 7.1.1E: A ______ ______ ______ is an equation used to compute probabilities...
 7.1.1: A is an equation used to compute probabilities of continuous random...
 7.1.2E: A _____ is an equation, table, or graph used to describe reality.
 7.1.2: A is an equation, table, or graph used to describe reality
 7.1.3E: True or False: The normal curve is symmetric about its mean, ?.
 7.1.3: True or False: The normal curve is symmetric about its mean, m
 7.1.4E: The area under the normal curve to the right of ? equals _____.
 7.1.4: The area under the normal curve to the right of m equals .
 7.1.5E: The points at x = ______and x = ______ are the inflection points on...
 7.1.5: The points at x = and x = are the inflection points on the normal c...
 7.1.6E: The area under a normal curve can be interpreted as a ______or ____...
 7.1.6: The area under a normal curve can be interpreted as a or .
 7.1.7E: Determine whether the graph can represent a normal curve. If it can...
 7.1.7: For 712, determine whether the graph can represent a normal curve. ...
 7.1.8E: Determine whether the graph can represent a normal curve. If it can...
 7.1.8: For 712, determine whether the graph can represent a normal curve. ...
 7.1.9E: Determine whether the graph can represent a normal curve. If it can...
 7.1.9: For 712, determine whether the graph can represent a normal curve. ...
 7.1.10E: Determine whether the graph can represent a normal curve. If it can...
 7.1.10: For 712, determine whether the graph can represent a normal curve. ...
 7.1.11E: Determine whether the graph can represent a normal curve. If it can...
 7.1.11: For 712, determine whether the graph can represent a normal curve. ...
 7.1.12E: Determine whether the graph can represent a normal curve. If it can...
 7.1.12: For 712, determine whether the graph can represent a normal curve. ...
 7.1.13E: Imagine that a friend of yours is always late. Let the random varia...
 7.1.13: 1316 use the information presented in Examples 1 and 2.(a) Find the...
 7.1.14E: Imagine that a friend of yours is always late. Let the random varia...
 7.1.14: 1316 use the information presented in Examples 1 and 2.(a) Find the...
 7.1.15E: Imagine that a friend of yours is always late. Let the random varia...
 7.1.15: 1316 use the information presented in Examples 1 and 2. Find the pr...
 7.1.16E: Imagine that a friend of yours is always late. Let the random varia...
 7.1.16: 1316 use the information presented in Examples 1 and 2.Find the pro...
 7.1.17E: Uniform Distribution The randomnumber generator on calculators ran...
 7.1.17: Uniform Distribution The randomnumber generator on calculators ran...
 7.1.18E: Uniform Distribution The reaction time X (in minutes) of a certain ...
 7.1.18: Uniform Distribution The reaction time X (in minutes) of a certain ...
 7.1.19E: Determine whether or not the histogram indicates that a normal dist...
 7.1.19: In 1922, determine whether or not the histogram indicates that a no...
 7.1.20E: Determine whether or not the histogram indicates that a normal dist...
 7.1.20: In 1922, determine whether or not the histogram indicates that a no...
 7.1.21E: Determine whether or not the histogram indicates that a normal dist...
 7.1.21: In 1922, determine whether or not the histogram indicates that a no...
 7.1.22E: Determine whether or not the histogram indicates that a normal dist...
 7.1.22: In 1922, determine whether or not the histogram indicates that a no...
 7.1.23E: One graph in the figure represents a normal distribution with mean ...
 7.1.23: In 1922, determine whether or not the histogram indicates that a no...
 7.1.24E: One graph in the figure at the top of the next column represents a ...
 7.1.24: In 1922, determine whether or not the histogram indicates that a no...
 7.1.25E: The graph of a normal curve is given. Use the graph to identify the...
 7.1.25: In 2528, the graph of a normal curve is given. Use the graph to ide...
 7.1.26E: The graph of a normal curve is given. Use the graph to identify the...
 7.1.26: In 2528, the graph of a normal curve is given. Use the graph to ide...
 7.1.27E: The graph of a normal curve is given. Use the graph to identify the...
 7.1.27: In 2528, the graph of a normal curve is given. Use the graph to ide...
 7.1.28E: The graph of a normal curve is given. Use the graph to identify the...
 7.1.28: In 2528, the graph of a normal curve is given. Use the graph to ide...
 7.1.29E: Draw a normal curve with ? = 30 and ? = 10. Label the mean and the ...
 7.1.29: Draw a normal curve with m = 30 and s = 10. Label the mean and the ...
 7.1.30E: Draw a normal curve with ? = 50 and ? = 5. Label the mean and the i...
 7.1.30: Draw a normal curve with m = 50 and s = 5. Label the mean and the i...
 7.1.31E: You Explain It! Cell Phone Rates Monthly charges for cell phone pla...
 7.1.31: You Explain It! Cell Phone Rates Monthly charges for cell phone pla...
 7.1.32: You Explain It! Refrigerators The lives of refrigerators are normal...
 7.1.32E: You Explain It! Refrigerators The lives of refrigerators are normal...
 7.1.33: You Explain It! Refrigerators The lives of refrigerators are normal...
 7.1.33E: You Explain It! Birth Weights The birth weights of fullterm babies...
 7.1.34: You Explain It! Height of 10YearOld Males The heights of 10year...
 7.1.34E: You Explain It! Height of 10YearOld Males The heights of 10year...
 7.1.35: You Explain It! Gestation Period The lengths of human pregnancies a...
 7.1.35E: You Explain It! Gestation Period The lengths of human pregnancies a...
 7.1.36: You Explain It! Miles per Gallon Elena conducts an experiment in wh...
 7.1.36E: You Explain It! Miles per Gallon Elena conducts an experiment in wh...
 7.1.37: Hitting a Pitching Wedge In the game of golf, distance control is j...
 7.1.37E: Hitting a Pitching Wedge In the game of golf, distance control is j...
 7.1.38: Hitting a Pitching Wedge In the game of golf, distance control is j...
 7.1.38E: Heights of 5YearOld Females The following frequency distribution ...
Solutions for Chapter 7.1: PROPERTIES OF THE NORMAL DISTRIBUTION
Full solutions for Statistics: Informed Decisions Using Data  4th Edition
ISBN: 9780321757272
Solutions for Chapter 7.1: PROPERTIES OF THE NORMAL DISTRIBUTION
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 7.1: PROPERTIES OF THE NORMAL DISTRIBUTION includes 76 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Since 76 problems in chapter 7.1: PROPERTIES OF THE NORMAL DISTRIBUTION have been answered, more than 151859 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.

