What you'll learnHow to use StatCrunch for Statistics
The Difference Between Qualitative and Quantitative Data
The Difference Between Discrete and Continuous Data
Definitions of Population, Parameter, Sample, and Statistic
Levels of Measurement: Nominal, Ordinal, Interval, Ratio
Random Samples versus Simple Random Samples
Cluster Sampling, Stratified Sampling, Convenience Sampling, and Systematic Sampling
How to Construct a Frequency Table/Frequency Distribution from Scratch given the Data
How to Fill in a Frequency Table given some Information
How to Compute the Class Width from the Formula and from the Table
How to Compute the Class Limits, Frequencies, Relative Frequencies, Class Midpoints, Cumulative Frequencies, and Class Boundaries
Determine if a Frequency Table is Normal
The Definition of an Outlier
Finding the Mean and Standard Deviation from a Frequency Table
How to Read a Histogram
How to Identify the Shape of a Histogram
How to Determine if a Histogram is Normal
How to Create a Pareto Chart in StatCrunch
How to Create a Pie Chart in StatCrunch
How to Create a Stemplot(Stem and Leaf Display) in StatCrunch
How to Create a Scatter Plot in StatCrunch
How to Create a Dotplot in StatCrunch
How to Read Statistical Graphs and Recognize Bad Graphs
Understand the Notation in Statistics
Understand the Measures of Center: Mean, Median, Mode, and Midrange
Compute all the Measures of Center using StatCrunch
Understand the Measures of Variation: Range, Standard Deviation, Variance, and Coefficient of Variation
Compute all the Measures of Variation using StatCrunch
How to Compute the Coefficient of Variation by Hand
Understand Z-Scores and What they Mean Intuitively
How to Compute Z-Scores by Hand with the Formula
How to Find the Value of x Given the Z-Score
How to Compute the Maximum and Minimum Usual Values
Understand Boxplots(Box and Whisker Plots), the Five Number Summary, and the IQR(Interquartile Range)
Create a Boxplot, Find the Five Number Summary, and Find the IQR using StatCrunch
Understand How to Read Boxplots
How to Find Percentiles Given the Data with StatCrunch
Understand what a Probability Is
Understand the Various ways to Compute Probabilities
Understand The Basic Rules of Probability
Understand Complements in Probability
Understand the Addition Rule Formula for Probability and What it Means Intuitively
How to use the Addition Rule in Probability Problems
How to Compute Probabilities from a Table
Understand the Multiplication Rule for Probability
How to use the Multiplication Rule for Probability Both With and Without Replacement
Understand Conditional Probability
How to Compute Conditional Probabilities in Various Scenarios, including those which Include a Table
Understand the Multiplication Rule for Counting(AKA the Fundamental Principle of Counting) and How to Use it
Understand what a Permutation Actually Means
Understand what a Combination Actually Means
Understand the Difference between Permutations and Combinations
Compute Permutations and Combinations by Hand with the Formulas
Compute Permutations by Hand without the Formula
Compute Permutations and Combinations with StatCrunch
Compute Various Probabilities using the Theory of Counting(Multiplication Rule, Combinations, Permutations)
Understand what a Random Variable Actually Is
Determine if a Random Variable is Discrete or Continuous
Understand what a Probability Distribution Actually is
Determine if the Given Table Defines a Probability Distribution
Compute Probabilities from a Given Probability Distribution using StatCrunch and By Hand
Compute the Mean and Standard Deviation Given a Probability Distribution using StatCrunch
Understand What the Expected Value Means in the Context of the Real World(Lottery) and How to Compute it by Hand
Understand the Binomial Distribution and it's Purpose
Compute Probabilities by Hand with the Binomial Distribution
Compute Probabilities with StatCrunch and the Binomial Distribution
Compute the Mean and Standard Deviation of the Binomial Distribution by Hand
Understand the Poisson Distribution(Very Cool!)
