#### SPSS

Question 1 (a) (i) Find the mean and standard deviation of the amount of body fat, triceps skinfold thickness, thigh circumference and midarm circumference. Show the output. (ii) Interpret the output that you produced in part (b)(i). (b) (i) Plot a Histogram and Box-plot by using the amount of body fat variable. (ii) Describe the skewness of the distribution exhibited. (iii) Plot a QQ-plot by using the amount of body fat variable. (iv) By using only the QQ-plot, deduce whether the amount of body fat is normally distributed. Justify your answer. (c) (i) Perform the normality test on the amount of body fat variable and show the output. (ii) State the conclusion of the test. Give your justification.

Question 1 Using the data in Section A to answer this question. (a) Use two sample independent t-test to assess whether there is difference in means of amount of body fat between different genders. (i) State the null and alternative hypothesis. (ii) Show the t-statistics output and identify the value of test statistics. (iii) Find the critical value. (iv) Interpret the result using (ii) and (iii). (v) Identify the p value from the output in (ii). (vi) Interpret the result using (v). (vii) Draw conclusion based on (iv) and (vi). (viii) Identify the confidence interval based on the output. (b) The researcher wants to identify the quantitative variables which are significant predictors (root causes) of amount of body fat. Carry out hypothesis test using multiple linear regression. Your SPSS analysis result outputs, interpretation and conclusion should cover: Model Summary, ANOVA table and Coefficient of Regression table. (i) For model summary: Show your SPSS outputs; Interpret the meaning of R-square. (ii) For ANOVA table: Show your SPSS outputs; Write down the relevant hypotheses; State the conclusion to make. (iii) For Coefficient of Regression table: Show your SPSS outputs; Write down the respective hypotheses; State the respective conclusion to make. (iv) From your SPSS results obtained in part (a), rank in order of importance the three causes of amount of body fat.

(a) Briefly discuss one-way Analysis of Variance (ANOVA). (b) Obtain the mean for each technique and ANOVA table output using SPSS. (c) Test whether the effectiveness of these techniques is different. Use level of significance of 1%. (d) Briefly discuss the implication of the result in part (c).

I recently went around with a friend at a convention and asked 150 random people one of two questions. I either asked them if they would believe that half of the people in Maryland smoke marijuana OR if they would believe that 58.6% of people in Maryland smoke marijuana. Using the differences in the presentation of the information to our populous, determine if people are more likely to believe data that is more specific, or that is general based.

When should you use a two-way chi-square test to analyze data? When should you use an independent t-test to analyze data? Outline an example of a study that would use a two-way chi-square design and explain why this is the right test.

Correlation Application and Interpretation Complete an SPSS data analysis report to analyze correlation for assigned variables.

SPSS Data Entry, Data Dictionary, Frequency Procedure Assignment Overview The public health professional should have a basic understanding and familiarity with statistical and analytic software. Correct data entry and variable naming and labeling are crucial aspects of data management and analysis.