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In what ways did you find the population simulator helpful/not helpful? Give two reasons.
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- The following statements are either true or false. Indicate true or false and justify your answer briefly. An unbiased estimator is said to be consistent if the difference between the estimator and the population parameter grows smaller as the sample size grows larger. An unbiased estimator is a sample statistic whose expected value equals the population parameter. Knowing that an estimator is unbiased neither assures us that its expected value equals the population parameter, nor does it tell us how close the estimator is to the population parameter. A specific confidence interval obtained from sample data will always correctly estimate the population parameter.Briefly explain the rationale for deciding on sample size for a population study. Identify Three probability sampling techniques that may be employed for data collection purposes and write briefly on any one of your choice.why is the mixed method a better methodology for research such as finding health disparities in a certain health issue?
- Total Area (A) = 1,600,000 m2 (160 ha). w = 75 m L = 700 m Area of transect = 2wL Count all of the animals in Fig. 4.17 and comment on the accuracy of the three population estimates you have obtained. Suggest two reasons why some animals within the transects may be overlooked in a field study of this type. Suggest some advantages and disadvantages of conducting a transect count from a vehicle confined to travelling on roads.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.why is it important to use tables to population Data analysis?
- I am testing the prediction that locations with a higher abundance of seeds will have more ant species coexisting there. I am studying many different locations with many different values of seed abundance. What kind of statistical test would be best for testing my prediction? Chi-square ANOVA RegressionWhy is variable operationalization important? Select all that apply. It allows you to confirm that a valid measurement approach was used. It allows you to calculate appropriate descriptive statistics. It allows others to measure a construct in the same way that you did. It allows you to determine the appropriate statistical tests (i.e., inferential statistics).Using a chi-square analysis attached below, determine whether the following population is under Hardy-Weinberg equilibrium
- What are some limitations or potential problems with each of the following methods of estimating population size? Quadrat/random sampling: Mark and recapture:I have a large number for my standard deviation. What does this tell me about the variability in my data? Select one: the variability is just right the variability is low the variability is high more data is neededNeed help Discuss the differences between the equilibrium and non-equilibrium views of populations.
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