Compute Probabilities using the Poisson Distribution by Hand
Use StatCrunch to Compute Probabilities with the Poisson Distribution
Compute the Mean and Standard Deviation of the Poisson Distribution
Construct a Probability Distribution for the Sample Means by Hand
Construct a Probability Distribution for the Sample Proportions by Hand
Understand the Normal Distribution and the Standard Normal Distribution
How to Compute Probabilities with the Normal Distribution and StatCrunch
Find the Area under the Normal Distribution with StatCrunch
Compute Z-Scores given the Area under the Normal Curve with StatCrunch
Find Percentiles with the Normal Distribution and StatCrunch
Sketch Areas under the Normal Distribution with StatCrunch
Find Cut-off Values with the Normal Distribution and StatCrunch
Find Quartiles with the Normal Distribution and StatCrunch
Understand and Use the Central Limit Theorem with StatCrunch
Construct Confidence Intervals for the Population Proportion or Population Percentage using StatCrunch
Find the Sample Size Needed to Estimate a Population Proportion or Percentage using StatCrunch
Construct Confidence Intervals for the Population Mean using Z and StatCrunch
Construct Confidence Intervals for the Population mean using T and StatCrunch
Find the Sample Size needed to Estimate a Population Mean with StatCrunch
Construct Confidence Intervals for Two Population Means using StatCrunch
Construct Confidence Intervals for Two Population Proportions using StatCrunch
Perform a Full Hypothesis Test for a Population Proportion or Percentage with StatCrunch
Perform a Full Hypothesis Test for a Population Mean with StatCrunch
Perform a Full Hypothesis Test for Two Population Means with StatCrunch
Perform a Full Hypothesis Test for Two Population Proportions with StatCrunch
Perform a Full Hypothesis Test for Dependent Data with StatCrunch
How to Compute P-Values, Test Statistics, and Critical Values for Various Hypothesis Tests with StatCrunch
Understand the Basics of Linear Correlation and What it Means Intuitively
Understand what the Linear Correlation Coefficient Actually Means and Represents
How to Determine if there is a Linear Correlation Both Mathematically and Graphically
How to Compute the Linear Correlation Coefficient and Coefficient of Determination using StatCrunch
How to Compute the Least Squares Line(Regression Line) using StatCrunch
How to Make Predictions when there is a Linear Correlation using StatCrunch
How to Make Predictions when there is not a Linear Correlation using StatCrunch
RequirementsMust have StatCrunch or Purchase Access to StatCrunch
DescriptionThis is a complete college level course in Statistics which uses StatCrunch.****In order to fully benefit from this course, you must have access to StatCrunch.***If you are currently taking Statistics using StatCrunch or plan to take Statistics in College using StatCrunch, then this is the PERFECT COURSE!!!Basically just,1) Watch the videos, and try to follow along with a pencil and paper, take notes! 2) Eventually you should be able to do the problems before I do them. Try! Keep watching until you can do the problems on your own:)3) Repeat!If you finish even 50% of this course you will know A LOT of Statistics and more importantly your Statistics skills will improve a ton!Statistics is an awesome class because it gives you real life examples of how mathematics is used. This is really the ideal course for anyone who wants to learn Statistics and already has StatCrunch or is willing to get it. This course is especially useful for those who are taking a course in college and using StatCrunch. If you are, then good chance this will help you quite a bit:)I hope you enjoy watching these videos and working through these problems as much as I have:)
