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Prof. CWiggins @UCg3HkCrwpoVm7EAnJY3k7bA@youtube.com

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Prof CWiggins is a mathematics and data science professor at


43:52
Performing Hypothesis Tests Using Rguroo
12:20
Subsetting in Rguroo with Qualitative variables
13:03
Finding Q1, Q3, IQR out by hand and determining whether a dataset has outliers
22:23
Subsetting in Rguroo with Quantitative variables
09:59
Discrete Probability Distributions - Calculating mean, SD, and Var in Rguroo
14:08
Solving Binomial Distribution problems using Rguroo
25:15
Introducing Rguroo (Sections 4.1 & 4.2)
12:18
Continuous Uniform Distributions
22:44
Finding probabilities/areas and values in a normal distribution using Rguroo
16:11
Sampling Distributions for Means (Using Rguroo)
17:46
Sampling Distributions for Proportions (Using Rguroo)
27:18
Confidence Intervals for Means Using Rguroo
22:30
Confidence Intervals for Proportions Using Rguroo
14:53
Subsetting in Rguroo
43:19
First Order Linear DE
35:29
Explicit, Numerical, Graphical Solutions for DE
19:26
Intro to Mathematical Modeling with DE
16:23
Assessing Normality
12:05
Estimating the Population St Dev or Variance
43:35
More Laplace Transforms (Part III)
30:39
The Substitution Rule
43:27
Laplace Transforms Part II
14:01
Testing a Hypothesis about a Population Proportion
25:55
Indefinite and Definite Integrals
08:05
The Relationship Between Confidence Intervals and Hypothesis Testing
55:55
Testing a Hypothesis for a Mean with Sigma Known and Unknown
28:27
The Definite Integral
23:38
Introduction to Hypothesis Testing
26:08
Point and Interval Estimates for Proportions
38:45
Approximating area under the curve
01:04:34
Point and Interval Estimates for Means
47:44
Intro to Dashboards in Tableau
01:02:05
Optimization
14:03
Anti Derivatives
44:13
The Wilcoxon Signed Rank Test
23:19
Kruskal Wallis Test
12:16
Fixed Points and Stability of Nonlinear Autonomous Systems
17:52
Sampling Distributions for Proportions
43:31
Derivatives and Shape of Curves
32:33
Min and Max
31:55
The Sign Test
28:11
Sampling Distributions and the Central Limit Theorem
19:02
Sampling Techniques
35:34
Related Rates
18:27
ANOVA
25:15
Matrices, Vectors, and Scalars
23:28
Inverse Trig and Log Derivatives
22:02
Standard Normal Distribution
39:08
Chi Squared Test for Independence and the F Test
14:49
The Continuous Uniform and Normal Distributions
09:23
The Chain Rule
06:41
Derivatives of Trig Functions
13:31
Chi Squared Goodness of Fit Test
55:02
Harmonic Oscillators
11:58
Product and Quotient Derivative Rules
11:28
Derivatives of Polynomials and Exponential Functions
07:58
Uniform Discrete Probability Distributions
28:25
Two Populations Dependent Samples and Two Populations with Proportions
27:11
Binomial Distribution
04:04
Data Science Program at Northwestern CT CC