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.

Alternative hypothesis
In statistical hypothesis testing, this is a hypothesis other than the one that is being tested. The alternative hypothesis contains feasible conditions, whereas the null hypothesis speciies conditions that are under test

Backward elimination
A method of variable selection in regression that begins with all of the candidate regressor variables in the model and eliminates the insigniicant regressors one at a time until only signiicant regressors remain

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).

C chart
An attribute control chart that plots the total number of defects per unit in a subgroup. Similar to a defectsperunit or U chart.

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

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

Central composite design (CCD)
A secondorder response surface design in k variables consisting of a twolevel factorial, 2k axial runs, and one or more center points. The twolevel factorial portion of a CCD can be a fractional factorial design when k is large. The CCD is the most widely used design for itting a secondorder model.

Conditional probability mass function
The probability mass function of the conditional probability distribution of a discrete random variable.

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.

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Deming’s 14 points.
A management philosophy promoted by W. Edwards Deming that emphasizes the importance of change and quality

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

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

Fisher’s least signiicant difference (LSD) method
A series of pairwise hypothesis tests of treatment means in an experiment to determine which means differ.

Forward selection
A method of variable selection in regression, where variables are inserted one at a time into the model until no other variables that contribute signiicantly to the model can be found.

Fraction defective
In statistical quality control, that portion of a number of units or the output of a process that is defective.

Gaussian distribution
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications

Hat matrix.
In multiple regression, the matrix H XXX X = ( ) ? ? 1 . This a projection matrix that maps the vector of observed response values into a vector of itted values by yˆ = = X X X X y Hy ( ) ? ? ?1 .