OverviewSection 1: Introduction to Statistics
Lecture 1 Introduction to Statistics
Lecture 2 Discrete and Continuous Data
Lecture 3 Populations, Samples, Parameters, and Statistics
Lecture 4 Levels of Measurement: Nominal, Ordinal, Interval, Ratio
Lecture 5 Random Samples and Simple Random Samples
Lecture 6 Stratified, Cluster, Systematic, and Convenience Sampling
Lecture 7 Qualitative versus Quantitative Data Example
Lecture 8 Discrete or Continuous Example 1
Lecture 9 Discrete or Continuous Example 2
Lecture 10 Statistic or Parameter Example 1
Lecture 11 Statistic or Parameter Example 2
Lecture 12 Level of Measurement Example 1
Lecture 13 Level of Measurement Example 2
Lecture 14 Level of Measurement Example 3
Lecture 15 Level of Measurement Example 4
Lecture 16 Sampling Technique Example 1
Lecture 17 Sampling Technique Example 2
Lecture 18 Sampling Technique Example 3
Lecture 19 Sampling Technique Example 4
Section 2: Frequency Tables
Lecture 20 Frequency Table and Class Width Example 1
Lecture 21 Frequency Table and Class Width Example 2
Lecture 22 Find the Total Number given the Frequency Table
Lecture 23 How to Compute Relative Frequencies
Lecture 24 Class Limits, Class Width, Class Midpoints, and Class Boundaries Example 1
Lecture 25 Class Limits, Class Width, Class Midpoints, and Class Boundaries Example 2
Lecture 26 Determine if the Frequency Table is Normal Example 1
Lecture 27 Determine if the Frequency Table is Normal Example 2
Lecture 28 How to Find the Frequencies in a Frequency Table
Lecture 29 How to Find Cumulative Frequencies Example 1
Lecture 30 How to Find Cumulative Frequencies Example 2
Lecture 31 Definition of an Outlier
Lecture 32 Constructing a Relative Frequency Distribution
Lecture 33 Frequency Table with Relative Frequencies, Cumulative Frequencies, and Midpoints
Lecture 34 Class Boundaries in a Frequency Table with Decimals
Lecture 35 Mean and Standard Deviation from a Frequency Table Example 1
Lecture 36 Mean and Standard Deviation from a Frequency Table Example 2
Section 3: Histograms
Lecture 37 Reading a Histogram Example 1
Lecture 38 Reading a Histogram Example 2
Lecture 39 Reading a Histogram Example 3
Lecture 40 Identify the Shape of the Histogram
Lecture 41 Determine if the Histogram is Normal Example 1
Lecture 42 Determine if the Histogram is Normal Example 2
Lecture 43 Determine if the Histogram is Normal Example 3
Lecture 44 Conceptual Examples with Histograms
Section 4: Statistical Graphs in StatCrunch
Lecture 45 Pie Chart in StatCrunch
Lecture 46 Stemplot in StatCrunch
Lecture 47 Dotplot in StatCrunch
Lecture 48 Pareto Chart in StatCrunch
Lecture 49 Scatterplot in StatCrunch
Section 5: Dotplots, Stemplots, Pareto Charts, Pie Charts, and Scatter Plots
Lecture 50 Dotplot Example
Lecture 51 Stemplot Example
Lecture 52 Pareto Chart Example 1
Lecture 53 Pareto Chart Example 2
Lecture 54 Misleading Graph Example
Lecture 55 Some Conceptual Examples
Section 6: Measures of Center and Variation
Lecture 56 Measures of Center: Mean, Median, Mode, and Midrange
Lecture 57 Measures of Center Example 1
Lecture 58 Measures of Center Example 2
Lecture 59 Measures of Center Example 3
Lecture 60 Mode in StatCrunch
Lecture 61 Measures of Center Example 4
Section 7: Measures of Variation
Lecture 62 Introduction to Measures of Variation
Lecture 63 Notation in Statistics
Lecture 64 Notation Example Problem
Lecture 65 Measures of Variation Example 1
Lecture 66 Measures of Variation Example 2
Lecture 67 Mean, Standard Deviation, and Variance in StatCrunch
Lecture 68 Mean, Range, and Standard Deviation from a Stemplot Example
Lecture 69 Coefficient of Variation Example 1
