This course will examine the concepts of statistics leading to the application of these concepts to the life sciences. Topics will include populations and samples, random sampling, probabilities, distributions, and confidence intervals.
Interpret the correlation coefficient between two samples.
Explain the use of the F distribution to compare variation in two samples.
Apply inferential statistics to test a claim about population mean and population standard deviation.
Differentiate among the traditional method, the p-value method, and the confidence interval method of testing a claim about a proportion.
Confidence Intervals, Inferences, and Hypothesis Testing
Differentiate between Type I and Type II errors.
Describe hypotheses, hypothesis tests, null hypotheses, alternative hypotheses, test statistics, and significance levels.
Differentiate among the z distribution, the t distribution, and the chi-square distribution.
Interpret a confidence interval for an estimate of population mean and population variance.
Normal Probability Distributions
Describe point estimates, confidence intervals, confidence levels, critical values, and margins of error.
Explain the central limit theorem.
Calculate the probability for a range of values in a normal distribution and in a standard normal distribution.
Describe normal distribution, standard normal distribution, and uniform distribution.
Probabilities and Discrete Probability Distributions
Determine whether a procedure results in a binomial distribution or a Poisson distribution.
Explain absolute risk reduction, relative risk, number needed to treat, odds ratios, and rates.
Distinguish between independent and dependent events.
Calculate probability using the addition rule and the multiplication rule.
Collecting, Organizing, and Summarizing Data
Calculate the mean, median, mode, standard deviation, variance, and z scores for a data set.
Differentiate among scatterplots, histograms, and frequency distributions.
Explain how random sampling is important in collecting statistical data.
Differentiate between populations and samples.
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