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Sections:
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Activities:
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- 001 Let s Get Started with Python U5OR gitir
- 002 1 1 What is Statistics aHyS gitir
- 003 1 2 Types of Statistics zY7G gitir
- 004 1 3 What is Data p6Dr gitir
- 005 1 4 Stevens Typology p9is gitir
- 006 1 5 How to Distinguish jmUT gitir
- 007 1 6 Independent Dependent Variables BUrf gitir
- 009 2 0 Introduction G0E1 gitir
- 010 2 1 Display Data 1 Frequency Table h6aD gitir
- 011 2 2 Display Data 2 Create Frequency Table with Python X1a5 gitir
- 012 2 3 Display Data 3 Stem and Leaf Diagram D1c0 gitir
- 013 2 4 Display Data 4 Stem and Leaf Diagram with Python Qwcc gitir
- 014 2 5 Display Data 5 Histogram EmoT gitir
- 015 2 6 Display Data 6 Create Histograms with Python wbDX gitir
- 016 2 7 Display Data 7 Dot Plot NlHB gitir
- 017 2 8 Central Tendency 1 Mean XSvd gitir
- 018 2 9 Central Tendency 2 Median 7Dmm gitir
- 019 2 10 Central Tendency 3 Mode 2TD1 gitir
- 020 2 11 Central Tendency 4 Mean Median Mode with Python GLPt gitir
- 021 2 12 Central Tendency 5 Geometric Mean wbsj gitir
- 022 2 13 Central Tendency 6 Harmonic Mean BynF gitir
- 023 2 14 Central Tendency 7 Trimmed Mean Wzik gitir
- 024 2 15 Central Tendency 8 Moving Average qrO5 gitir
- 025 2 16 Central Tendency 9 Expected Value I0aj gitir
- 026 2 17 Central Tendency 10 Proportions for Binary Data UUGd gitir
- 027 2 18 Central Tendency 11 Various Means with Python 4DQc gitir
- 028 2 19 Variability 1 What is Variability QE9e gitir
- 029 2 20 Variability 2 Range and Residual zdhH gitir
- 030 2 21 Variability 3 Mean Absolute Deviation CCyy gitir
- 031 2 22 Variability 4 Variance 4b1e gitir
- 032 2 23 Variability 5 Standard Deviation jR1O gitir
- 033 2 24 Variability 6 Coefficient of Variation rJNn gitir
- 034 2 25 Variability 7 Variability with Python Ursm gitir
- 035 2 26 Relative Position 1 Percentile PQeM gitir
- 036 2 27 Relative Position 2 Interquartile Range KV6s gitir
- 037 2 28 Relative Position 3 The Empirical Rule Rjyu gitir
- 038 2 29 Relative Position 4 Chebyshev s Theorem 3M4f gitir
- 039 2 30 Relative Position 5 Relative Position with Python Dkak gitir
- 040 2 31 Data Visualization 1 Why Visualization sWAn gitir
- 041 2 32 Data Visualization 2 Box Plot 7yO8 gitir
- 042 2 33 Data Visualization 3 Box Plot with Python 36Nb gitir
- 043 2 34 Data Visualization 4 Bar Chart hfD1 gitir
- 044 2 35 Data Visualization 5 Bar Plot with Python cDrJ gitir
- 045 2 36 Data Visualization 6 Pie Chart itUQ gitir
- 046 2 37 Data Visualization 7 Pie Chart with Python e0iP gitir
- 047 2 38 Data Visualization 8 Line Plot Ksgt gitir
- 048 2 39 Data Visualization 9 Line Plot with Python qRP3 gitir
- 049 2 40 Data Visualization 10 Cross Tabulation Table R5S8 gitir
- 050 2 41 Data Visualization 11 Stacked Bar Chart LlGV gitir
- 051 2 42 Data Visualization 12 Crosstab and Stacked Bar Chart with Python DgrK gitir
- 052 2 43 Data Visualization 13 Mosaic Plot with Python Bvg5 gitir
- 053 2 44 Data Visualization 14 Ternary Plot eOdM gitir
- 054 2 45 Data Visualization 15 Ternary Plot with Python GO5r gitir
- 056 3 0 Introduction KXOC gitir
- 057 3 1 Permutation Combination 1 Factorial N1qB gitir
- 058 3 2 Permutation Combination 2 Permutation wqI9 gitir
- 059 3 3 Permutation Combination 3 Combination NBsS gitir
- 061 3 4 Permutation Combination 4 Permutation and Combination with Python bh9z gitir
- 062 3 5 Set Theory 1 Experiment Event M36t gitir
- 063 3 6 Set Theory 2 Set XMFj gitir
- 064 3 7 Set Theory 3 Event Element w3ea gitir
- 065 3 8 Set Theory 4 Venn Diagram FBg5 gitir
- 066 3 9 Set Theory 5 Complementary Event rLhD gitir
- 067 3 10 Set Theory 6 Intersection 07kg gitir
- 068 3 11 Set Theory 7 Union 5mA0 gitir
- 069 3 12 Set Theory 8 Set Difference vRqP gitir
