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- 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 neededHow would I number it on the graph to put the averages on thereWhich of the following statistics is used to compare two variables?a. Meanb. Correlation coefficientc. Varianced. Standard deviation
- Which of the following populations are at HardyWeinberg equilibrium?Population AA Aa aaI 0.25 0.50 0.25II 0.10 0.74 0.16III 0.64 0.27 0.09IV 0.46 0.50 0.04V 0.81 0.18 0.01The 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.Since K = 0.5, the population we are studying is experiencing ________ growth due to density _______ factors. exponential; dependent exponential; independent logistic; dependent logistic; independent
- When a 95% confidence interval is calculated there is a 95% probability that the next measurement will fall within this range. there is a 95% probability that the true value is within this range. there no chance of having false positives within that range. 1) 1, 2, & 3 2) 2 only 3) 2 & 3 4) 1 only 5) 1 & 2What method would you use to estimate the size of the following populations: (give me the answer not an explanation, it should be like 2-3 words, short and simple) Dandelion weeds in a lawn: Butterflies:Using the data below, calculate the correlation: covariance -0.9 standard deviation(x) = 10.5 standard deviation(y) = 10.4 (calculate to 2 significant figures)
- True or False: p + q = 1 is the difference of individuals alleles within a given population that is probably 100%Suppose that you are interested in estimating a population mean. You select a random sample of items, and compute the sample mean and the sample standard deviation. You then compute a 95% confidence interval to be LCL=28.4 - UCL=37.9. So what does that mean? It means that you are 95% confident that the unknown population mean that you are estimating is between the LCL and UCL. So what does that mean? It means that if you were to iterate this sampling process many times, say 100, and calculate 100 confidence intervals, then 95 of those intervals will contain the unknown population mean, and 5 will not. Give me an example of how CI can be used in your work. FYI I work in Endocrinology dept. Specific diabetesWhat is the default setting for confidence level for 23andMe? (Meaning, what percent sure is the company of your results?) A. 50% B. 75% C. 90% D. 100%
