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Data Basics
$200This term refers to the entire group about which a researcher wants to draw conclusions.
$400This type of variable takes numerical values where arithmetic operations make sense.
$600This visual display uses vertical bars to show the frequency distribution of a quantitative variable.
$800This measure of center is highly sensitive to extreme outliers.
$1000This rule states that for a normal distribution, about 99.7 percent of observations fall within three standard deviations of the mean.
Study Design
$200This is the process of using a chance process to assign experimental units to treatments.
$400This is a study where the researcher observes individuals but does not attempt to influence the responses.
$600This type of sample is obtained by using a chance process to select individuals from the population.
$800This design controls for a specific variable by grouping similar units before assigning treatments.
$1000This occurs when an outside variable influences both the explanatory and response variables.
Probability Basics
$200This describes the collection of all possible outcomes of a chance process.
$400Two events are considered this if they cannot happen at the same time.
$600This is the probability of event A occurring given that event B has occurred.
$800This distribution lists the possible values of a random variable along with their associated probabilities.
$1000This principle states that the long-run relative frequency of an event gets closer to the true probability as trials increase.
Sampling Distributions
$200This value describes a parameter that is estimated from sample data.
$400This refers to the variability of a statistic from sample to sample.
$600This describes the distribution of values taken by a statistic in all possible samples of the same size.
$800This condition must be met to use the normal approximation for the sampling distribution of a proportion.
$1000This theorem states that the sampling distribution of the sample mean becomes normal as sample size increases.
Inference Basics
$200This is a claim about a population parameter that is assumed to be true until proven otherwise.
$400This is the probability of observing a result at least as extreme as the one obtained, assuming the null is true.
$600This type of error occurs when a true null hypothesis is rejected.
$800This range of values is used to estimate a population parameter with a certain level of confidence.
$1000This represents the maximum expected difference between the sample statistic and the population parameter.
Regression Analysis
$200This plot displays the relationship between two quantitative variables.
$400This statistic measures the strength and direction of a linear relationship.
$600This line is chosen to minimize the sum of the squared vertical distances from the data points.
$800This is the difference between an observed y-value and the value predicted by the regression line.
$1000This value, denoted as r-squared, measures the proportion of variation in y explained by the regression model.