---
product_id: 47015046
title: "LearnSmart for Essential Statistics"
brand: "learnsmart"
price: "$1668"
currency: MXN
in_stock: true
category: "Digital"
url: https://www.desertcart.mx/products/47015046-learnsmart-for-essential-statistics
store_origin: MX
region: Mexico
---

# LearnSmart for Essential Statistics

**Brand:** learnsmart
**Price:** $1668
**Availability:** ✅ In Stock

## Quick Answers

- **What is this?** LearnSmart for Essential Statistics by learnsmart
- **How much does it cost?** $1668 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.mx](https://www.desertcart.mx/products/47015046-learnsmart-for-essential-statistics)

## Best For

- learnsmart enthusiasts

## Why This Product

- Trusted learnsmart brand quality
- Free international shipping included
- Worldwide delivery with tracking
- 15-day hassle-free returns

## Description

Navidi/Monk, Essential Statistics was developed around three central themes – Clarity, Quality, and Accuracy. These central themes were born out of extensive market research and feedback from statistics instructors across the country. The authors paid close attention to how material is presented to students, ensuring that the content in the text is very clear, concise, and digestible. High quality exercises, examples and integration of technology are important aspects of an Introductory Statistics text. The authors have provided robust exercise sets that range in difficulty. They have also focused keen attention to ensure that examples provide clear instruction to students. Technology is integrated throughout the text, providing students examples of how to use the TI-83 Plus and TI-84 Plus Graphing Calculators, Microsoft Excel and Minitab. The accuracy of Elementary Statistics was a foundational principle always on the minds of the authors. While this certainly pertains to all aspects of the text, the authors also exhausted energy in ensuring the supplements have been developed to fit cohesively with the text. What is LearnSmart? LearnSmart is a digital adaptive learning platform that guides you through your course efficiently by prioritizing the important material. As you read your book, it helps you understand the topics you know, and then shows you what you still need to learn. It’ll ask you some questions to help you identify gaps, and prompt you to re-learn them.   Why LearnSmart? Students who use LearnSmart are 35% more likely to complete their class.  13% more likely to pass their class.  and have been proven to improve their performance by a full letter grade. How does Learnsmart work? LearnSmart uses revolutionary adaptive technology to build a learning experience unique to each student’s individual needs. It starts by identifying the topics a student knows and does not know. As the student progresses, LearnSmart adapts and adjusts the content based on his or her individual strengths, weaknesses and confidence, ensuring that every minute spent studying with LearnSmart is the most efficient and productive study time possible. LearnSmart also takes into account that everyone will forget a certain amount of material. LearnSmart pinpoints areas that a student is most likely to forget and encourages periodic review to ensure that the knowledge is truly learned and retained. In this way, LearnSmart goes beyond simply getting students to memorize material – it helps them truly retain the material in their long term memory.

## Features

- A study tool companion to your textbook or eBook
- Makes your study time more efficient by focusing on the topics you where need the most help
- Proven to help students earn a better grade in their courses

## Images

![LearnSmart for Essential Statistics - Image 1](https://images-na.ssl-images-amazon.com/images/I/41xmZmcC6HL.jpg)

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**Shop now:** [https://www.desertcart.mx/products/47015046-learnsmart-for-essential-statistics](https://www.desertcart.mx/products/47015046-learnsmart-for-essential-statistics)

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*Product available on Desertcart Mexico*
*Store origin: MX*
*Last updated: 2026-02-21*