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Learning Statistics with Python
course content

Course Content

Learning Statistics with Python

Learning Statistics with Python

1. Basic Concepts
Sample vs PopulationTypes of StatisticsTypes of DataMean ValueMedian ValueMedian Value of the Even Number of ValuesMean or MedianMode ValueDescriptive Statistics Quiz
2. Mean, Median and Mode with Python
Examine the DatasetCalculating Mean and Median Values with PythonStatistics with pandasCalculate the Mean and Median Salary
3. Variance and Standard Deviation
Population VarianceSample VarianceCalculate Variance with PythonStandard deviationStandard Deviation with PythonCalculating Variance and Standard Deviation
4. Covariance vs Correlation
CovarianceCorrelationSelect All Possible ValuesCalculate Covariance and Correlation
5. Confidence Interval
Explore the Data SetConfidence IntervalCalculating Confidence Interval with PythonConfidence Interval Width QuizCalculate 95% Confidence IntervalAdvanced Confidence Interval Calculation with PythonMatch the Functions
6. Statistical Testing
What is t-testHypothesest-test MathematicallyOne-Tailed And Two-Tailed Testt-test AssumptionsPerforming a t-test in PythonConduct a t-testPaired t-test

Calculate 95% Confidence Interval

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 5. Chapter 5
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Calculate 95% Confidence Interval

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Section 5. Chapter 5
toggle bottom row

Calculate 95% Confidence Interval

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Task

Your task here is to calculate the interval that includes the mean weight of the penguin with a confidence level of 95%. Follow the algorithm:

  1. Extract the column 'mass' from the dataset data.
  2. Find the confidence interval with the following parameters:
    • Set 0.95 for the confidence parameter;
    • Set the standard error of the mean of the column mean_list for the scale parameter.

Switch to desktop for real-world practiceContinue from where you are using one of the options below
Section 5. Chapter 5
Switch to desktop for real-world practiceContinue from where you are using one of the options below
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