📚 The video provides a manual method for calculating chi-square (kai kuadrat) to analyze data using a nonparametric test called the chi-square test.

🔎 The focus of the video is on the chi-square test of independence (kai square) to determine the relationship or association between two categorical variables.

🧮 Before conducting the chi-square analysis, certain assumptions need to be checked, including the measurement scale of the variables and the absence of cells with zero frequencies.

📊 Chi-square calculation involves creating a contingency table.

🔍 The contingency table shows the association between two variables.

🧮 The chi-square test compares observed and expected frequencies.

🔍 Chi-square is a manual calculation method used to analyze data.

🧮 The frequency of each group is important to calculate the expected frequency.

⚠️ If any cell has an expected frequency less than 5, the analysis cannot be performed.

Chi-square (Kai Kuadrat) is a manual method of calculation.

The formula for calculating Chi-square involves the values from a contingency table.

Degrees of freedom can be determined using a specific formula.

🔍 Understanding the calculation of Chi Square (Kai Kuadrat) manually.

🔢 The process of creating a contingency table and calculating observed and expected frequencies.

✨ Determining the Chi Square value by subtracting observed frequencies from expected frequencies and squaring the result.

⚡ Chi-square (χ²) is a statistical test used to determine the association between two categorical variables.

📊 The chi-square test is performed by comparing the observed frequencies with the expected frequencies.

💻 The chi-square statistic is calculated by summing the squared differences between the observed and expected frequencies.

The video explains how to manually calculate Chi Square (Kai Kuadrat).

The speaker demonstrates the calculations step-by-step using a specific example.

The conclusion is that there is a significant association between academic level and knowledge level.