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Probability and Statistics Course
Probability and Statistics Course
Section 1 : Getting started
Lecture 1
About Certification
Pdf
Lecture 2
Download the formula sheet
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Lecture 3
The EVERYTHING download
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Section 2 : Visualizing data
Lecture 4
Introduction to visualizing data
0:45
Lecture 5
RESOURCE Quiz solutions for this section
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Lecture 6
One-way data
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Lecture 7
One-way data
9:18
Lecture 8
Bar graphs and pie charts
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Lecture 9
Bar graphs and pie charts
19:39
Lecture 10
Line graphs and ogives
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Lecture 11
Line graphsand ogives
13:59
Lecture 12
Two-way data
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Lecture 13
Two-way data
12:55
Lecture 14
Venn diagrams
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Lecture 15
Venn diagrams
14:3
lecture 16
Relative frequency tables
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Lecture 17
Relative frequency tables
11:14
Lecture 18
Joint distributions
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Lecture 19
Joint distributions
10:36
Lecture 20
Frequency tables and dot plots
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Lecture 21
Frequency tables and dot plots
3:42
Lecture 22
Histograms and stem-and-leaf plots
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Lecture 23
Histograms and stem-and-leaf plots
13:2
Lecture 24
BONUS! Extra practice problems.
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Section 3 : Analyzing data
Lecture 25
Introduction to analyzing data
1:3
Lecture 26
RESOURCE Quiz solutions for this section
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Lecture 27
Central tendency mean, median and mode
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Lecture 28
Central tendency mean, median and mode
13:39
Lecture 29
Spread range and IQR
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Lecture 30
Spread range and IQR
11:26
Lecture 31
Changing the data, and outliers
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Lecture 32
Changing the data, and outliers
16:8
Lecture 33
Box-and-whisker plots
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Lecture 34
Box-and-whisker plots
6:20
Lecture 35
BONUS! Extra practice problems.
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Section 4 : Data distributions
Lecture 36
Introduction to data distributions
Preview
Lecture 37
RESOURCE Quiz solutions for this section
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Lecture 38
Mean, variance, and standard deviation
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Lecture 39
Mean, variance, and standard deviation
15:17
Lecture 40
Frequency histograms and polygons, and density
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Lecture 41
Frequency histograms and polygons, and density
10:53
Lecture 42
Symmetric and skewed distributions and outlier
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Lecture 43
Symmetric and skewed distributions and outlier
14:5
Lecture 44
Normal distributions and z-scores
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Lecture 45
Normal distributions and z-scores
20:58
Lecture 46
BONUS! Extra practice problems
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Section 5 : Probability
Lecture 47
Introduction to probability
Preview
Lecture 48
RESOURCE Quiz solutions for this section
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Lecture 49
Simple probability
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Lecture 50
Simple probability
17:13
Lecture 51
The addition rule, and union vs. intersection
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Lecture 52
The addition rule, and union vs. intersection.
20:31
Lecture 53
Independent and dependent events and condition
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Lecture 54
Independent and dependent events and condition
17:41
Lecture 55
Bayes' theorem
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Lecture 56
Bayes' theorem
17:8
Lecture 57
BONUS! Extra practice problems.
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Section 6 : Discrete random variables
Lecture 58
Introduction to discrete random variables
Preview
Lecture 59
RESOURCE Quiz solutions for this section
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Lecture 60
Discrete probability
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Lecture 61
Discrete probability
13:9
Lecture 62
Transforming random variables
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Lecture 63
Transforming random variables
7:35
Lecture 64
Combinations of random variables
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Lecture 65
Combinations of random variables
15:34
Lecture 66
Permutations and combinations
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Lecture 67
Permutations and combinations
10:11
Lecture 68
Binomial random variables
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Lecture 69
Binomial random variables
21:17
Lecture 70
Poisson distributions
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Lecture 71
Poisson distributions
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Lecture 72
At least and at most, and mean, variance, and
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Lecture 73
At least and at most, and mean, variance, and
13:52
Lecture 74
Bernoulli random variables
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Lecture 75
Bernoulli random variables
10:37
Lecture 76
Geometric random variables
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Lecture 77
Geometric random variables
18:21
Lecture 78
BONUS! Extra practice problems.
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Section 7 : Sampling
Lecture 79
Introduction to sampling
1:19
Lecture 80
RESOURCE Quiz solutions for this section
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Lecture 81
Types of studies
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Lecture 82
Types of studies
15:56
Lecture 83
Sampling and bias
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Lecture 84
Sampling and bias
15:40
Lecture 85
Sampling distribution of the sample mean
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Lecture 86
Sampling distribution of the sample mean
22:13
Lecture 87
Sampling distribution of the sample proportion
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Lecture 88
Sampling distribution of the sample proportion
19:3
Lecture 89
Confidence interval for a population mean
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Lecture 90
Confidence interval for a population mean
22:32
Lecture 91
Confidence interval for a population proportio
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Lecture 92
Confidence interval for a population proportio
17:12
Lecture 93
BONUS! Extra practice problems
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Section 8 : Hypothesis testing
Lecture 94
Introduction to hypothesis testing
0:54
Lecture 95
RESOURCE Quiz solutions for this section
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Lecture 96
Inferential statistics and hypotheses
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Lecture 97
Inferential statistics and hypotheses
15:25
Lecture 98
Significance level and type I and II errors
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Lecture 99
icance level and type I and II errors
13:24
Lecture 100
Test statistics for one- and two-tailed tests
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Lecture 101
est statistics for one- and two-tailed tests
19:50
Lecture 102
The p-value and rejecting the null
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Lecture 103
The p-value and rejecting the null
12:46
Lecture 104
Hypothesis testing for the population proport
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Lecture 105
Hypothesis testing for the population proport
9:53
Lecture 106
BONUS! Extra practice problems
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Section 9 : Regression
Lecture 107
Introduction to regression
1:8
Lecture 108
RESOURCE Quiz solutions for this section
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Lecture 109
Scatterplots and regression
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Lecture 110
Scatterplots and regression
15:51
Lecture 111
Correlation coefficient and the residual
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Lecture 112
Correlation coefficient and the residual
23:10
Lecture 113
Coefficient of determination and root-mean-sq
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Lecture 114
Coefficient of determination and root-mean-sq
17:1
Lecture 115
Chi-square tests
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Lecture 116
Chi-square tests
22:24
Lecture 117
BONUS! Extra practice problems
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Section 10 : Final exam and wrap-up
Lecture 118
Practice final exam #1 (optional)
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Lecture 119
Practice final exam #2 (optional)
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Lecture 120
Probability & Statistics final exam
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Lecture 121
Wrap-up
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Lectures
121
Video
11:27:31 Hours
Skill level
intermediate
level
Languages
English
Includes
Lifetime access
Certificate of Completion
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