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Lehrstuhl Rösch - Statistics 1

0_1_Welcome
Daniel Rösch
0_1_Welcome

  GRIPS-Kurs(e)
  91
  00:09:45
0_2_What_is_Statistics
Daniel Rösch
0_2_What_is_Statistics

  GRIPS-Kurs(e)
  37
  00:08:19
0_3_importance_of_statistics
Daniel Rösch
0_3_importance_of_statistics

  GRIPS-Kurs(e)
  33
  00:09:41
0_4_course_structure
Daniel Rösch
0_4_course_structure

  GRIPS-Kurs(e)
  28
  00:03:33
1_1_python
Daniel Rösch
1_1_python

  GRIPS-Kurs(e)
  229
  00:07:13
1_2_statistical_thinking
Daniel Rösch
1_2_statistical_thinking

  GRIPS-Kurs(e)
  72
  00:05:14
1_3_basic_definitions_for_data
Daniel Rösch
1_3_basic_definitions_for_data

  GRIPS-Kurs(e)
  48
  00:16:24
1_4_organizing_data
Daniel Rösch
1_4_organizing_data

  GRIPS-Kurs(e)
  41
  00:10:38
1_5_data_collection_and_preprocessing
Daniel Rösch
1_5_data_collection_and_preprocessing

  GRIPS-Kurs(e)
  41
  00:15:11
2_10_cases
Daniel Rösch
2_10_cases

  GRIPS-Kurs(e)
  6
  00:07:57
2_1_frequencies
Daniel Rösch
2_1_frequencies

  GRIPS-Kurs(e)
  179
  00:23:12
2_2_location_metrics
Daniel Rösch
2_2_location_metrics

  GRIPS-Kurs(e)
  40
  00:13:12
2_3_quantiles
Daniel Rösch
2_3_quantiles

  GRIPS-Kurs(e)
  34
  00:11:21
2_4_Dispersion_Metrics
Daniel Rösch
2_4_Dispersion_Metrics

  GRIPS-Kurs(e)
  114
  00:13:47
2_5_Properties
Daniel Rösch
2_5_Properties

  GRIPS-Kurs(e)
  25
  00:10:47
2_6_skewness_kurtosis_metrics
Daniel Rösch
2_6_skewness_kurtosis_metrics

  GRIPS-Kurs(e)
  25
  00:09:25
2_7_boxplots
Daniel Rösch
2_7_boxplots

  GRIPS-Kurs(e)
  19
  00:05:07
2_8_summarizing_examples
Daniel Rösch
2_8_summarizing_examples

  GRIPS-Kurs(e)
  19
  00:05:18
2_9_wrap_up
Daniel Rösch
2_9_wrap_up

  GRIPS-Kurs(e)
  21
  00:01:48
3_1_joint_frequencies
Daniel Rösch
3_1_joint_frequencies

  GRIPS-Kurs(e)
  118
  00:11:42
3_2_independence_and_association
Daniel Rösch
3_2_independence_and_association

  GRIPS-Kurs(e)
  33
  00:15:20
3_3_covariance_correlation
Daniel Rösch
3_3_covariance_correlation

  GRIPS-Kurs(e)
  29
  00:27:37
3_4_correlation_a_closer_look
Daniel Rösch
3_4_correlation_a_closer_look

  GRIPS-Kurs(e)
  91
  00:10:24
3_5_cases1
Daniel Rösch
3_5_cases1

  GRIPS-Kurs(e)
  26
  00:08:29
3_6_cases2
Daniel Rösch
3_6_cases2

  GRIPS-Kurs(e)
  24
  00:03:41
4_1_inequality_and_concentration
Daniel Rösch
4_1_inequality_and_concentration

  GRIPS-Kurs(e)
  100
  00:06:02
4_2_lorenz_curve
Daniel Rösch
4_2_lorenz_curve

  GRIPS-Kurs(e)
  33
  00:07:43
4_3_gini_coefficient
Daniel Rösch
4_3_gini_coefficient

  GRIPS-Kurs(e)
  31
  00:07:32
4_4_gini_coefficient_manual_calculation
Daniel Rösch
4_4_gini_coefficient_manual_calculation

  GRIPS-Kurs(e)
  27
  00:05:02
4_5_classification_performance
Daniel Rösch
4_5_classification_performance

  GRIPS-Kurs(e)
  25
  00:06:52
4_6_cases
Daniel Rösch
4_6_cases

  GRIPS-Kurs(e)
  23
  00:10:46
5_indices
Daniel Rösch
5_indices

  GRIPS-Kurs(e)
  25
  00:13:29
6_10_example_airbags
Daniel Rösch
6_10_example_airbags

