Biostatistics is an essential skill for every public health researcher because it provides a set of precise methods for extracting meaningful conclusions from data. In this second course of the Biostatistics in Public Health Specialization, you'll learn to evaluate sample variability and apply statistical hypothesis testing methods. Along the way, you'll perform calculations and interpret real-world data from the published scientific literature. Topics include sample statistics, the central limit theorem, confidence intervals, hypothesis testing, and p values.
Этот курс входит в специализацию ''Специализация Biostatistics in Public Health '
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Об этом курсе
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
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Попробуйте Coursera для бизнесаЧему вы научитесь
Use statistical methods to analyze sampling distribution
Estimate and interpret 95% confidence intervals for single samples
Estimate and interpret 95% confidence intervals for two populations
Estimate and interpret p values for hypothesis testing
Приобретаемые навыки
- Confidence Interval
- Statistical Hypothesis Testing
- p values
- sampling
The recommended math prerequisite is up through and including basic algebra including logarithms and the equation of a line.
Будет ли вашей компании выгодно обучить сотрудников востребованным навыкам?
Попробуйте Coursera для бизнесаот партнера
Программа курса: что вы изучите
Sampling Distributions and Standard Errors
Confidence Intervals for Single Population Parameters
Confidence Intervals for Population Comparison Measures
Two-Group Hypothesis Testing: The General Concept and Comparing Means
Hypothesis Testing (Comparing Proportions and Incidence Rates Between Two Populations) & Extended Hypothesis Testing
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Рецензии
- 5 stars84,84 %
- 4 stars13,19 %
- 3 stars1,24 %
- 2 stars0,35 %
- 1 star0,35 %
Лучшие отзывы о курсе ПРОВЕРКА ГИПОТЕЗ В ЗДРАВООХРАНЕНИИ
Simply the best course ever illustrated so far!! Instructor Dr. John is an awesome motivator and true passionate instructor!
Very detailed lectures and mostly all the concepts were cleared by examples which was great for me to conceptualize all the topics in a simple manner. Thank you so much.
This course astonishingly improved my ability in interpreting scientific paper results related to public health. Highly recommended. Thanks in advance to Dr. McGready for being such a great instructor
Huge coverage of hypothesis testing. Some lectures were quite repetitive or similar in nature and those could be reshaped as it seemed puzzling and boring. However, It was an informative one.
Специализация Biostatistics in Public Health : общие сведения

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