Probability, Binomial, Poisson, Normal, and Sampling Distributions

Question Answer Elemental Properties of Probability P(Ei)>0; all events must have a probability greater than or equal to 0 of occurring. Can't be higher than 1. Elemental Properties of Probability The sum of the probabilities of all mutually exclusive outcomes is equal to 1. P(E1)+{(E2)+…+p(En)= 1 Elemental Properties of Probability For any two mutually exclusive …

probabilities ch 4

Question Answer Probability Experiment Process which leads to well-defined results call outcomes Outcome The result of a single trial of a probability experiment Sample Space Set of all possible outcomes of a probability experiment Event One or more outcomes of a probability experiment Classical Probability Uses the sample space to determine the numerical probability that …

Mid Term

Question Answer Research Design An overall set of procedures for evaluating the effect OF an independent variable ON a dependent variable. hypothesis A testable statement about the empirical relationship between cause and effect. (it tells us what we should find when we look at the data) variable An empirical measurement of a characteristic. dependent variable …

Understanding the Normal Probability Distribution

Question Answer The total area under a Normal curve (or any probability distribution curve) equals what value? The total area under a Normal Curve (or any probability distribution)is 1. For X, a normally distributed random variable, the area under the curve for a specified interval may be interpreted in what two ways? 1) The proportion …

Nummerically Summarizing Data

Question Answer Name three measures of the central tendency of data. Three measures of the central tendency of data are: mean, median, and mode. How do you calculate the arithmetic mean (mean) of a variable? The arithmetic mean (mean) of a variable is computed by finding the sum of all the values of the variable …

terms for midterm

Question Answer statistical term in which a number can be taken to represent the center of a distribution Central Tendency an estimate of a population value in which a range of values is specified Confidence Interval an alternative way to express alpha. The probability that a confidence will contain the population value (90%, 95%,99%) Confidence …

WGU TBA4 Statistics

Question Answer discrete result when the number of possible values is either a finite number or a countable number continuous result from infinitely many possible values that correspond to some continuous scale that covers a range of values without gaps, interruptions or jumps parameter a numerical measurement describing some characteristic of a population statistic a …

Estimating the Value of Parameters

Question Answer What do we mean by a point estimate? A point estimate is the value of a STATISTIC that estimates the value of a PARAMETER. What would be a reasonable point estimate for the parameter µ? A reasonable point estimate for the parameter µ would be the statistics “x-bar”. How is a confidence interval …

Concepts of Sampling distributions of means and proportions

Question Answer Is a sample mean, “x-bar”, a random variables? Why? Yes, x-bar is a random variables because its value varies from sample to sample. Do the sample means, “x-bars”, have an associated probability distribution? Yes. Just like any other random variables, the “x-bars” have probability distributions associated with them. That is, the sample means …

Organizing and Summarizing Data

Question Answer What is a frequency Distribution? A frequency distribution lists each category or value of a variable and the frequency of occurrences and/or relative frequency of occurrences for each category or value. What is Relative Frequency? The proportion (or percent) of observations within a category and is found by using the formula: Frequency/(sum of …