  GRIPS-Kurs(e)
  79
  00:12:10
6_11_example_bertrand
Daniel Rösch
6_11_example_bertrand

  GRIPS-Kurs(e)
  20
  00:04:58
6_12_random_sampling
Daniel Rösch
6_12_random_sampling

  GRIPS-Kurs(e)
  21
  00:17:19
6_1_sets
Daniel Rösch
6_1_sets

  GRIPS-Kurs(e)
  78
  00:12:35
6_2_random_experiments
Daniel Rösch
6_2_random_experiments

  GRIPS-Kurs(e)
  25
  00:06:50
6_3_probability_measure_and_axioms
Daniel Rösch
6_3_probability_measure_and_axioms

  GRIPS-Kurs(e)
  21
  00:06:27
6_4_probability_notions
Daniel Rösch
6_4_probability_notions

  GRIPS-Kurs(e)
  23
  00:13:47
6_5_some_calculation rules
Daniel Rösch
6_5_some_calculation rules

  GRIPS-Kurs(e)
  63
  00:01:31
6_6_conditional_probabilities
Daniel Rösch
6_6_conditional_probabilities

  GRIPS-Kurs(e)
  27
  00:05:06
6_7_stochastic_independence
Daniel Rösch
6_7_stochastic_independence

  GRIPS-Kurs(e)
  20
  00:04:37
6_8_total_probability_and_bayes_rule
Daniel Rösch
6_8_total_probability_and_bayes_rule

  GRIPS-Kurs(e)
  21
  00:08:57
6_9_natural_frequencies
Daniel Rösch
6_9_natural_frequencies

  GRIPS-Kurs(e)
  19
  00:02:23
7_10_exponential_distribution
Daniel Rösch
7_10_exponential_distribution

  GRIPS-Kurs(e)
  17
  00:07:04
7_11_normal_distribution_introduction
Daniel Rösch
7_11_normal_distribution_introduction

  GRIPS-Kurs(e)
  15
  00:11:10
7_12_normal_distribution_example
Daniel Rösch
7_12_normal_distribution_example

  GRIPS-Kurs(e)
  13
  00:09:41
7_13_normal_distribution_python
Daniel Rösch
7_13_normal_distribution_python

  GRIPS-Kurs(e)
  88
  00:09:18
7_14_normal_distribution_and_arithmetic_mean
Daniel Rösch
7_14_normal_distribution_and_arithmetic_mean

  GRIPS-Kurs(e)
  13
  00:03:19
7_15_chi2_t_distributions
Daniel Rösch
7_15_chi2_t_distributions

  GRIPS-Kurs(e)
  13
  00:09:21
7_16_central_limit_theorem
Daniel Rösch
7_16_central_limit_theorem

  GRIPS-Kurs(e)
  11
  00:06:05
7_17_cases
Daniel Rösch
7_17_cases

  GRIPS-Kurs(e)
  11
  00:13:01
7_1_random_variables_definitions
Daniel Rösch
7_1_random_variables_definitions

  GRIPS-Kurs(e)
  74
  00:10:39
7_2_random_variables_characterization_discrete
Daniel Rösch
7_2_random_variables_characterization_discrete

  GRIPS-Kurs(e)
  24
  00:16:31
7_3_random_variables_characterization_continuous
Daniel Rösch
7_3_random_variables_characterization_continuous

  GRIPS-Kurs(e)
  20
  00:14:46
7_4_expectation_variance_stddev
Daniel Rösch
7_4_expectation_variance_stddev

  GRIPS-Kurs(e)
  18
  00:06:41
7_5_expectation_variance_properties
Daniel Rösch
7_5_expectation_variance_properties

  GRIPS-Kurs(e)
  74
  00:04:25
7_6_covariance_correlation
Daniel Rösch
7_6_covariance_correlation

  GRIPS-Kurs(e)
  16
  00:08:06
7_7_bernoulli_binomial_distribution
Daniel Rösch
7_7_bernoulli_binomial_distribution

  GRIPS-Kurs(e)
  17
  00:18:43
7_8_poisson_distribution
Daniel Rösch
7_8_poisson_distribution

  GRIPS-Kurs(e)
  16
  00:06:29
7_9_uniform_distribution
Daniel Rösch
7_9_uniform_distribution

  GRIPS-Kurs(e)
  63
  00:07:23