課程信息
3.9
56 個評分
16 個審閱

第 2 門課程(共 3 門)

100% 在線

立即開始,按照自己的計劃學習。

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中級

High school algebra, successful completion of Course 1 in this specialization or equivalent background

完成時間大約為18 小時

建議:4 weeks of study, 4-6 hours/week...

英語(English)

字幕:英語(English), 韓語

您將學到的內容有

  • Check

    Determine assumptions needed to calculate confidence intervals for their respective population parameters.

  • Check

    Create confidence intervals in Python and interpret the results.

  • Check

    Review how inferential procedures are applied and interpreted step by step when analyzing real data.

  • Check

    Run hypothesis tests in Python and interpret the results.

您將獲得的技能

Confidence IntervalPython ProgrammingStatistical InferenceStatistical Hypothesis Testing

第 2 門課程(共 3 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

High school algebra, successful completion of Course 1 in this specialization or equivalent background

完成時間大約為18 小時

建議:4 weeks of study, 4-6 hours/week...

英語(English)

字幕:英語(English), 韓語

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

WEEK 1 - OVERVIEW & INFERENCE PROCEDURES

In this first week, we’ll review the course syllabus and discover the various concepts and objectives to be mastered in weeks to come. You’ll be introduced to inference methods and some of the research questions we’ll discuss in the course, as well as an overall framework for making decisions using data, considerations for how you make those decisions, and evaluating errors that you may have made. On the Python side, we’ll review some high level concepts from the first course in this series, Python’s statistics landscape, and walk through intermediate level Python concepts. All of the course information on grading, prerequisites, and expectations are on the course syllabus and you can find more information on our Course Resources page....
8 個視頻 (總計 62 分鐘), 5 個閱讀材料, 1 個測驗
8 個視頻
Introduction to Inference Methods: Oh the Things You Will See!3分鐘
Bag A or Bag B?13分鐘
Introduction to Bayesian4分鐘
This or That? Language and Notation13分鐘
The Python Statistics Landscape2分鐘
Intermediate Python Concepts: Lists vs Numpy Arrays10分鐘
Functions and Lambda Functions, Reading Help Files11分鐘
5 個閱讀材料
Course Syllabus5分鐘
Meet the Course Team!10分鐘
Help Us Learn More About You!10分鐘
About Our Datasets2分鐘
This or That Reference10分鐘
1 個練習
Python Basics Assessment15分鐘
2
完成時間為 6 小時

WEEK 2 - CONFIDENCE INTERVALS

In this second week, we will learn about estimating population parameters via confidence intervals. You will be introduced to five different types of population parameters, assumptions needed to calculate a confidence interval for each of these five parameters, and how to calculate confidence intervals. Quizzes and a peer assessment will appear throughout the week to test your understanding. In addition, you’ll learn how to create confidence intervals in Python....
13 個視頻 (總計 121 分鐘), 4 個閱讀材料, 4 個測驗
13 個視頻
Understanding Confidence Intervals10分鐘
Demo: Seeing Theory5分鐘
Assumptions for a Single Population Proportion Confidence Interval3分鐘
Conservative Approach & Sample Size Consideration8分鐘
Estimating a Difference in Population Proportions with Confidence6分鐘
Interpretations & Assumptions for Two Population Proportion Intervals4分鐘
Estimating a Population Mean with Confidence14分鐘
Estimating a Mean Difference for Paired Data10分鐘
Estimating a Difference in Population Means with Confidence (for Independent Groups)14分鐘
Chocolate & Cycling Assignment2分鐘
Introduction to Confidence Intervals in Python12分鐘
Confidence Intervals for Differences between Population Parameters21分鐘
4 個閱讀材料
Confidence Intervals: Other Considerations15分鐘
What Affects the Standard Error of an Estimate?10分鐘
Chocolate & Cycling Assignment Instructions5分鐘
Additional Practice: Confidence Intervals1分鐘
3 個練習
Practice Quiz: All About Confidence Intervals14分鐘
Sample Size & Assumptions
Confidence Intervals Assessment
3
完成時間為 5 小時

WEEK 3 - HYPOTHESIS TESTING

In week three, we’ll learn how to test various hypotheses - using the five different analysis methods covered in the previous week. We’ll discuss the importance of various factors and assumptions with hypothesis testing and learn to interpret our results. We will also review how to distinguish which procedure is appropriate for the research question at hand....
11 個視頻 (總計 136 分鐘), 3 個閱讀材料, 2 個測驗
11 個視頻
Testing a One Population Proportion8分鐘
Setting Up a Test of Difference in Population Proportions7分鐘
Testing a Difference in Population Proportions8分鐘
Interview: P-Values, P-Hacking and More24分鐘
One Mean: Testing about a Population Mean with Confidence17分鐘
Testing a Population Mean Difference13分鐘
Testing for a Difference in Population Means (for Independent Groups)12分鐘
Demo: Name That Scenario2分鐘
Introduction to Hypothesis Testing in Python20分鐘
Walk-Through: Hypothesis Testing with NHANES13分鐘
3 個閱讀材料
Hypothesis Testing: Oher Considerations10分鐘
The Relationship between Confidence Intervals & Hypothesis Testing5分鐘
Additional Practice: Hypothesis Testing1分鐘
2 個練習
Name That Scenario15分鐘
Hypothesis Testing in Python Assessment
4
完成時間為 4 小時

WEEK 4 - LEARNER APPLICATION

In the final week of this course, we will walk through several examples and case studies that illustrate applications of the inferential procedures discussed in prior weeks. Learners will see examples of well-formulated research questions related to the study designs and data sets that we have discussed thus far, and via both confidence interval estimation and formal hypothesis testing, we will formulate inferential responses to those questions....
6 個視頻 (總計 77 分鐘), 3 個閱讀材料, 1 個測驗
6 個視頻
Descriptive Inference Examples for Single Variables Using Hypothesis Testing12分鐘
Descriptive Inference Examples for Single Variables Using Confidence Intervals12分鐘
Comparing Means for Two Independent Samples: An Example14分鐘
Comparing Means for Two Paired Samples: An Example12分鐘
Comparing Proportions for Two Independent Samples: An Example13分鐘
3 個閱讀材料
Assumptions Consistency5分鐘
Revisiting Examples: Accounting for Complex Samples10分鐘
Course Feedback10分鐘
1 個練習
Assessment10分鐘
3.9
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創建者 RRMar 7th 2019

If you are interested in statistics and statistical analysis, this course gets you grounded in the essential aspects of statistics. Excellent instructors.

講師

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Brenda Gunderson

Lecturer IV and Research Fellow
Department of Statistics
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Brady T. West

Research Associate Professor
Institute for Social Research
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Kerby Shedden

Professor
Department of Statistics

關於 密歇根大学

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

關於 Statistics with Python 專項課程

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them....
Statistics with Python

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