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Statistics 311
J. McLean Sloughter
Midterm Exam review list
Ch. 1
Population vs. sample
Representative sample
Parameter vs. statistic
Types of data
Quantitative, qualitative, discrete, continuous, nominal, ordinal, interval, ratio
Loaded questions
Nonresponse
Missing data
Correlation vs. causation
Observational study vs. experiment
Cross-sectional, retrospective, prospective
Confounding
Blinding
Double-blinding
Randomization
Random sample vs. simple random sample vs. probability sample
Systematic sampling
Convenience sampling
Stratified sampling
Cluster sampling
Multistage sampling
Ch. 2
Characteristics of data – center, variation, distribution, outliers, time
Frequency distribution
Histogram
Relative frequency
Cumulative frequency
Bar graph / pareto chart
Pie chart
Scatterplot
Time-series graph
Ch. 3
Mean
Median
Mean vs. median in skewed data
Range
Standard deviation
Empirical rule
z-score
quartiles
percentiles
boxplot
Ch. 4
Event
Simple event
Sample space
Probability
Complement
Addition rule
Multiplication rule
Disjoint
Mutually exclusive
Conditional probability
Tree diagram
With replacement vs. without replacement
Bayes’ theorem
Simulations
Fundamental counting rule
Factorial
Permutations
Combinations
Ch. 5
Random variable
Probability distribution
Discrete vs. continuous random variable
Mean/expected value & standard deviation for a probability distribution
Identifying unusual events
Binomial distribution
requirements for a binomial
binomial probability formula
mean & standard deviation for a binomial
Poisson distribution
Requirements for a Poisson
Poisson probability formula
Mean & standard deviation for a Poisson
Identifying Poisson vs. binomial
Ch. 6
Normal distribution
Uniform distribution
Standard normal distribution
Density curve
Finding probabilities from z-scores
Finding z-scores
Changing z-scores into values
Using a normal distribution to find percentiles
Sampling distributions
Central limit theorem
Sampling distribution of sample means
Normal approximation to the binomial
Continuity correction
[STOP HERE]
Ch. 7
Point estimate
Confidence interval
Confidence level
Margin of error
Confidence intervals for proportions
Sample size calculation for proportions
Confidence intervals for means
Known standard deviation versus unknown standard deviation
Sample size calculation for means
Student t distribution
Degrees of freedom
Confidence interval for standard deviation
Chi-square distribution
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