- 071 3 13 Set Theory 9 Set in Python 2y9x gitir
- 072 3 14 Probability Theory 1 What is Probability aMss gitir
- 073 3 15 Probability Theory 2 Calculate Probability p3iu gitir
- 074 3 16 Probability Theory 3 Combination Probability 5yvb gitir
- 075 3 17 Probability Theory 4 Statistical Independence EGyF gitir
- 076 3 18 Probability Theory 5 Expected Value W8qQ gitir
- 078 3 19 Conditional Probability 1 What is Conditional Probability EI3K gitir
- 079 3 20 Conditional Probability 2 Statistical Independence g2if gitir
- 080 3 21 Conditional Probability 3 Multiplication Theorem 5W54 gitir
- 081 3 22 Conditional Probability 4 Simpson s Paradox IBuv gitir
- 082 3 23 Conditional Probability 5 Conditional Probability with Python AKdG gitir
- 083 3 24 Conditional Probability 6 Bayes Theorem WX7t gitir
- 084 3 25 Conditional Probability 7 Bayes Theorem with Python AvnW gitir
- 086 4 0 Introduction KHNn gitir
- 087 4 1 Random Variable c0lk gitir
- 088 4 2 Discrete Probability Distribution Nxj0 gitir
- 089 4 3 Continuous Probability Distribution PM4G gitir
- 090 4 4 Probability Density Function nn4Y gitir
- 092 4 5 Cumulative Distribution Function ybcv gitir
- 093 4 6 Expected Value of Random Variables qTN3 gitir
- 095 4 7 Variance of Random Variables xSja gitir
- 096 4 8 Find Variance from Expected Value kbYd gitir
- 097 4 9 Additivity of Variance IWBW gitir
- 099 4 10 Normal Distribution HiHS gitir
- 100 4 11 Standard Normal Distribution QXrO gitir
- 101 4 12 Standard Normal Distribution Table GA1C gitir
- 102 4 13 Skewness Kurtosis 144x gitir
- 104 4 14 Normal Distribution with Python 4COR gitir
- 105 4 15 Binomial Distribution C16K gitir
- 106 4 16 Expected Value of Binomial Distribution uthW gitir
- 107 4 17 Variance of Binomial Distribution Up2g gitir
- 109 4 18 Binomial Distribution with Python iidG gitir
- 110 4 19 Poisson Distribution oF7c gitir
- 111 4 20 Expected Value of Poisson Distribution 8m2q gitir
- 112 4 21 Variance of Poisson Distribution sb3L gitir
- 113 4 22 Examples of Poisson Distribution OV78 gitir
- 115 4 23 Poisson Distribution with Python ty2c gitir
- 116 4 24 Geometric Distribution gaD1 gitir
- 117 4 25 Expected Value of Geometric Distribution Otmf gitir
- 118 4 26 Variance of Geometric Distribution BdGz gitir
- 120 4 27 Geometric Distribution with Python wE2C gitir
- 121 4 28 Exponential Distribution FXW5 gitir
- 122 4 29 Expected Value of Exponential Distribution B5Zd gitir
- 123 4 30 Variance of Exponential Distribution gCvw gitir
- 124 4 31 Memorylessness 0RLb gitir
- 126 4 32 Exponential Distribution with Python ivBW gitir
- 127 4 33 Discrete Uniform Distribution RDle gitir
- 128 4 34 Continuous Uniform Distribution sP2i gitir
- 130 4 35 Uniform Distribution with Python ZF8J gitir
- 131 4 36 Joint Probability Distribution ONyP gitir
- 132 5 0 Introduction k6HH gitir
- 133 5 1 Population and Sample 29vz gitir
- 134 5 2 Complete Survey and Sampling Survey iGtK gitir
- 136 5 3 Probability Sampling and Non probability Sampling bRWI gitir
- 137 5 4 Probability Sampling Methods GeeU gitir
- 139 5 5 Random Sampling with Python gDsJ gitir
- 140 5 6 Law of Large Numbers Op7u gitir
- 141 5 7 Law of Large Numbers with Python AdMs gitir
- 142 5 8 Central Limit Theorem rFjF gitir
- 144 5 9 Central Limit Theorem with Python xIBw gitir
- 145 5 10 Experimental and Observational Studies gCeS gitir
- 146 5 11 Fishers Principle al0F gitir
- 148 6 0 Introduction wE9e gitir
- 149 6 1 What is Point Estimation MEFg gitir
- 150 6 2 Point Estimation of Population Mean WEej gitir
- 151 6 3 Unbiased Variance 22lG gitir
- 152 6 4 Standard Error 4VI2 gitir
- 154 6 5 Point Estimation by Python 2gCj gitir
- 155 6 6 What is Interval Estimation PoXn gitir
- 156 6 7 Interval Estimation of Population Mean Population Variance Known C3WJ gitir
- 157 6 8 What is 95 Confidence Interval 7Ay1 gitir
