Udemy - Statistics with Excel Год выпуска: 2015 Производитель: Udemy / Educator.com Автор: Dr. Son Продолжительность: 35:15 Тип раздаваемого материала: Видеоклипы Язык: Английский Описание: Want to learn statistics using Excel to build more marketable skills or ace your college course? We'll help you through it with our super comprehensive 36 hour course broken down into easy to understand 159 lessons. Each lesson begins with concept overviews before our instructor dives into step-by-step data manipulation in Excel. Data sets are downloadable so you can follow along. Although our course is catered towards college students, professional students and even high school students taking the AP will find our information lifesaving. Хотите узнать статистических данных с помощью Excel построить более востребованных навыков или туз ваш курс колледжа? Мы поможем Вам пройти через это с нашей супер всеобъемлющего 36-часовой курс разбиты на легко понять 159 уроки. Каждый урок начинается с концепции обзоры прежде чем наш инструктор погружения в пошаговые манипуляции с данными в Excel. Данные комплекты доступны для скачивания, так что вы можете следовать вдоль. Хотя наш курс обслуживали по отношению к студентам колледжа, студенты профильных вузов и даже учащиеся школы принимают ЗС найдете информацию наших жизней.
Содержание
Section 1: Introduction Lecture 1 Descriptive Statistics vs. Inferential Statistics, Part 1 19:10 Lecture 2 Descriptive Statistics vs. Inferential Statistics, Part 2 06:21 Section 2: About Samples: Cases, Variables, Measurements Lecture 3 About Samples: Cases, Variables, Measurements, Part 1 14:14 Lecture 4 About Samples: Cases, Variables, Measurements, Part 2 17:56 Section 3: Visualizing Distributions Lecture 5 Introduction to Excel, Part 1 07:14 Lecture 6 Frequency Distributions in Excel, Part 1 18:22 Lecture 7 Frequency Distributions in Excel, Part 2 13:47 Lecture 8 Frequency Distributions in Excel, Part 3 06:36 Lecture 9 Frequency Distributions and Features, Part 1 13:53 Lecture 10 Frequency Distributions and Features, Part 2 11:26 Lecture 11 Dotplots and Histograms in Excel, Part 1 15:24 Lecture 12 Dotplots and Histograms in Excel, Part 2 16:11 Lecture 13 Dotplots and Histograms in Excel, Part 3 10:59 Lecture 14 Stemplots 12:17 Lecture 15 Bar Graphs, Part 1 14:01 Lecture 16 Bar Graphs, Part 2 08:41 Section 4: Summarizing Distributions Lecture 17 Central Tendency: Mean, Median, Mode, Part 1 15:04 Lecture 18 Central Tendency: Mean, Median, Mode, Part 2 10:23 Lecture 19 Central Tendency: Mean, Median, Mode, Part 3 13:15 Lecture 20 Central Tendency: Mean, Median, Mode, Part 4 09:35 Lecture 21 Variability, Part 1 12:25 Lecture 22 Variability, Part 2 14:53 Lecture 23 Variability, Part 3 15:15 Lecture 24 Five Number Summary & Boxplots, Part 1 17:02 Lecture 25 Five Number Summary & Boxplots, Part 2 17:58 Lecture 26 Five Number Summary & Boxplots, Part 3 14:08 Lecture 27 Five Number Summary & Boxplots, Part 4 07:59 Lecture 28 Shape: Calculating Skewness & Kurtosis, Part 1 08:55 Lecture 29 Shape: Calculating Skewness & Kurtosis, Part 2 11:31 Lecture 30 Shape: Calculating Skewness & Kurtosis, Part 3 11:37 Lecture 31 Normal Distribution, Part 1 19:45 Lecture 32 Normal Distribution, Part 2 14:35 Lecture 33 Standard Normal Distributions & Z-Scores, Part 1 16:41 Lecture 34 Standard Normal Distributions & Z-Scores, Part 2 11:39 Lecture 35 Standard Normal Distributions & Z-Scores, Part 3 13:17 Lecture 36 Normal Distribution: PDF vs. CDF, Part 1 18:33 Lecture 37 Normal Distribution: PDF vs. CDF, Part 2 17:15 Lecture 38 Normal