Statistics Full Video Course
5.0
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9 learners
What you'll learn
This course includes
- 21.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 51 lessons • 21.5 hours of video
Statistics Full Video Course
51 lessons
• 21.5 hours
Statistics Full Video Course
51 lessons
• 21.5 hours
- Introduction to Statistics - Definition31:02
- Statistics: Lecture 2 - Frequency Distribution and Charts22:37
- Population and Sample, Parameter and Statistics18:28
- Data Classification - Qualitative and Quantitative - Level of Measurements19:14
- Experimental Design and Data Collection - Statistics30:10
- Frequency Distribution and Graphs - Statistics29:07
- Graphs - Stem-and-leaf plots, Dot Plots, Pie Chart, Pareto Charts, Scatter Plot and Time Series.39:06
- Central Tendency - Mean, Median and Mode -(Statistics)29:23
- Measures of Variation - Range, Variance, Standard Deviation, Chebyshev’s Theorem and Empirical Rule23:15
- Measures of Position – Quartiles, Z-Score, Percentile and Box-and-Whisker Plot20:31
- Introduction to probability Lecture 1 - Statistics25:03
- Conditional probability and Multiplication Rule - Statistics27:09
- Probability - Addition Rule and Mutually Exclusive Events26:02
- Permutation and Combination - Probability - Statistics22:50
- Discrete Probability Distributions - Statistics26:59
- Binomial Probability Distributions - Statistics31:27
- Geometric and Poisson Discrete Probability Distributions08:18
- Normal Probability Distribution, Bell Curve, Standard Normal Curve and Z-Score Value - Statistics29:33
- Normal Distribution - Finding the Probability Value20:37
- Normal Distributions: Finding Values - The Z-Score and X Random Variable Values14:56
- Sampling Distributions and the Central Limit Theorem29:45
- Normal Approximations to Binomial Distributions - Statistics41:22
- Confidence Intervals for the Mean, minimum sample size required when estimating μ - Statistics29:18
- Confidence Intervals for the Mean (Small Samples) and t-distribution, t-test, -- Statistics12:51
- Point Estimate and Confidence Intervals for Population Proportions - Statistics16:29
- Introduction to Hypothesis Testing, type I and type II errors, level of significance - Statistics37:04
- Hypothesis Testing for the Mean (Small Samples), t-distribution, t-test - Statistics18:06
- Hypothesis Testing for the Mean (Large Sample), P-values for a z-test, critical values - Statistics31:17
- Hypothesis Testing for Proportions - Use the z-test to test a population proportion - Statistics25:26
- Hypothesis Testing for Variance and Standard Deviation - Using Chi - Square Table - Statistics20:53
- Confidence Intervals for Variance and Standard Deviation using chi-square distribution table31:05
- Hypothesis Testing with Two Samples - Small Independent Samples - t-test dist. table - Statistics18:17
- Hypothesis Testing with Two Samples - Large Independent and dependent samples -- Statistics33:10
- How to find the correlation coefficient, independent and dependent variables, --- Statistics51:19
- How to calculate Correlation Coefficient and find the Regression Equation using MS Excel -Statistics08:53
- How to find Multiple Regression Equation or Model for predictive analysis using Minitab - Statistics13:53
- Measures of Regression and Prediction Intervals, the coefficient of determination - Statistics28:24
- How to the find Linear Regression Equation, Predict dependent variable using regression equation27:52
- How to test the Difference Between Proportions - Hypothesis Testing with Two Samples - Statistics23:49
- How to Perform a t-test - Hypothesis Testing with Two Samples (Dependent Samples) - Statistics24:00
- How to perform Hypothesis Testing using Chi-Square Tests Goodness of Fit - Statistics32:18
- Use a chi-square distribution to test whether two variables are independent - Statistics31:36
- Perform two-sample F-test to compare two variances: F-Distribution Comparing 2 Variance - Statistics31:11
- One-way Analysis of Variance (ANOVA) to test claims involving three or more means - Statistics29:01
- The Sign Test (Nonparametric Tests) to test a population median. Paired-sample sign test, Statistics31:56
- Wilcoxon Signed-Rank Test and Wilcoxon Rank Sum Test - Nonparametric Tests - Statistics36:11
- How to Use Kruskal-Wallis Test. Non-parametric Tests -The Kruskal-Wallis Test - Statistics17:28
- Rank Correlation Test: Using Spearman Rank Correlation Coefficient Nonparametric Test - Statistics14:57
- Non-parametric Tests --The Runs Test: Use the runs test to determine whether a data set is random28:50
- Welcome to DSRT 734 course - Inferential Statistics in Decision Making20:46
- What is Data? Meaning of Data and Data Explosion: Statistics16:17
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