Statistical analysis

For each description of a research question below, select the one corresponding statistical analysis technique most appropriate for addressing that research question.A:Survey of 1000 people in a large community to see if the percentage of people in the community who live in a mobile home is more than 10 percent.1. One-sample Z-test for a population proportion2. Two-sample t-test for the comparison of two population means3. Two-sample Z-test for the comparison of two population proportions4. ANOVA for comparing many population means 5. Chi-squared test of goodness of fit6. Simple linear regression7. One-sample t-test for a population mean8. Paired t-test for a population mean difference9. Chi-squared test of independence10. Chi-squared test of goodness of fit11. Chi-squared test of homogeneityB:A polling org surveys 1000 people in a large community to see if the avg number of hours that people watch television is more than 5 hours/day. 1. One-sample Z-test for a population proportion2. Two-sample t-test for the comparison of two population means3. Two-sample Z-test for the comparison of two population proportions4. ANOVA for comparing many population means 5. Chi-squared test of goodness of fit6. Simple linear regression7. One-sample t-test for a population mean8. Paired t-test for a population mean difference9. Chi-squared test of independence10. Chi-squared test of goodness of fit11. Chi-squared test of homogeneityC:The polling organization surveys 1200 adults, records their age in years and how many hours they usually spend watching TV per day, to see if there is a significant relationship between age & hours of daily TV viewing. 1. One-sample Z-test for a population proportion2. Two-sample t-test for the comparison of two population means3. Two-sample Z-test for the comparison of two population proportions4. ANOVA for comparing many population means 5. Chi-squared test of goodness of fit6. Simple linear regression7. One-sample t-test for a population mean8. Paired t-test for a population mean difference9. Chi-squared test of independence10. Chi-squared test of goodness of fit11. Chi-squared test of homogeneityD:The polling organization polls people on a regular basis to view their changing confidence in the economy. The organization creates a numerical index from 0 to 100 of confidence in the economy from answers to a survey. Based on a random sample of people who were polled both in 2011 & again in 2012, the organization will assess if confidence in the economy changed from 2011-2012 on average.1. One-sample Z-test for a population proportion2. Two-sample t-test for the comparison of two population means3. Two-sample Z-test for the comparison of two population proportions4. ANOVA for comparing many population means 5. Chi-squared test of goodness of fit6. Simple linear regression7. One-sample t-test for a population mean8. Paired t-test for a population mean difference9. Chi-squared test of independence10. Chi-squared test of goodness of fit11. Chi-squared test of homogeneityE:The polling organization holds a survey of adults between the ages of 30 -50 yrs old to see if there is an association between marital status (married, divorced or never married) and smoking status (smoker or non-smoker). 1. One-sample Z-test for a population proportion2. Two-sample t-test for the comparison of two population means3. Two-sample Z-test for the comparison of two population proportions4. ANOVA for comparing many population means 5. Chi-squared test of goodness of fit6. Simple linear regression7. One-sample t-test for a population mean8. Paired t-test for a population mean difference9. Chi-squared test of independence10. Chi-squared test of goodness of fit11. Chi-squared test of homogeneityFor each description of a research question below, select the one corresponding statistical analysis technique most appropriate for addressing that research question.A:Survey of 1000 people in a…

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