Hlt 362 v statistics Study guides, Class notes & Summaries

HLT 362 V GCU QUIZ 1 Questions And Answers {Latest Version }

1. When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of: o Descriptive statistics o Demographics o Inferential statistics o Dependent variables 2. If a study is comparing number of falls by age, age is considered what type of variable? o Interval o Ordinal o Ratio o Nominal 3. Validity is: o A data item, such as characteristics, numbers, properties, or quantities, that can be measured or ...

HLT 362 V GCU QUIZ 1

HLT 362 V GCU QUIZ 1

HLT 362 V GCU QUIZ 1

HLT 362 V GCU Quiz 1 1. When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of: • Descriptive statistics • Demographics • Inferential statistics • Dependent variables 2. If a study is comparing number of falls by age, age is considered what type of variable? ◦ Interval ◦ Ordinal ◦ Ratio ◦ Nominal 3. Validity is...

HLT 362 V GCU QUIZ 1

HLT362v Date 1/14/17 Section EXERCISE 33 Calculating Analysis of Variance (ANOVA) and Post Hoc Analyses Following ANOVA 1. Do the data meet criteria for homogeneity of variance? Provide a rationale for your answer. When doing a Leven’s test, you test the equal variances assumption. The p value of hours worked post treatment = 0.455. This indicate that there is not any significant differences between the three groups variances. Therefore the data does not meet the criteria for h...

If you are conducting a study on the impacts of diet and exercise on high blood pressure and you take a proportional sample based upon race/ethnicity, this would be an example of: Simple random sample Cluster sampling Stratified sampling Convenience sampling If a researcher does not select the appropriate level of significance (alpha) based upon prior research or industry standard and concludes that the study found a statistical difference when in fact there was no difference, this is referred t...

If you are conducting a study on the impacts of diet and exercise on high blood pressure and you take a proportional sample based upon race/ethnicity, this would be an example of: Simple random sample Cluster sampling Stratified sampling Convenience sampling If a researcher does not select the appropriate level of significance (alpha) based upon prior research or industry standard and concludes that the study found a statistical difference when in fact there was no d...