- 7-2.1: Would this be considered a small sample?
- 7-2.2: Compute the mean cost per container, and create a 90% confidence in...
- 7-2.3: Are there any you would consider outliers?
- 7-2.4: How many degrees of freedom are there?
- 7-2.5: If cost is a major factor influencing your decision, would you cons...
- 7-2.6: List which drink you would recommend and why.
- 7-2.7: Women Representatives in State Legislature A state representative w...
- 7-2.8: State Gasoline Taxes A random sample of state gasoline taxes (in ce...
- 7-2.9: College Wrestler Weights A sample of six college wrestlers had an a...
- 7-2.10: Dance Company Students The number of students who belong to the dan...
- 7-2.11: Distance Traveled to Work A recent study of 28 employees of XYZ com...
- 7-2.12: Thunderstorm Speeds A meteorologist who sampled 13 thunderstorms fo...
- 7-2.13: Students per Teacher in U.S. Public Schools The national average fo...
- 7-2.14: Stress Test For a group of 10 men subjected to a stress situation, ...
- 7-2.15: For the stress test described in Exercise 14, six women had an aver...
- 7-2.16: Hospital Noise Levels For a sample of 24 operating rooms taken in t...
- 7-2.17: Costs for a 30-Second Spot on Cable Television The approximate cost...
- 7-2.18: Football Player Heart Rates For a group of 22 college football play...
- 7-2.19: Grooming Times for Men and Women It has been reported that 20- to 2...
- 7-2.20: Unhealthy Days in Cities The number of unhealthy days based on the ...
- 7-2.21: A one-sided confidence interval can be found for a mean by using wh...
Solutions for Chapter 7-2: Confidence Intervals and Sample Size
Full solutions for Elementary Statistics: A Step by Step Approach | 7th Edition
2 k p - factorial experiment
A fractional factorial experiment with k factors tested in a 2 ? p fraction with all factors tested at only two levels (settings) each
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.
In a fractional factorial experiment when certain factor effects cannot be estimated uniquely, they are said to be aliased.
Average run length, or ARL
The average number of samples taken in a process monitoring or inspection scheme until the scheme signals that the process is operating at a level different from the level in which it began.
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.
See Control chart.
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.
Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
Error of estimation
The difference between an estimated value and the true value.
An analysis of how the variance of the random variable that represents that output of a system depends on the variances of the inputs. A formula exists when the output is a linear function of the inputs and the formula is simpliied if the inputs are assumed to be independent.
A subset of a sample space.
A property of a collection of events that indicates that their union equals the sample space.
A signal from a control chart when no assignable causes are present
Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.
Fixed factor (or fixed effect).
In analysis of variance, a factor or effect is considered ixed if all the levels of interest for that factor are included in the experiment. Conclusions are then valid about this set of levels only, although when the factor is quantitative, it is customary to it a model to the data for interpolating between these levels.
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 control chart
See P chart
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on