- 2.3.1BSC: Histogram Table 2 is a frequency distribution summarizing the IQ sc...
- 2.3.2BSC: Voluntary Response Sample The histogram in Figure on page is constr...
- 2.3.3BSC: Small Data NASA provides these duration times (in minutes) of all f...
- 2.3.4BSC: Normal Distribution When it refers to a normal distribution, does t...
- 2.3.5BSC: Interpreting a Histogram. In Exercises, answer the questions by ref...
- 2.3.6BSC: Interpreting a Histogram. In Exercises, answer the questions by ref...
- 2.3.7BSC: eting a Histogram. In Exercises, answer the questions by referring ...
- 2.3.8BSC: Interpreting a Histogram. In Exercises, answer the questions by ref...
- 2.3.9BSC: Constructing Histograms. Construct the histograms and answer the gi...
- 2.3.10BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.11BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.12BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.13BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.14BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.15BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.16BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.17BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.18BSC: Constructing Histograms. In Exercises, construct the histograms and...
- 2.3.19BB: Back-to-Back Relative Frequency Histograms When using histograms to...
- 2.3.20BB: Interpreting a Histogram Refer to the histogram given for Exercises...
Solutions for Chapter 2.3: Elementary Statistics 12th Edition
Full solutions for Elementary Statistics | 12th Edition
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.
A qualitative characteristic of an item or unit, usually arising in quality control. For example, classifying production units as defective or nondefective results in attributes data.
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
A distribution with two modes
Bivariate normal distribution
The joint distribution of two normal random variables
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.
Coeficient of determination
See R 2 .
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.
A graphical display used to monitor a process. It usually consists of a horizontal center line corresponding to the in-control 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 in-control, or free from assignable causes. Points beyond the control limits indicate an out-of-control process; that is, assignable causes are likely present. This signals the need to ind and remove the assignable causes.
Formulas used to determine the number of elements in sample spaces and events.
Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t
A parameter in a tabular CUSUM algorithm that is determined from a trade-off between false alarms and the detection of assignable causes.
The amount of variability exhibited by data
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 model-itting process and not on replication.
The distribution of the random variable deined as the ratio of two independent chi-square random variables, each divided by its number of degrees of freedom.
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
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .