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Choose Test A: Independent-Samples T Test
- And put the variables like this:
- A1=X3
- A2=X1
- A3=1
- A4=2
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Choose Test B = Paired Samples T test
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The company is curious to know whether the gender difference would influence the decision to select local or international business trip. To answer this question, researchers have conducted a Chi-Square test. Answer the following sub-questions based on the SPSS output(See attached file).
1. Identify dependent and independent variable (5 points).
2. What are the null hypothesis (H0) and the alternative hypothesis (HA) for this research problem? (5 points)
3. Based on the SPSS results, do you reject or fail to reject the H0? Explain why (5 points).
1. Dependent variable: Business trips Independent variable: Gender
- 2. Null hypothesis (H0): The gender difference will not influence the decision to select local or international business trip
- Alternative hypothesis (HA): The gender difference will influence the decision to select local or international business trip
3. Based on the SPSS results we can see that there is a small differences in the gender when it comes to select local or international business trip. 46,2% of the variable male selects international compare to 53,8 for female. The sig. value is 0.731 so I fail to reject the H0
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A science teacher wanted to investigate what was the best predictor of her students’ science exam score. Data was collected for ten students; this include their study time for the exam (mean hours per week, over three weeks), intelligence (measured using a standard test), hours attended in class over the last year and their examination marks for other core subjects, maths and literacy.
The variables are presented below:
X1: Study time.
X2: Science exam score.
X3: Intelligence.
X4: Maths exam score.
X5: Class attendance.
X6: Literacy exam score.
Fill out the SPSS dialogue box (29-A and 29-B) that will produce the statistical results relevant to this research objective (6 points). See the attached file.
- 29A= X2
- 29B= X1, X3, X4, X5, X6
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Researchers conducted a multiple regression analysis to answer the research question presented in the previous question.
The multiple correlation coefficient (r=0.959) shows that the independent varaibles together account for 95.9 per cent of the changes in the dependent variable.
A) True
B) False
B) False
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The value of F = 9.279; and p<0.05, indicate that the independent variables explain a significant amount of the changes in the dependent variable.
A) True
B) False
A) True
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The intercept of the regression line is negative and insignificant
A) True
B) False
A) True
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Study time and intelligence score have a significant positive effect on dependent variable
A) True
B) False
B) False
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Class attendance and literacy exam score have a significant negative effect on dependent variable.
A) True
B) False
B) False
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The co-efficient of the ‘Maths exam score’ is significant (p <0.05) and indicates that when Maths exam score will increase by one unit, dependent variable will increase by 0.884.
A) True
B) False
A) True
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The tests for normality indicate that all independent variables are normally distributed.
A) True
B) False
B) False
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