Kursinnehåll

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

Explore the Data Set Confidence Interval Calculating Confidence Interval with Python Confidence Interval Width Quiz Calculate 95% Confidence Interval Advanced Confidence Interval Calculation with Python Match the Functions

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Confidence Interval Width Quiz

1. What does a 95% confidence interval mean?

2. How can you calculate a confidence interval for the mean using Python?

3. If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

What does a 95% confidence interval mean?

Select the correct answer

There is a 95% probability that the true population parameter falls within the interval.

The interval represents a 95% chance that the sample mean will fall within the range.

The true population parameter is guaranteed to be within the interval 95% of the time.

If the experiment were repeated many times, 95% of the calculated intervals would contain the true population parameter.

How can you calculate a confidence interval for the mean using Python?

Select the correct answer

Use the mean() function from numpy.

Use the st.norm.interval() function.

Use the np.var() function to calculate the interval.

Use the numpy.percentile() function to estimate the confidence interval.

If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

Select the correct answer

The interval becomes narrower.

The interval becomes wider.

The interval stays the same.

The interval becomes less accurate.

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 5. Kapitel 4

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Kursinnehåll

Learning Statistics with Python

1. Basic Concepts

Sample vs Population Types of Statistics Types of Data Mean Value Median Value Median Value of the Even Number of Values Mean or Median Mode Value Descriptive Statistics Quiz

2. Mean, Median and Mode with Python

Examine the Dataset Calculating Mean and Median Values with Python Statistics with pandas Calculate the Mean and Median Salary

3. Variance and Standard Deviation

Population Variance Sample Variance Calculate Variance with Python Standard Deviation Standard Deviation with Python Calculating Variance and Standard Deviation

4. Covariance vs Correlation

Covariance Correlation Covariance and Correlation Quiz Calculate Covariance and Correlation

5. Confidence Interval

6. Statistical Testing

What is t-test Hypotheses t-test Mathematically One-Tailed And Two-Tailed Test t-test Assumptions Performing a t-test in Python Conduct a t-test Paired t-test

Confidence Interval Width Quiz

1. What does a 95% confidence interval mean?

2. How can you calculate a confidence interval for the mean using Python?

3. If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

What does a 95% confidence interval mean?

Select the correct answer

There is a 95% probability that the true population parameter falls within the interval.

The interval represents a 95% chance that the sample mean will fall within the range.

The true population parameter is guaranteed to be within the interval 95% of the time.

If the experiment were repeated many times, 95% of the calculated intervals would contain the true population parameter.

How can you calculate a confidence interval for the mean using Python?

Select the correct answer

Use the mean() function from numpy.

Use the st.norm.interval() function.

Use the np.var() function to calculate the interval.

Use the numpy.percentile() function to estimate the confidence interval.

If you increase the confidence level (e.g., from 95% to 99%), what happens to the confidence interval?

Select the correct answer

The interval becomes narrower.

The interval becomes wider.

The interval stays the same.

The interval becomes less accurate.

Var allt tydligt?

Hur kan vi förbättra det?

Tack för dina kommentarer!

Avsnitt 5. Kapitel 4