- 158 6 9 Sample Size and Confidence Interval xa0D gitir
- 159 6 10 When Population Variance is Unknown t distribution EHQJ gitir
- 160 6 11 Interval Estimation of Population Mean Population Variance Unknown hnor gitir
- 162 6 12 Interval Estimation of Population Mean Difference jgCm gitir
- 163 6 13 Interval Estimation of Population Proportion CLBM gitir
- 164 6 14 Interval Estimation and Minimum Sample Size KnGg gitir
- 165 6 15 Chi Square Distribution MUQN gitir
- 166 6 16 Properties of Chi Square Distribution Oo0U gitir
- 167 6 17 Interval Estimation of Population Variance 5smm gitir
- 169 6 18 Interval Estimation by Python oOaC gitir
- 170 7 0 Introduction iH5u gitir
- 171 7 1 What is Hypothesis Testing CKgq gitir
- 172 7 2 Process of Hypothesis Testing Mj0E gitir
- 174 7 3 Significance Level 8PYt gitir
- 176 7 4 Test Statistic NRhW gitir
- 177 7 5 One and Two Tailed Test 5Bbp gitir
- 178 7 6 Hypothesis Testing for Population Mean 2KF6 gitir
- 179 7 7 Hypothesis Testing for Population Mean with Python 3LZU gitir
- 180 7 8 Exercise Hypothesis Testing for Population Mean SV59 gitir
- 181 7 9 Two Sample t Test 7Nu0 gitir
- 182 7 10 Two Sample t Test Dependent Sample with Python wAkY gitir
- 183 7 11 Exercise Two Sample t Test Dependent Sample EBaJ gitir
- 184 7 12 Two Sample t Test Independent Sample UuDL gitir
- 185 7 13 Two Sample t Test Independent Sample with Python oE2z gitir
- 186 7 14 Exercise Two Sample t Test Independent Sample V79e gitir
- 187 7 15 Hypothesis Testing for Population Proportion li4L gitir
- 188 7 16 Hypothesis Testing for Population Proportion with Python c5dW gitir
- 189 7 17 Exercise Hypothesis Testing for Population Proportion ArB5 gitir
- 190 7 18 Goodness of Fit Test Ys8x gitir
- 191 7 19 Goodness of Fit Test with Python XPhi gitir
- 192 7 20 Exercise Goodness of Fit Test XfA5 gitir
- 193 7 21 Test of Independence TQ21 gitir
- 194 7 22 Test of Independence with Python WliQ gitir
- 195 7 23 Exercise Test of Independence iliF gitir
- 196 7 24 Test of Population Proportion Difference eZt8 gitir
- 197 7 25 Test of Population Proportion Difference with Python NVg3 gitir
- 198 7 26 Exercise Test of Population Proportion Difference iaIT gitir
- 199 8 0 Introduction gj0O gitir
- 200 8 1 Scatter Plot ak4h gitir
- 201 8 2 Correlation NNHE gitir
- 202 8 3 Correlation Coefficient MCO5 gitir
- 203 8 4 Covariance Iv6i gitir
- 204 8 5 Correlation Coefficient Revisited BktY gitir
- 205 8 6 Exercise Correlation Coefficient NEoM gitir
- 206 8 7 Test of Non Correlation lmnc gitir
- 207 8 8 Spurious Correlation mZiO gitir
- 209 8 9 Regression Analysis eLxc gitir
- 210 8 10 Ordinary Least Squares q3PL gitir
- 211 8 11 Ordinary Least Squares Math ajhN gitir
- 212 8 12 The Difference between Correlation and Regression iftu gitir
- 214 8 13 Multiple Regression Analysis INeY gitir
- 215 8 14 Multiple Regression Analysis Math mV0F gitir
- 216 8 15 Assumptions of Linear Regression fenp gitir
- 217 8 16 Hypothesis Testing in Multiple Regression Analysis 6rkI gitir
- 218 8 17 Coefficient of Determination Rhj7 gitir
- 219 8 18 Residual Analysis JD3T gitir
- 220 8 19 Multicollinearity KCJ3 gitir
- 221 8 20 Variance Inflation Factor C8u9 gitir
- 222 8 21 F test nZzh gitir
- 223 8 22 Dummy Variable YRt0 gitir
- 225 8 23 Effect Size 1zcH gitir
- 226 8 24 Statistical Power vsgk gitir
- 227 8 25 Correlation Analysis with Python SZfy gitir
- 228 8 26 Regression Analysis with Python Yj3S gitir
- 229 8 27 Get Dummy Variables with Python NINE gitir
- 230 9 0 Introduction EmDO gitir
- 231 9 1 What is ANOVA YG6V gitir
- 232 9 2 F Test 5qF0 gitir
- 233 9 3 Example F Test LyOK gitir
- 234 9 4 One Way ANOVA 3ksE gitir
- 236 9 5 Tukeys HSD test Xk8g gitir
- 237 9 6 Assumptions in ANOVA bqtB gitir
- 239 9 7 One Way ANOVA with Python 1nwf gitir
- 240 9 8 Two Way ANOVA XSE6 gitir
- 241 9 9 Two Way ANOVA with Python BknE gitir