 2.3.1E: What is an ogive?
 2.3.1: What is an ogive?
 2.3.2E: What are timeseries data?
 2.3.2: What are timeseries data?
 2.3.3E: True or False: When plotting an ogive, the plotted points have xco...
 2.3.3: True or False: When plotting an ogive, the plotted points have xco...
 2.3.4E: True or False: When plotting a frequency polygon, we plot the perce...
 2.3.4: True or False: When plotting a frequency polygon, we plot the perce...
 2.3.5E: Age of Population The following frequency polygon shows the age dis...
 2.3.5: Age of Population The following frequency polygon shows the age dis...
 2.3.6E: Deaths by Legal Intervention Deaths by legal intervention refers to...
 2.3.6: Deaths by Legal Intervention Deaths by legal intervention refers to...
 2.3.7E: ACT Scores The relative frequency ogive on the following page repre...
 2.3.7: ACT Scores The relative frequency ogive on the following page repre...
 2.3.8E: SAT Math Scores The following relative frequency ogive represents t...
 2.3.8: SAT Math Scores The following relative frequency ogive represents t...
 2.3.9E: Housing Affordability The National Association of Home Builders in ...
 2.3.9: Housing Affordability The National Association of Home Builders in ...
 2.3.10E: Motor Vehicle Production The following timeseries graph shows the ...
 2.3.10: Motor Vehicle Production The following timeseries graph shows the ...
 2.3.11E: Unemployment and Inflation The following timeseries plot shows the...
 2.3.11: Unemployment and Inflation The following timeseries plot shows the...
 2.3.12E: Prize Money at Wimbledon The following timeseries plot shows the p...
 2.3.12: Prize Money at Wimbledon The following timeseries plot shows the p...
 2.3.13E: In Problems, use the frequency distributions in the problem indicat...
 2.3.13: In 1316, use the frequency distributions in the problem indicated f...
 2.3.14E: In Problems, use the frequency distributions in the problem indicat...
 2.3.14: In 1316, use the frequency distributions in the problem indicated f...
 2.3.15E: In Problems, use the frequency distributions in the problem indicat...
 2.3.15: In 1316, use the frequency distributions in the problem indicated f...
 2.3.16E: In Problems, use the frequency distributions in the problem indicat...
 2.3.16: In 1316, use the frequency distributions in the problem indicated f...
 2.3.17E: Walt Disney CompanyThe data on the next page represent the stock pr...
 2.3.17: Walt Disney Company The data on the next page represent the stock p...
 2.3.18E: Google, Inc. The following data represent the closing stock price f...
 2.3.18: Google, Inc. The following data represent the closing stock price f...
 2.3.19E: Federal Debt The following data represent the percentage of total f...
 2.3.19: Federal Debt The following data represent the percentage of total f...
 2.3.20E: College Enrollment The data in the next column represent the percen...
 2.3.20: College Enrollment The data in the next column represent the percen...
 2.3.21E: Rates of Return of Stocks Stocks may be categorized by industry. Th...
 2.3.21: Rates of Return of Stocks Stocks may be categorized by industry. Th...
 2.3.22E: American League versus National League The following data represent...
 2.3.22: American League versus National League The following data represent...
 2.3.23E: Putting It Together: Shark! The following two graphics represent th...
 2.3.23: Putting It Together: Shark! The following two graphics represent th...
 2.3.24E: Which do you prefer: histograms, stemandleaf plots, or frequency ...
 2.3.24: Which do you prefer: histograms, stemandleaf plots, or frequency ...
 2.3.25E: The cumulative relative frequency for the last class must always be...
 2.3.25: The cumulative relative frequency for the last class must always be...
 2.3.26E: What type of variable is required when drawing a timeseries plot? ...
 2.3.26: What type of variable is required when drawing a timeseries plot? ...
Solutions for Chapter 2.3: ADDITIONAL DISPLAYS OF QUANTITATIVE DATA
Full solutions for Statistics: Informed Decisions Using Data  4th Edition
ISBN: 9780321757272
Solutions for Chapter 2.3: ADDITIONAL DISPLAYS OF QUANTITATIVE DATA
Get Full SolutionsStatistics: Informed Decisions Using Data was written by and is associated to the ISBN: 9780321757272. This textbook survival guide was created for the textbook: Statistics: Informed Decisions Using Data , edition: 4. Chapter 2.3: ADDITIONAL DISPLAYS OF QUANTITATIVE DATA includes 52 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Since 52 problems in chapter 2.3: ADDITIONAL DISPLAYS OF QUANTITATIVE DATA have been answered, more than 144279 students have viewed full stepbystep solutions from this chapter.

Additivity property of x 2
If two independent random variables X1 and X2 are distributed as chisquare with v1 and v2 degrees of freedom, respectively, Y = + X X 1 2 is a chisquare random variable with u = + v v 1 2 degrees of freedom. This generalizes to any number of independent chisquare random variables.

Analysis of variance (ANOVA)
A method of decomposing the total variability in a set of observations, as measured by the sum of the squares of these observations from their average, into component sums of squares that are associated with speciic deined sources of variation

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Biased estimator
Unbiased estimator.

Box plot (or box and whisker plot)
A graphical display of data in which the box contains the middle 50% of the data (the interquartile range) with the median dividing it, and the whiskers extend to the smallest and largest values (or some deined lower and upper limits).

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

Conditional probability density function
The probability density function of the conditional probability distribution of a continuous random variable.

Conditional variance.
The variance of the conditional probability distribution of a random variable.

Continuity correction.
A correction factor used to improve the approximation to binomial probabilities from a normal distribution.

Continuous distribution
A probability distribution for a continuous random variable.

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).

Decision interval
A parameter in a tabular CUSUM algorithm that is determined from a tradeoff between false alarms and the detection of assignable causes.

Dependent variable
The response variable in regression or a designed experiment.

Error of estimation
The difference between an estimated value and the true value.

Firstorder model
A model that contains only irstorder terms. For example, the irstorder response surface model in two variables is y xx = + ?? ? ? 0 11 2 2 + + . A irstorder model is also called a main effects model

Fraction defective control chart
See P chart

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

Gamma function
A function used in the probability density function of a gamma random variable that can be considered to extend factorials

Gamma random variable
A random variable that generalizes an Erlang random variable to noninteger values of the parameter r

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.