 73.1: Explain what (95% CI) means.
 73.2: How large is the error for men reporting influenza?
 73.3: What is the sample size?
 73.4: How does sample size affect the size of the confidence interval?
 73.5: Would the confidence intervals be larger or smaller for a 90% CI, u...
 73.6: Where does the 51.5% under influenza for women fit into its associa...
 73.7: Work Interruptions A survey found that out of 200 workers, 168 said...
 73.8: Travel to Outer Space ACBS News/New York Times poll found that 329 ...
 73.9: High School Graduates Who Take the SAT The national average for the...
 73.10: Canoe Survey A survey of 50 firsttime whitewater canoers showed t...
 73.11: DVD Players A survey of 85 families showed that 36 owned at least o...
 73.12: Students Who Major in Business It has been reported that 20.4% of i...
 73.13: Financial Wellbeing In a Gallup Poll of 1005 individuals, 452 thou...
 73.14: Fighting U.S. Hunger In a poll of 1000 likely voters, 560 say that ...
 73.15: Vitamins for Women A medical researcher wishes to determine the per...
 73.16: Widows A recent study indicated that 29% of the 100 women over age ...
 73.17: Direct Satellite Television It is believed that 25% of U.S. homes h...
 73.18: Obesity Obesity is defined as a body mass index (BMI) of 3 kg/m2 or...
 73.19: Unmarried Americans Nearly onehalf of Americans aged 25 to 29 are ...
 73.20: Diet Habits A federal report indicated that 27% of children ages 2 ...
 73.21: Gun Control If a sample of 600 people is selected and the researche...
 73.22: Survey on Politics In a study, 68% of 1015 adults said that they be...
Solutions for Chapter 73: Confidence Intervals and Sample Size
Full solutions for Elementary Statistics: A Step by Step Approach  7th Edition
ISBN: 9780073534978
Solutions for Chapter 73: Confidence Intervals and Sample Size
Get Full SolutionsElementary Statistics: A Step by Step Approach was written by and is associated to the ISBN: 9780073534978. This textbook survival guide was created for the textbook: Elementary Statistics: A Step by Step Approach, edition: 7. This expansive textbook survival guide covers the following chapters and their solutions. Since 22 problems in chapter 73: Confidence Intervals and Sample Size have been answered, more than 36273 students have viewed full stepbystep solutions from this chapter. Chapter 73: Confidence Intervals and Sample Size includes 22 full stepbystep solutions.

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.

All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions

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

Axioms of probability
A set of rules that probabilities deined on a sample space must follow. See Probability

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

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

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.

Conditional probability distribution
The distribution of a random variable given that the random experiment produces an outcome in an event. The given event might specify values for one or more other random variables

Consistent estimator
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.

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

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.

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

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

Discrete random variable
A random variable with a inite (or countably ininite) range.

Dispersion
The amount of variability exhibited by data

Enumerative study
A study in which a sample from a population is used to make inference to the population. See Analytic study

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

Fraction defective control chart
See P chart

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