Lecture 70 Coefficient of Variation Example 2
Lecture 71 Coefficient of Variation Example 3
Lecture 72 Coefficient of Variation Example 4
Section 8: Measures of Relative Standing
Lecture 73 Introduction to Z-Scores
Lecture 74 Z-Score Example 1
Lecture 75 Z-Score Example 2
Lecture 76 Z-Score Example 3
Lecture 77 Z-Score Example 4
Lecture 78 Z-Score Example 5
Lecture 79 Z-Score Example 6
Lecture 80 Z-Score Example 7
Lecture 81 Maximum and Minimum Usual Values
Section 9: Box and Whisker Plots
Lecture 82 Introduction to Boxplots with StatCrunch
Lecture 83 Boxplot and Five Number Summary Example 1
Lecture 84 Boxplot and Five Number Summary Example 2
Lecture 85 Boxplot and Five Number Summary Example 3
Lecture 86 Percentiles with StatCrunch
Lecture 87 Percentile Example 1
Lecture 88 Percentile Example 2
Lecture 89 Some Conceptual Questions
Section 10: Probability
Lecture 90 Introduction to Probability
Lecture 91 Three Ways to Generate Probabilities
Lecture 92 Complements in Probability
Lecture 93 Basic Probability Example 1
Lecture 94 Basic Probability Example 2
Lecture 95 Basic Probability Example 3
Lecture 96 Basic Probability Example 4
Lecture 97 Basic Probability Example 5
Lecture 98 Basic Probability Example 6
Lecture 99 Basic Probability Example 7
Lecture 100 Basic Probability Example 8
Lecture 101 Basic Probability Example 9
Lecture 102 Basic Probability Example 10
Lecture 103 Basic Probability Example 11
Lecture 104 Basic Probability Example 12
Lecture 105 Basic Probability Example 13
Lecture 106 Basic Probability Example 14
Lecture 107 Basic Probability Example 15
Lecture 108 Basic Probability Example 16
Section 11: Addition Rule for Probability
Lecture 109 The Addition Rule for Probability
Lecture 110 Addition Rule with Table Example 1
Lecture 111 Addition Rule With Table Example 2
Lecture 112 Addition Rule with Table Example 3
Lecture 113 Addition Rule with Table Example 4
Lecture 114 Addition Rule with Table Example 5
Lecture 115 Addition Rule with Table Example 6
Section 12: Multiplication Rule for Probability
Lecture 116 The Multiplication Rule for Probability
Lecture 117 Multiplication Rule for Probability Example 1
Lecture 118 Multiplication Rule for Probability Example 2
Lecture 119 Multiplication Rule for Probability Example 3
Lecture 120 Multiplication Rule for Probability Example 4
Lecture 121 Multiplication Rule for Probability Example 5
Lecture 122 Multiplication Rule for Probability Example 6
Lecture 123 Multiplication Rule for Probability Example 7
Lecture 124 Multiplication Rule for Probability Example 8
Section 13: Conditional Probability
Lecture 125 Conditional Probability Example 1
Lecture 126 Conditional Probability Example 2
Lecture 127 Conditional Probability Example 3
Lecture 128 Conditional Probability Example 4
Lecture 129 Conditional Probability Example 5
Lecture 130 Conditional Probability Example 6
Lecture 131 Conditional Probability Example 7
Section 14: Counting Theory
Lecture 132 Multiplication Rule Example 1
Lecture 133 Multiplication Rule Example 2
Lecture 134 Multiplication Rule Example 3
Lecture 135 Multiplication Rule Example 4
Lecture 136 Multiplication Rule Example 5
Lecture 137 Multiplication Rule Example 6
Lecture 138 Introduction to Combinations and Permutations
Lecture 139 Combinations Example 1
Lecture 140 Combinations Example 2
Lecture 141 Combinations by Hand with the Formula Example
Lecture 142 StatCrunch and Permutations Example 1
Lecture 143 StatCrunch and Permutations Example 2
Lecture 144 StatCrunch and Combinations Example 1
Section 15: More Counting Theory with Probability
Lecture 145 Example 1
Lecture 146 Example 2
Lecture 147 Example 3
Lecture 148 Example 4
Lecture 149 Example 5