Distribution: PDF vs. CDF, Part 3 19:51 Section 5: Linear Regression Lecture 39 Scatterplots, Part 1 18:28 Lecture 40 Scatterplots, Part 2 17:41 Lecture 41 Scatterplots, Part 3 11:04 Lecture 42 Regression, Part 1 14:48 Lecture 43 Regression, Part 2 17:05 Lecture 44 Least Squares Regression, Part 1 17:16 Lecture 45 Least Squares Regression, Part 2 17:13 Lecture 46 Least Squares Regression, Part 3 09:20 Lecture 47 Least Squares Regression, Part 4 12:36 Lecture 48 Correlation, Part 1 15:06 Lecture 49 Correlation, Part 2 15:18 Lecture 50 Correlation, Part 3 13:24 Lecture 51 Correlation: r vs. r-squared, Part 1 18:33 Lecture 52 Correlation: r vs. r-squared, Part 2 18:51 Lecture 53 Correlation: r vs. r-squared, Part 3 15:20 Lecture 54 Transformations of Data, Part 1 10:35 Lecture 55 Transformations of Data, Part 2 16:24 Section 6: Collecting Data in an Experiment Lecture 56 Sampling & Bias, Part 1 13:06 Lecture 57 Sampling & Bias, Part 2 14:52 Lecture 58 Sampling & Bias, Part 3 12:30 Lecture 59 Sampling & Bias, Part 4 14:05 Lecture 60 Sampling Methods 14:16 Lecture 61 Research Design, Part 1 17:53 Lecture 62 Research Design, Part 2 16:14 Lecture 63 Research Design, Part 3 19:28 Lecture 64 Between and Within Treatment Variability, Part 1 15:45 Lecture 65 Between and Within Treatment Variability, Part 2 10:28 Lecture 66 Between and Within Treatment Variability, Part 3 15:12 Section 7: Review of Probability Axioms Lecture 67 Sample Spaces, Part 1 15:06 Lecture 68 Sample Spaces, Part 2 12:38 Lecture 69 Sample Spaces, Part 3 10:04 Lecture 70 Addition Rule for Disjoint Events, Part 1 10:48 Lecture 71 Addition Rule for Disjoint Events, Part 2 09:34 Lecture 72 Conditional Probability, Part 1 15:00 Lecture 73 Conditional Probability, Part 2 15:51 Lecture 74 Conditional Probability, Part 3 15:03 Lecture 75 Conditional Probability, Part 4 11:18 Lecture 76 Independent Events, Part 1 11:10 Lecture 77 Independent Events, Part 2 13:07 Section 8: Probability Distributions Lecture 78 Introduction to Probability Distributions, Part 1 17:42 Lecture 79 Introduction to Probability Distributions, Part 2 17:44 Lecture 80 Introduction to Probability Distributions, Part 3 11:49 Lecture 81 Introduction to Probability Distributions, Part 4 09:22 Lecture 82 Expected Value & Variance of Probability Distributions, Part 1 19:19 Lecture 83 Expected Value & Variance of Probability Distributions, Part 2 16:13 Lecture 84 Expected Value & Variance of Probability Distributions, Part 3 18:05 Lecture 85 Binomial Distribution, Part 1 19:34 Lecture 86 Binomial Distribution, Part 2 18:25 Lecture 87 Binomial Distribution, Part 3 17:02 Section 9: Sampling Distributions of Statistics Lecture 88 Introduction to Sampling Distributions, Part 1 14:12 Lecture 89 Introduction to Sampling Distributions, Part 2 16:45 Lecture 90 Introduction to Sampling Distributions, Part 3 17:16 Lecture 91 Sampling Distribution of the Mean, Part 1 15:49 Lecture 92 Sampling Distribution of the Mean, Part 2 11:22 Lecture 93 Sampling Distribution of the Mean, Part 3 15:55 Lecture 94 Sampling Distribution of the Mean, Part 4 12:15 Lecture 95 Sampling Distribution of the Mean, Part 5 13:23 Lecture 96 Sampling Distribution of Sample Proportions, Part 1 19:12 Lecture 97 Sampling Distribution of Sample Proportions, Part 2 18:41 Lecture 98 Sampling Distribution of Sample Proportions, Part 3 16:37 Section 10: Inferential Statistics Lecture 99 Introduction to Confidence Intervals, Part 1 18:24 Lecture 100 Introduction to Confidence Intervals, Part 2 11:19
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