Part D

Your research team decided to use an online survey to select a sample of 30 respondents from HKMU students. The fear of coronavirus was measured with a seven-point scale.

With the data collected, Dr Tian ran a t-test to see if there was a significant difference in the mean of fear of coronavirus between male and female students. The relevant SPSS output is shown below.

SPSS Output

Group Statistics
	Sample	N	Mean	Std. Deviation	Std. Error Mean
Fear of coronavirus	Female	15	4.60	1.595	.412
Male	15	3.60	.986	.254

Independent Samples Test
	Levene's Test for Equality of Variances	t-test for Equality of Means
F	Sig.	t	df	Sig. (2-tailed)	Mean Difference	Std. Error Difference	95% Confidence Interval of the Difference
Lower	Upper
Fear of coronavirus	Equal variances assumed	5.33	.0w	2.066	28	.049	1.000	.484	.009	1.991
Equal variances not assumed			2.066	23.334	.051	1.000	.484	-.001	2.001

w is 5

• Interpret the t-test result and explain whether there is a significant gender difference
• Based on the result and the choice of your X and Y, suggest possible ways to reduce the anxiety due to the fear of coronavirus. Additionally, indicate how other variables that you have included in the questionnaire could be useful to Dr Tian's analysis