 62.1: Normal Distribution When we refer to a normal distribution, does th...
 62.2: Normal Distribution A normal distribution is informally described a...
 62.3: Standard Normal Distribution Identify the requirements necessary fo...
 62.4: Notation What does the notation z indicate?
 62.5: Continuous Uniform Distribution. In Exercises 58, refer to the cont...
 62.6: Continuous Uniform Distribution. In Exercises 58, refer to the cont...
 62.7: Continuous Uniform Distribution. In Exercises 58, refer to the cont...
 62.8: Continuous Uniform Distribution. In Exercises 58, refer to the cont...
 62.9: Standard Normal Distribution. In Exercises 912, find the area of th...
 62.10: Standard Normal Distribution. In Exercises 912, find the area of th...
 62.11: Standard Normal Distribution. In Exercises 912, find the area of th...
 62.12: Standard Normal Distribution. In Exercises 912, find the area of th...
 62.13: Standard Normal Distribution. In Exercises 1316, find the indicated...
 62.14: Standard Normal Distribution. In Exercises 1316, find the indicated...
 62.15: Standard Normal Distribution. In Exercises 1316, find the indicated...
 62.16: Standard Normal Distribution. In Exercises 1316, find the indicated...
 62.17: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.18: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.19: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.20: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.21: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.22: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.23: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.24: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.25: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.26: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.27: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.28: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.29: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.30: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.31: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.32: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.33: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.34: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.35: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.36: Standard Normal Distribution. In Exercises 1736, assume that a rand...
 62.37: Finding Bone Density Scores. In Exercises 3740 assume that a random...
 62.38: Finding Bone Density Scores. In Exercises 3740 assume that a random...
 62.39: Finding Bone Density Scores. In Exercises 3740 assume that a random...
 62.40: Finding Bone Density Scores. In Exercises 3740 assume that a random...
 62.41: Finding Critical Values. In Exercises 4144, find the indicated crit...
 62.42: Finding Critical Values. In Exercises 4144, find the indicated crit...
 62.43: Finding Critical Values. In Exercises 4144, find the indicated crit...
 62.44: Finding Critical Values. In Exercises 4144, find the indicated crit...
 62.45: Basis for the Range Rule of Thumb and the Empirical Rule. In Exerci...
 62.46: Basis for the Range Rule of Thumb and the Empirical Rule. In Exerci...
 62.47: Basis for the Range Rule of Thumb and the Empirical Rule. In Exerci...
 62.48: Basis for the Range Rule of Thumb and the Empirical Rule. In Exerci...
 62.49: For bone density scores that are normally distributed with a mean o...
 62.50: In a continuous uniform distribution, = minimum + maximum 2 and = r...
Solutions for Chapter 62: The Standard Normal Distribution
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 62: The Standard Normal Distribution
Get Full SolutionsElementary Statistics was written by and is associated to the ISBN: 9780321836960. Since 50 problems in chapter 62: The Standard Normal Distribution have been answered, more than 214714 students have viewed full stepbystep solutions from this chapter. Chapter 62: The Standard Normal Distribution includes 50 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12.

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

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

Bias
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.

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

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.

Chisquare test
Any test of signiicance based on the chisquare distribution. The most common chisquare tests are (1) testing hypotheses about the variance or standard deviation of a normal distribution and (2) testing goodness of it of a theoretical distribution to sample data

Conidence coeficient
The probability 1?a associated with a conidence interval expressing the probability that the stated interval will contain the true parameter value.

Contrast
A linear function of treatment means with coeficients that total zero. A contrast is a summary of treatment means that is of interest in an experiment.

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).

Crossed factors
Another name for factors that are arranged in a factorial experiment.

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.

Density function
Another name for a probability density function

Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.

Distribution function
Another name for a cumulative distribution function.

Eficiency
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.

Erlang random variable
A continuous random variable that is the sum of a ixed number of independent, exponential random variables.

Estimate (or point estimate)
The numerical value of a point estimator.

Ftest
Any test of signiicance involving the F distribution. The most common Ftests are (1) testing hypotheses about the variances or standard deviations of two independent normal distributions, (2) testing hypotheses about treatment means or variance components in the analysis of variance, and (3) testing signiicance of regression or tests on subsets of parameters in a regression model.

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

Generating function
A function that is used to determine properties of the probability distribution of a random variable. See Momentgenerating function