Lecture 150 Example 6
Lecture 151 Example 7
Lecture 152 Example 8
Section 16: Probability Distributions
Lecture 153 Introduction to Random Variables
Lecture 154 Discrete Probability Distributions
Lecture 155 Mean and Standard Deviation for Random Variables
Lecture 156 The Expected Value Intuitive Explanation
Section 17: Probability Distributions Examples
Lecture 157 Example 1
Lecture 158 Example 2
Lecture 159 Example 3
Lecture 160 Example 4
Lecture 161 Example 5
Lecture 162 Example 6
Section 18: The Binomial Distribution
Lecture 163 The Binomial Distribution
Lecture 164 Choosing Inequality Symbols
Lecture 165 Binomial Distribution Example by Hand
Lecture 166 Mean and Standard Deviation of the Binomial Distribution
Lecture 167 Example 1
Lecture 168 Example 2
Lecture 169 Example 3
Lecture 170 Example 4
Lecture 171 Example 5
Lecture 172 Example 6
Lecture 173 Example 7
Section 19: The Poisson Distribution
Lecture 174 Introduction to the Poisson Distribution
Lecture 175 Poisson Distribution Example by Hand
Lecture 176 Poisson Distribution StatCrunch Example
Lecture 177 Example 1
Lecture 178 Example 2
Lecture 179 Example 3
Section 20: Sampling Distributions
Lecture 180 Probability Distribution for the Sample Means
Lecture 181 Probability Distribution for the Sample Proportions
Section 21: The Normal Distribution
Lecture 182 Full Introduction to the Normal Distribution
Lecture 183 Normal Distribution with StatCrunch Example 1
Lecture 184 Normal Distribution with StatCrunch Example 2
Lecture 185 Normal Distribution with StatCrunch Example 3
Lecture 186 Normal Distribution with StatCrunch Example 4
Lecture 187 Normal Distribution with StatCrunch Example 5
Lecture 188 Normal Distribution with StatCrunch Example 6
Lecture 189 Normal Distribution with StatCrunch Example 7
Lecture 190 How to Compute Percentiles with the Normal Distribution
Lecture 191 Cut-off Value with the Normal Distribution Example 1
Lecture 192 Cut-off Value with the Normal Distribution Example 2
Section 22: The Normal Distribution: More Practice Problems
Lecture 193 Example 1: Probability Question
Lecture 194 Example 2: Probability Question
Lecture 195 Example 3: Finding the Z-Score
Lecture 196 Example 4: Finding the Z-Score
Lecture 197 Example 5: Sketching the Area
Lecture 198 Example 6: Sketching the Area
Lecture 199 Example 7: Sketching the Area
Lecture 200 Example 8: Finding a Percentile
Lecture 201 Example 9: Finding the Area
Lecture 202 Example 10: Finding the Area
Lecture 203 Example 11: Finding x Given the Area
Lecture 204 Example 12: Probability Question
Lecture 205 Example 13: Finding a Percentile
Lecture 206 Example 14: Finding the First Quartile
Lecture 207 Example 15: Finding a Percentage
Lecture 208 Example 16: Finding a Cut-off Value
Section 23: The Central Limit Theorem
Lecture 209 Introduction to the Central Limit Theorem
Lecture 210 Central Limit Theorem Example 1
Lecture 211 Central Limit Theorem Example 2
Lecture 212 Central Limit Theorem Example 3
Lecture 213 Central Limit Theorem Example 4
Section 24: Estimating Population Proportions
Lecture 214 Confidence Interval for a Population Proportion Example 1
Lecture 215 Confidence Interval for a Population Proportion Example 2
Lecture 216 Confidence Interval for a Population Proportion Example 3
Lecture 217 Confidence Interval for a Population Proportion Example 4
Lecture 218 Confidence Interval for a Population Proportion Example 5
Lecture 219 Confidence Interval for a Population Proportion Example 6
Lecture 220 Sample Size needed to Estimate a Population Proportion Example 1
Lecture 221 Sample Size needed to Estimate a Population Proportion Example 2
Lecture 222 Sample Size needed to Estimate a Population Proportion Example 3
