Early Bird $25 discount. Use coupon CODEAISUMMER25 for $25 off ( Valid until 3/11/25)~

This Advanced course is meticulously crafted to align with all nine units and exam formats outlined in the latest AP Statistics course and exam description. Dive deep into each concept through engaging lessons paired with practice quizzes, ensuring full comprehension. The fifth lesson marks the beginning of exam preparation, where students will take their first AP practice test. As the course culminates in the tenth and final lesson, students will embark on a comprehensive review, culminating in another full practice test. Get ready to ace the exam with confidence!

For a week to week program, check out the syllabus.

Metas de aprendizaje

This AP Statistics course covers all nine units and exam formats, offering engaging lessons and quizzes for thorough understanding.

Beginning with a practice test in the fifth lesson and concluding with a comprehensive review and another full test in the tenth, students are prepared to excel in the exam confidently.

Programa de estudios

10 Lecciones

más de 2 semanas

Lección 1:

One-Variable Data

 a.	Categorical Variables
b.	Quantitative Variables and their Distributions
c.	Summary Statistics
d.	Comparing Quantitative Variable Distributions
e.	Normal Distributions
f.	Practice Problems

60 minutos de lección en vivo en línea

Lección 2:

Exploring Two-Variable Data

 a.	Two Categorical Variables
b.	Two Quantitative Variables
c.	Correlation, Least Squares Regression, and Residuals
d.	Outliers, Influential Points, and Leverage
e.	Transformations to Achieve Linearity
f.	Practice Problems

60 minutos de lección en vivo en línea

Lección 3:

Collecting Data

 a.	Retrospective and Prospective Observational Studies
b.	Bias
c.	Sampling Methods and Variability
d.	Experiments vs Observational Studies
e.	Replication, Inference, and Experiments
f.	Practice Problems

60 minutos de lección en vivo en línea

Lección 4:

Probability, Random Variables, and Probability Distributions

 a.	The Law of Large Numbers
b.	Probability Rules and Calculations
c.	Random Variables, Means, and Standard Deviations
d.	Sums and Differences of Sets and Random Variables
e.	Transformations of Random Variables
f.	Binomial, Geometric, and Cumulative Probability Distributions
g.	Practice Problems

60 minutos de lección en vivo en línea

Otros detalles

Idioma en el que se imparte la clase

Inglés

Recursos externos

Los estudiantes no necesitarán utilizar ninguna aplicación o sitio web más allá de las herramientas estándar de Outschool.

Ofrecido por

AI Code Academy

Se unió el April, 2020

4.7

1770reseñas

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**USE PROMO CODE: CODEAINEWYEAR2025 FOR $25 OFF ANY 10 WEEK COURSE - Valid until Feb 15**
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At AI Code Academy, we specialize in project-based STEM coding, AI, and mathematics programs for young learners. We are one of the few organizations that offer AI and machine learning courses tailored for kids. Our comprehensive curriculum spans from basic computer skills and Scratch coding to more advanced Python, Java, web design, game development, and AI machine learning projects.

Our unique focus is on introducing students to AI early, helping them grasp complex concepts like machine learning, data analysis, and smart devices, while also reinforcing mathematics skills, essential for their success in STEM fields.

With a team of passionate instructors—college students and recent graduates with degrees in Engineering and Computer Science—we provide hands-on, real-world projects that prepare students for future careers in AI, coding, robotics, and mathematics.

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