 2.1.1: Shoes How many pairs of shoes do students have? Do girls have more ...
 2.1.2: Old folks Here is a stemplot of the percents of residents aged 65 a...
 2.1.3: Math test Josh just got the results of the statewide Algebra 2 test...
 2.1.4: Blood pressure Larry came home very excited after a visit to his do...
 2.1.5: Growth charts We used an online growth chart to find percentiles fo...
 2.1.6: Run fast Peter is a star runner on the track team. In the league ch...
 2.1.7: Exercises 7 and 8 involve a new type of graph called a percentile p...
 2.1.8: Exercises 7 and 8 involve a new type of graph called a percentile p...
 2.1.9: Shopping spree The figure below is a cumulative relative frequency ...
 2.1.10: Light it up! The graph below is a cumulative relative frequency gra...
 2.1.11: SAT versus ACT Eleanor scores 680 on the SAT Mathematics test. The ...
 2.1.12: Comparing batting averages Three landmarks of baseball achievement ...
 2.1.13: Measuring bone density Individuals with low bone density have a hig...
 2.1.14: Comparing bone density Refer to the previous exercise. One of Judys...
 2.1.15: Exercises 15 and 16 refer to the dotplot and summary statistics of ...
 2.1.16: Exercises 15 and 16 refer to the dotplot and summary statistics of ...
 2.1.17: The scores on Ms. Martins statistics quiz had a mean of 12 and a st...
 2.1.18: Mr. Olsen uses an unusual grading system in his class. After each t...
 2.1.19: Tall or short? Mr. Walker measures the heights (in inches) of the s...
 2.1.20: Teacher raises A school system employs teachers at salaries between...
 2.1.21: Tall or short? Refer to Exercise 19. Mr. Walker converts his studen...
 2.1.22: Teacher raises Refer to Exercise 20. If each teacher receives a 5% ...
 2.1.23: Cool pool? Coach Ferguson uses a thermometer to measure the tempera...
 2.1.24: Measure up Clarence measures the diameter of each tennis ball in a ...
 2.1.25: Multiple choice: Select the best answer for Exercises 25 to 30. Jor...
 2.1.26: Multiple choice: Select the best answer for Exercises 25 to 30. Whe...
 2.1.27: Multiple choice: Select the best answer for Exercises 25 to 30. Sco...
 2.1.28: Multiple choice: Select the best answer for Exercises 25 to 30. Geo...
 2.1.29: Multiple choice: Select the best answer for Exercises 25 to 30. Exe...
 2.1.30: Multiple choice: Select the best answer for Exercises 25 to 30. Exe...
 2.1.31: Exercises 31 and 32 refer to the following setting. We used CensusA...
 2.1.32: Exercises 31 and 32 refer to the following setting. We used CensusA...
Solutions for Chapter 2.1: Describing Location in a Distribution
Full solutions for The Practice of Statistics  5th Edition
ISBN: 9781464108730
Solutions for Chapter 2.1: Describing Location in a Distribution
Get Full SolutionsChapter 2.1: Describing Location in a Distribution includes 32 full stepbystep solutions. The Practice of Statistics was written by and is associated to the ISBN: 9781464108730. This textbook survival guide was created for the textbook: The Practice of Statistics, edition: 5. This expansive textbook survival guide covers the following chapters and their solutions. Since 32 problems in chapter 2.1: Describing Location in a Distribution have been answered, more than 10574 students have viewed full stepbystep solutions from this chapter.

Adjusted R 2
A variation of the R 2 statistic that compensates for the number of parameters in a regression model. Essentially, the adjustment is a penalty for increasing the number of parameters in the model. Alias. In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

Alias
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.

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

Attribute control chart
Any control chart for a discrete random variable. See Variables control chart.

Bayes’ theorem
An equation for a conditional probability such as PA B (  ) in terms of the reverse conditional probability PB A (  ).

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

Categorical data
Data consisting of counts or observations that can be classiied into categories. The categories may be descriptive.

Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Continuous uniform random variable
A continuous random variable with range of a inite interval and a constant probability density function.

Control chart
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the incontrol value of the parameter that is being monitored and lower and upper control limits. The control limits are determined by statistical criteria and are not arbitrary, nor are they related to speciication limits. If sample points fall within the control limits, the process is said to be incontrol, or free from assignable causes. Points beyond the control limits indicate an outofcontrol process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.

Correlation
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.

Cumulative distribution function
For a random variable X, the function of X deined as PX x ( ) ? that is used to specify the probability distribution.

Defect
Used in statistical quality control, a defect is a particular type of nonconformance to speciications or requirements. Sometimes defects are classiied into types, such as appearance defects and functional defects.

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Density function
Another name for a probability density function

Designed experiment
An experiment in which the tests are planned in advance and the plans usually incorporate statistical models. See Experiment

Distribution function
Another name for a cumulative distribution function.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

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