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  3. Analyzing Survey Data in Python
  • 1

    Why Analyze Survey Data & When to Apply Statistical Tools

    Free

    What is survey data, and how do we determine which statistical test to use to analyze the data? To answer this, you’ll be able to define all sorts of survey data types, encounter important concepts like descriptive and inferential statistics, and visualize survey data to determine the appropriate statistical modeling technique needed. In doing so, you will know how to best qualitatively and quantitatively define the trends and insights you come across in surveys.

  • 2

    Sampling and Weighting

    In this chapter, you’ll learn the different ways of creating sample survey data out of population survey data by analyzing the parameters by which the survey data was taken.

  • 3

    Descriptive & Inferential Statistics

    Now it’s time to understand the difference between descriptive and inferential statistics concerning survey data analysis with some real-life examples. Through hands-on exercises, you’ll further interpret the meaning of different variables, key measures such as central tendency and zscore, and interpret results for actionable steps.

  • 4

    Statistical Modeling

    Last but not least, it’s time to apply statistical modeling to survey data analysis with regression analysis, the two-sample t-test, chi-square test, and interpret the assumptions associated with these tests.

Initializing

Exercise

Measures of variability

After studying the frequency distribution of respondents, you, as a researcher, want to analyze the survey some more. Remember, the survey, dietary_habits asked participants their age group, Age, gender, Gender, how many meals they had in a day, meals_per_day, and how many times a week they ordered in or ate out, eat_out_per_wk.

In this exercise, you will calculate the variability for each category in the survey data.

pandas as been loaded for you as pd.

Instructions

100 XP
  • Find the range of meals eaten out or ordered.
  • Find the standard deviation of meals eaten out or ordered.