Hlt 362v week 3 - Study guides, Class notes & Summaries

HLT-362V GCU QUIZ 2 week 3 Grand Caynon University HLT-362V Week 3 Quiz 2 1. 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: Stratified sampling 2. 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 di...

HLT-362V GCU QUIZ 2 week 3 Grand Caynon University HLT-362V Week 3 Quiz 2 1. 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: Stratified sampling 2. 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 di...

HLT-362V GCU QUIZ 2 week 3 Questions with verified Solutions Grand Caynon University HLT-362V Week 3 Quiz 2 1. 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: Stratified sampling 2. 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 diffe...

HLT-362V GCU QUIZ 2 week 3

HLT-362V GCU QUIZ 2 week 3 Grand Caynon University HLT-362V Week 3 Quiz 2 1. 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: Stratified sampling 2. 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 di...

HLT-362V GCU QUIZ week 1 Grand Canyon University HLT-362V Quiz 1 (week 1 quiz) 1. When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of: Inferential statistics 2. If a study is comparing number of falls by age, age is considered what type of variable? Ratio 3. Validity is: The extent to which an idea or measurement is well-founded and an accurate representation of the real world. 4. Data is defined as: Raw unorga...

HLT-362V GCU QUIZ week 1 Grand Canyon University HLT-362V Quiz 1 (week 1 quiz) 1. When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of: Inferential statistics 2. If a study is comparing number of falls by age, age is considered what type of variable? Ratio 3. Validity is: The extent to which an idea or measurement is well-founded and an accurate representation of the real world.

HLT-362V Statistics for Nursing Research: Week 3 Questions A Workbook for EvidenceBased Practice. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable?

HLT-362V Statistics for Nursing Research: Week 3 Questions A Workbook for EvidenceBased Practice. If calculating by hand, draw the frequency distributions of the dependent variable, wages earned. What is the shape of the distribution? If using SPSS, what is the result of the Shapiro-Wilk test of normality for the dependent variable?

HLT-362V GCU QUIZ week 1 Grand Canyon University HLT-362V Quiz 1 (week 1 quiz) 1. When a researcher uses a random sample of 400 to make conclusions about a larger population, this is an example of: Inferential statistics 2. If a study is comparing number of falls by age, age is considered what type of variable? Ratio 3. Validity is: The extent to which an idea or measurement is well-founded and an accurate representation of the real world. 4. Data is defined as: Raw unorga...