This term refers to the extent to which a study population represents the population at large to which you wish to extrapolate your results: Internal Validity External Validity Reliability Specificity None of the above
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- Choose a public health problem: Maternal health among African American You decide you want to research this problem! Please come up with a research question to guide a research study addressing the problem you have chose. In your own words, guide me through the nine specific steps you would take to develop your study (The nine step research process are: what population, develop the research question, observational or experimental studies, what research design is best, pick your variables and measurements carefully, decide on a sampling technique, implement with fidelity, analyze the data, and disseminate the findings.)Which of the following statements is true of the relationship between sample sizes and effect sizes? The larger the true difference, the larger the sample size required to demonstrate superiority Small studies that ask the same research question are more likely to vary in their estimate of the between-group difference than large studies There is no relationship between effect size and sample size The bigger the expected effect, the bigger the required sample sizeThe absolute fitnesses of the three genotypes in a two-allele system are given as follows: Genotype Absolute Fitness AA 0.08654 Aa 0.32143 aa 0.01662 What is the strength of selection against (i.e., the selection coefficient of) the Aa genotype? (Numerical answer; please do you all your work with at least 5 digits of precision)
- Anthony was interested in the height of athletes participating in the 2012 Olympics, so he collected data on all of the athletes that participated in the Olympics in 2012. His results indicated that the average height of an Olympian was 6 feet tall with a standard deviation of 0.5 feet. The average height and standard deviation calculated by Anthony is an example of: Sample Statistics Sample Parameters Population Statistics Population ParametersRead the research article added here and answer the question: 1. Looking at the relationship between conception risk status and shirt color, what type of study is it (correlational, quasi-experimental, experimental)? Group of answer choices A. Quasi-experimental and experimental B. Quasi-experimental C. Correlational D. ExperimentalWhat are some limitations or potential problems with each of the following methods of estimating population size? Quadrat/random sampling: Mark and recapture:
- Which statement describes a difference between sample standard deviation (SD) and the standard error of the mean (SEM)? OSD measures how data points differ from the sample mean. SEM measures how the sample mean differs from the population mean. OSD describes a unitless value but SEM has the same units as the data. The value of SD is always smaller than the value of SEM for any sample population. O Studies that include more sample measurements have lower values of SD. SEM does not change when the sample size increases.How did they do the research?