- 2.27CQ: Museum Visitors The number of visitors to the Historic Museum for 2...
- 2.1CQ: Determine whether the statement is true or false. If the statement ...
- 2.1CTC: ?The Great Lakes Shown are various statistics about the Great Lakes...
- 2.1DA: ?From the Data Bank located in Appendix B, choose one of the follow...
- 2.1DP: Business and Finance Consider the 30 stocks listed as the Dow Jones...
- 2.1RE: ?How People Get Their News The Brunswick Research Organization surv...
- 2.2CQ: Determine whether the statement is true or false. If the statement ...
- 2.2DA: ?From the Data Bank, choose one of the following variables: educati...
- 2.2DP: Sports and Leisure Use systematic sampling to create a sample of 25...
- 2.3CQ: Determine whether the statement is true or false. If the statement ...
- 2.3DA: ?From the Data Bank, select at least 30 subjects and construct a ca...
- 2.3DP: Technology Randomly select 50 songs from your music player or music...
- 2.4CQ: Determine whether the statement is true or false. If the statement ...
- 2.4DA: Using the data from Data Set IV in Appendix D, construct a frequenc...
- 2.4DP: Health and Wellness Use information from the Red Cross to create a ...
- 2.4RE: Construct a histogram, a frequency polygon, and an ogive for the da...
- 2.5CQ: Determine whether the statement is true or false. If the statement ...
- 2.5DA: Using the data from Data Set XI in Appendix D, construct a frequenc...
- 2.5DP: ?Politics and Economics Consider the U.S. Electoral College System....
- 2.5RE: The percentage (rounded to the nearest whole percent) of persons fr...
- 2.6CQ: Determine whether the statement is true or false. If the statement ...
- 2.6DP: Your Class Have each person in class take his or her pulse and dete...
- 2.7CQ: Determine whether the statement is true or false. If the statement ...
- 2.7DA: ?A Data Bank is found in Appendix B, or on the World Wide Web by fo...
- 2.8CQ: Select the best answer.What is another name for the ogive?a. Histog...
- 2.9CQ: Select the best answer.What are the boundaries for 8.6–8.8?a. 8–9__...
- 2.10CQ: Select the best answer.What graph should be used to show the relati...
- 2.11CQ: Select the best answer.Except for rounding errors, relative frequen...
- 2.12CQ: Complete these statements with the best answers.The three types of ...
- 2.13CQ: Complete these statements with the best answers.In a frequency dist...
- 2.13RE: Activities While Driving A survey of 1200 drivers showed the percen...
- 2.14CQ: Complete these statements with the best answers.Data such as blood ...
- 2.15CQ: Complete these statements with the best answers.Data collected over...
- 2.16CQ: Complete these statements with the best answers.A statistical devic...
- 2.17CQ: Complete these statements with the best answers.On a Pareto chart, ...
- 2.18CQ: A questionnaire on housing arrangements showed this information obt...
- 2.19CQ: Construct a pie graph for the data in Exercise 18.
- 2.19RE: Spending of College Freshmen The average amounts spent by college f...
- 2.20CQ: Items Purchased at a Convenience Store When 30 randomly selected cu...
- 2.20RE: Career Changes A survey asked if people would like to spend the res...
- 2.21CQ: Construct a histogram, a frequency polygon, and an ogive for the da...
- 2.23RE: ?Museum Visitors The number of visitors to the Railroad Museum duri...
- 2.24CQ: Recycled Trash Construct a Pareto chart and a horizontal bar graph ...
- 2.24RE: ?Public Libraries The numbers of public libraries in operation for ...
- 2.25CQ: Identity Thefts The results of a survey of 84 people whose identiti...
- 2.26CQ: Needless Deaths of Children The New England Journal of Medicine pre...
- 2.47CQ: Problem? ?27CQ Museum? ?Visitors?? ?The? ?number? ?of? ?visitors? ?...
- 2.29CQ: ?Determine whether each statement is true or false. If the statemen...
Solutions for Chapter 2: Frequency Distributions and Graphs
Full solutions for Elementary Statistics: A Step By Step Approach | 9th Edition
ISBN: 9780073534985
Summary of Chapter 2: Frequency Distributions and Graphs
The most convenient method of organizing data is to construct a frequency distribution.
This textbook survival guide was created for the textbook: Elementary Statistics: A Step By Step Approach , edition: 9. Elementary Statistics: A Step By Step Approach was written by and is associated to the ISBN: 9780073534985. Chapter 2: Frequency Distributions and Graphs includes 48 full step-by-step solutions. Since 48 problems in chapter 2: Frequency Distributions and Graphs have been answered, more than 670657 students have viewed full step-by-step solutions from this chapter. This expansive textbook survival guide covers the following chapters and their solutions.
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Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
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Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average
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Assignable cause
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.
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Bayes’ estimator
An estimator for a parameter obtained from a Bayesian method that uses a prior distribution for the parameter along with the conditional distribution of the data given the parameter to obtain the posterior distribution of the parameter. The estimator is obtained from the posterior distribution.
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Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.
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Completely randomized design (or experiment)
A type of experimental design in which the treatments or design factors are assigned to the experimental units in a random manner. In designed experiments, a completely randomized design results from running all of the treatment combinations in random order.
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Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.
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Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.
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Correlation coeficient
A dimensionless measure of the linear association between two variables, usually lying in the interval from ?1 to +1, with zero indicating the absence of correlation (but not necessarily the independence of the two variables).
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Correlation matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the off-diagonal elements rij are the correlations between Xi and Xj .
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Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t
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Deining relation
A subset of effects in a fractional factorial design that deine the aliases in the design.
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Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.
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Error of estimation
The difference between an estimated value and the true value.
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Estimate (or point estimate)
The numerical value of a point estimator.
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Factorial experiment
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.
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Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r
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Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .
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Goodness of fit
In general, the agreement of a set of observed values and a set of theoretical values that depend on some hypothesis. The term is often used in itting a theoretical distribution to a set of observations.
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Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .