In this section we explore the concept of correlation (especially using Pearson’s correlation coefficient) and how to perform one and two sample  hypothesis testing, especially to determine whether the correlation between populations is zero (in which case the populations are independent) or equal. We briefly explore alternative measures of correlation, namely Spearman’s rho and Kendall’s tau, as well as the relationship between the t-test and chi-square test for independence and the correlation between dichotomous variables.


3 Responses to Correlation

  1. farah says:

    hello sir,
    i really hope u will help me with this problem

    i have 19 questions that use likert scale 1-4 (1 never, 2 rarely, 3sometime,4 always)
    between this 19 questions i only choose 6 questions that i can say positive (e.g question 1: do you use seat belt?) to indicate positive practice in driving so do the rest of the question. Moreover this questionnaire doesn’t have total score.

    so now, how can i analyze this data?
    my research question is
    1) there is significant different between good practice and gender
    2) there is significant different between good practice and year of driving(1: 1-2 years, 2: 3-4 years, 3: 5-6 years, 4: 7 years above)

Leave a Reply

Your email address will not be published. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>