1.

A public opinion poll surveyed a simple random sample of 1000 voters. Respondents were classified by gender (male or female) and by voting preference (Republican, Democrat, or Independent). Results are shown in the contingency table below.

	Voting Preferences			Row total
	Republican	Democrat	Independent
Male	200	150	50	400
Female	250	300	50	600
Column total	450	450	100	1000

Requirement

Develop hypothesis

Make decision and Conclude your result  based on the following questions:

Is there a gender gap?

Do the men's voting preferences differ significantly from the women's preferences?

Use a 0.05 level of significance.

2. Correlation testing 

The researches want to test the relationship between academic performance of students, short range planning, time attitude, long range planning and efficiency &effectiveness.  To achieve the objective of the study the researchers have gathered data from 180 students and the result of correlation output is found in the following table.

 

Table correlation analysis results 

				Academic Performance		Short range planning	Time attitude	Long  range planning	Efficiency  &effectiveness
Academic Performance			Pearson Correlation	1		.370**	.422**	.652**	.541**
			Sig. (2-Tailed)			.000	.000	.000	.000
			N	180		180	180	180	180[HI1]
Short Range Planning			Pearson Correlation	.370**		1	.415**	.351**	.038
			Sig. (2-Tailed)	.000			.000	.000	.616
			N	180		180	180	180	180
Time Attitude			Pearson Correlation	.422**		.415**	1	.485**	.060
			Sig. (2-Tailed)	.000		.000		.000	.421
			N	180		180	180	180	180
Long  Range Planning			Pearson Correlation	.652**		.351**	.485**	1	.290**
			Sig. (2-Tailed)	.000		.000	.000		.000
			N	180		180	180	180	180
Efficiency &Effectiveness’			Pearson Correlation	.541**		.038	.060	.290**	1
			Sig. (2-Tailed)	.000		.616	.421	.000
			N	180		180	180	180	180

** Correlation is significant at the 0.01 level (2 tailed).

** Correlation is significant at the 0.05 level (2 tailed).

The table above presents the result of the correlation analysis.

Requirements:

• Develop four hypotheses that show the relationship of two variables depending on the result in the table above.
•  Interpret the relationship of all variables based on above results.

3. Multi regression analysis 

The researches want to test the effects of short range planning, time attitude, long range planning and efficiency&effectiveness of students have effect on their academic performance. To achieve the objective of the study the researchers have gathered data from 180 students and the result of regression output is found in the following table.

Multiple regression Coefficients results
Model		Unstandardized Coefficients		Standardized Coefficients	T	Sig.
		B	Std. Error	Beta
1	(Constant)	-.092	.201		-.458	.648
	Short Range Planning	.142	.049	.155	2.902	.004
	Time Attitude	.106	.046	.132	2.302	.023
	Long  Range Planning	.447	.062	.416	7.164	.000
	Efficiency  &Effectiveness’	.253	.031	.407	8.151	.000
A. Dependent Variable: Academic Performance[HI2] .

Requirements:

• Develop hypotheses that show effects of independent variables on dependent variable based on the result in the table above.
• Make decision and Conclude your result  based on the following questions:

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