Statistical Aid: A School of Statistics
Learn Statistics and Data Analysis Intuitively!
Chi-square association test is one of the most popular association test by which we can find the association between two variables. Spss is a simple data analytics tool by which we can easily perform the chi-square test. Procedure To find the association between two random variables we have to follow the following procedure- Input … Read more
To find the correlation between two variables we have to follow the following procedure- Input your data on SPSS Select the two required variable Go to: Analyze→ correlate →Bivariates. Insert the required variables in the variable box. Select “Pearson” from the correlation coefficient box. Also, select one-tailed or two-tailed from the test of significance box. … Read more
Univariate analysis is one of the most fundamental statistical methods used to analyze a single variable. It is an essential technique for summarizing and understanding the distribution, central tendency, and variability of data. With powerful tools like SPSS (Statistical Package for the Social Sciences), performing univariate analysis has become more accessible and efficient. In this … Read more
Bivariate analysis is the analysis of two variables and finds their association. For bivariate analysis we mainly use crosstabs and we use the Chi-Square test to show the association. From the Chi-Square table, we interpret the p-values as followings- A small p-value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, so we reject the … Read more
Variable transformation is a crucial step in data analysis, allowing researchers to modify data to meet statistical assumptions, improve interpretability, and enhance model performance. In SPSS (Statistical Package for the Social Sciences), variable transformation is a fundamental feature that enables users to manipulate data efficiently. This article explores the importance, types, and step-by-step procedures for … Read more
Merge files in SPSS (Statistical Package for the Social Sciences) is a common task for researchers and data analysts who work with multiple datasets. Combining files allows you to consolidate data from various sources into a single dataset for easier analysis and reporting. This guide provides a detailed, overview of how to merge files in … Read more
Missing values are the value of observation which is missed from the data set. In this time we can not perform analysis using this data set. To solve this problem we replace the missing values using the mean or median of all the existing values. In this video, we show you how to find and … Read more
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