Section 25: Estimating Population Means
Lecture 223 Introduction to Confidence Intervals for the Mean: Z versus T
Lecture 224 Confidence Interval and Intepretation for a Population Mean by Hand
Lecture 225 Confidence Interval for a Mean using StatCrunch Example 1
Lecture 226 Confidence Interval for a Mean using StatCrunch Example 2
Lecture 227 Confidence Interval for a Mean using StatCrunch Example 3
Lecture 228 Confidence Interval for a Mean using StatCrunch Example 4
Lecture 229 Confidence Interval for a Mean using StatCrunch Example 5
Lecture 230 Confidence Interval for a Mean using StatCrunch Example 6
Lecture 231 Confidence Interval for a Mean using StatCrunch Example 7
Lecture 232 Confidence Interval for a Mean using StatCrunch Example 8
Lecture 233 Confidence Interval for a Mean using StatCrunch Example 9
Lecture 234 Sample Size needed to Estimate a Population Mean with StatCrunch
Section 26: Hypothesis Testing
Lecture 235 Introduction to Hypothesis Testing
Lecture 236 How to Set up the Null and Alternative Hypothesis
Lecture 237 How to Determine the Conclusion of a Hypothesis Test
Lecture 238 Determining the Conclusion of a Hypothesis Test
Section 27: Hypothesis Testing for a Population Proportion
Lecture 239 Example 1
Lecture 240 Example 2
Lecture 241 Example 3
Lecture 242 Example 4
Lecture 243 Example 5
Section 28: Hypothesis Testing for a Population Mean
Lecture 244 Example 1
Lecture 245 Example 2
Lecture 246 Example 3
Lecture 247 Example 4
Section 29: Hypothesis Testing for Two Population Proportions
Lecture 248 Example 1
Lecture 249 Example 2
Section 30: Confidence Intervals for Two Proportions
Lecture 250 How to Interpret Confidence Intervals for Two Proportions
Lecture 251 Confidence Level for a Confidence Interval in relation to a Hypothesis Test
Lecture 252 Confidence Interval for Two Proportions Example in StatCrunch
Section 31: Hypothesis Tests and Confidence Intervals for Two Population Means
Lecture 253 Example 1
Lecture 254 Example 2
Lecture 255 Example 3
Section 32: Hypothesis Tests for Paired dаta: Dependent Samples
Lecture 256 Example 1
Lecture 257 Example 2
Lecture 258 Example 3
Lecture 259 Example 4
Lecture 260 Example 5
Section 33: Computing P-Values with StatCrunch for One Tailed Tests
Lecture 261 P-Value Example 1
Lecture 262 P-Value Example 2
Lecture 263 P-Value Example 3
Lecture 264 P-Value Example 4
Section 34: Computing Critical Values in StatCrunch for One Tailed Tests
Lecture 265 Critical Value Example 1
Lecture 266 Critical Value Example 2
Lecture 267 Critical Value Example 3
Section 35: Computing P-Values, Test Statistics, and Critical Values for Two-Tailed Tests
Lecture 268 P-Value and Test Statistic for Hypothesis Test for Two Proportions in StatCrunch
Lecture 269 P-Value and Test Statistic for a Hypothesis Test for Two Means with StatCrunch:1
Lecture 270 P-Value and Test Statistic for a Hypothesis Test for Two Means with StatCrunch:2
Lecture 271 Critical Value for a Two Tailed Test Example 1
Lecture 272 Critical Value for a Two Tailed Test Example 2
Section 36: Correlation and Regression
Lecture 273 Introduction to Correlation
Lecture 274 How to Make Predictions in Regression Analysis
Lecture 275 Least Squares Line, Correlation Coefficient, and Coefficient of Determination
Section 37: Correlation and Regression: More Examples
Lecture 276 Example 1
Lecture 277 Example 2
Lecture 278 Example 3
Lecture 279 Example 4
Lecture 280 Example 5
Lecture 281 Example 6
Lecture 282 Example 7
Lecture 283 Example 8
Anyone Currently Taking a Course using StatCrunch,Anyone who wants to Learn Statistics using StatCrunch(must have StatCrunch)
Buy Premium Account From My Download Links & Get Fastest Speed.