1. Is there an association between gender and concerns about data privacy? A sample was collected from 800 teenage students and the table of observed frequency, expected frequency and chi square contributions are provided below.

a. Calculate the Expected frequency and the Chi-square contribution for Boy and More concerned (indicated with question marks in the tables below) and perform Chi-square analysis to answer the question above at 5% level. (10 marks)

b. What will be your conclusion if the significance level is now 1%? (2 marks)

OBSERVED Frequency
	More concerned	Less concerned	TOTAL
Boy	185	220	405
Girl	213	182	395
TOTAL	398	402	800

EXPECTED Frequency
	More concerned	Less concerned	TOTAL
Boy	?		405
Girl			395
TOTAL	398	402	800

Chi-Square Contribution
	More concerned	Less concerned	TOTAL
Boy	?	1.34	2.68
Girl	1.38	1.37	2.75
TOTAL	2.73	2.71	5.44

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2. Summary statistics and computer output of ANOVA is provided below. Fill in the three missing values (with question marks) in the ANOVA table (df for Groups, df for Error, and the F-Statistic) and perform a ANOVA analysis to test whether there is a difference in sold price ($'000) among three different suburbs in North West of Sydney (Kellyville, Baulkham Hills and Castle Hill) at 5% level. Check the assumptions to obtain full marks. (12 marks).

Statistic	Kellyville	Baulkham Hills	Castle hill	Overall
Sample size	68	91	108	267
Mean	1220.9	1045.6	1287	1187.9
Standard deviation	317.5	260	342.7	326.7
ANOVA table
	Df	SS	MS	F
Groups	?	2978522.6	1489261.3	?
Error	?	25410139.1	95250.5
Total	266	28388661.7

Answer text