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Can you please help me develop a research question using gender and another categorical variable associated to adhd that could be address using the chi-square method?

Specify the independent and dependent variables that would be studied along with the research question, the statistical null and alternative hypotheses, an explanation of why the test is appropriate, and why a parametric procedure, such as correlation or ANOVA, would not be appropriate. Also could you please note the measure of effect size that would be used and an explanation of what it would tell you?

Thank you so much.

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Solution Summary

The expert examines Chi Square testing for researching the gender gap.

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1) Research question:
We want to study whether ADHD and gender are related to each other.
2) Independent and dependent variables
Independent variable: Gender
Dependent variable: Those who have ADHD
3) Null and alternative hypotheses
Null hypothesis H0: ADHD and gender are independent
Alternative hypothesis Ha: ADHD and gender are not independent.
4) Why is the Chi-squared test appropriate?
Since the research question is to test whether or not the two variables are independent (or not related) each other, the Chi-squared test is ...

Solution provided by:
Changping Wang, MA
Education
  • BSc , Wuhan Univ. China
  • MA, Shandong Univ.
Recent Feedback
  • "Your solution, looks excellent. I recognize things from previous chapters. I have seen the standard deviation formula you used to get 5.154. I do understand the Central Limit Theorem needs the sample size (n) to be greater than 30, we have 100. I do understand the sample mean(s) of the population will follow a normal distribution, and that CLT states the sample mean of population is the population (mean), we have 143.74. But when and WHY do we use the standard deviation formula where you got 5.154. WHEN & Why use standard deviation of the sample mean. I don't understand, why don't we simply use the "100" I understand that standard deviation is the square root of variance. I do understand that the variance is the square of the differences of each sample data value minus the mean. But somehow, why not use 100, why use standard deviation of sample mean? Please help explain."
  • "excellent work"
  • "Thank you so much for all of your help!!! I will be posting another assignment. Please let me know (once posted), if the credits I'm offering is enough or you ! Thanks again!"
  • "Thank you"
  • "Thank you very much for your valuable time and assistance!"
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