Chapters 3-5

### A numerical value used as a summary measure for a sample, such as sample mean, is known as a

sample statistic

### Since the population size is always larger than the sample size, then the sample statistic

can be smaller, larger, or equal to the population parameter.

### The mean of a sample

is computed by summing all the data values and dividing the sum by the number of items

### The pth percentile is a value that at least p percent of the observations are

less than or equal to this value

### In computing the hinges for data with an odd number of items, the median position is included

both in the computation of the lower and upper hinges.

### The interquartile range is used as a measure of variability to overcome what difficulty of the range?

The range is influenced too much by extremes.

### If the variance of a data set is correctly computed with the formula using n-1 in the denominator, what is true?

The data set is a sample.

### In computing descriptive statistics from grouped data,

data values are treated as if they occur at the midpoint of a class

### When should measures of location and dispersion be computed from grouped data rather than from individual data values?

Only when individual data values are unavailable

### The descriptive measure of dispersion that is based on the concept of a deviation about the mean is?

The standard deviation

### The measure of location which is the most likely to be influenced by extreme values is the data set is the?

Mean

### The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects were order of selection is not important is called?

Combination

### The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects were order of selection is important is called?

Permutation

### When the assumption of equally likely outcomes is used to assign probability values, the method used to assign probabilities is referred to as the

classical method

### Two events, A and B, are mutually exclusive and each have a nonzero probability. If event A is known to occur, the probability of the occurrence of even B is

zero.

### The addition law is potentially helpful when we are interested in computing the probability of

the union of two events

### The multiplication law is potentially helpful when we are interested in computing the probability of

the intersection of two events.

### The union of events A and B is the even containing

all the sample points belonging to A or B, or both

### If a penny is tossed three times and comes up heads all three times, the probability of heads on the fourth trial is

one-half

### The variance is the measure of the dispersion or variability of a random variable. It is a weighted average of the

squared deviations from the mean

### A weighted average of the value of a random variable, where the probability function provides weights is known as

the expected value

### When sampling without replacement, the probability of obtaining a certain sample is best given by a

hypergeometric distribution

### In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the

poisson distribution

### What are the characteristics of an experiment where the binomial probability distribution is applicable?

The experiment has a sequence of n identical trials, exactly two outcomes are possible on each trial, the probabilities of the outcomes do not change from one trial to another.

### What are the properties of a binomial experiment?

The experiment consists of a sequence of n identical trials, each outcome can be referred to as a success or failure, the trials are independent.

### When dealing with the number of occurrences of an event over a specified interval of time or space, the appropriate probability distribution is a

poisson distribution

### The key difference between the binomial and hypergeometric distribution is that with the hypergeometric distribution

the probability of success changes from trial to trial