Kesehatan mental vs. kerja jarak jauh

Anda telah menguji apakah ada keterkaitan antara kesediaan membahas isu kesehatan mental dengan atasan langsung, dan apakah anonimitas karyawan akan dilindungi ketika mereka memanfaatkan sumber daya perawatan kesehatan mental yang disediakan oleh pemberi kerja.

Sekarang, Anda akan menguji apakah ada keterkaitan antara kondisi kesehatan mental saat ini, current_condition, dan apakah seorang karyawan bekerja jarak jauh, work_remotely.

pandas dan scipy.stats telah dimuat untuk Anda sebagai pd dan st, masing-masing, serta data survei yang sudah dibersihkan sebagai tech_mh.

Latihan ini adalah bagian dari kursus

Menganalisis Data Survei di Python

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Latihan interaktif praktis

Cobalah latihan ini dengan menyelesaikan kode contoh berikut.

# Perform cross tabulation and assign to variable, cross_table
cross_table = ____

# Conduct chi-square analysis
chi_analysis = ____

print(chi_analysis)

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Latihan ini adalah bagian dari kursus

Menganalisis Data Survei di Python

SkillTag.level.intermediateSkillTag.label

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Mulai Kursus Gratis

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.

Exercise 1: Introducing Survey Data Analysis Exercise 2: Looking at levels of measurements Exercise 3: Crosstabulation Exercise 4: Descriptive and Inferential Statistics Exercise 5: Descriptive statistics Exercise 6: Inferential statistics Exercise 7: Statistical Modeling Techniques Exercise 8: Scatter plot inspection Exercise 9: Choose a statistical method Exercise 10: Sampling technique match

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.

Exercise 1: Random sampling Exercise 2: Random sample of employees Exercise 3: Reproducible random sampling Exercise 4: Stratified Random Sampling Exercise 5: Spread of yes's and no's Exercise 6: Stratified sampling Exercise 7: Weighted sampling Exercise 8: Blog survey Exercise 9: Weighted sampling on handedness Exercise 10: Cluster Sampling Exercise 11: Group clusters Exercise 12: Choosing clusters Exercise 13: Cluster sampling analysis

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.

Exercise 1: Descriptive statistics in survey analysis Exercise 2: Frequency distribution Exercise 3: Measures of variability Exercise 4: Measures of central tendency Exercise 5: Inferential statistics in survey analysis Exercise 6: Visualize data: histogram Exercise 7: Find the z-score Exercise 8: Correlations Exercise 9: Analyze variables with .corr()Exercise 10: Are employees happy?Exercise 11: Fair and square

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.

Exercise 1: Analisis regresi Exercise 2: Membangun model regresi linear Exercise 3: Memvisualisasikan data survei Exercise 4: Perlu tindakan pencegahan keselamatan?Exercise 5: Uji t dua sampel Exercise 6: Apakah perempuan lebih ekstrover?Exercise 7: Uji t dua sampel pada ekstraversi Exercise 8: Uji chi-kuadrat Exercise 9: To chi-square or not to chi-square?Exercise 10: Survei kesehatan mental di bidang teknologi Exercise 11: Kesehatan mental vs. kerja jarak jauh

Latihan Saat Ini

Exercise 12: Selamat