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email survey data#devices divided into groups 1, 2, &3 (1=1 device, 2=2 devices, 3= 3 or more devices)
I divided our sample of 155 into 3 groups:
group 1= those who use 1 device to read email
group 2= those who use 2 devices to read email
group 3= those who use 3 or more devices to read email  koarey  Dec 4, 2012  2KB  1557 
Seating Choice versus GPA (For 3 rows, with Text and Indicator Columns)
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front, middle, and back rows of a classroom, as well as a hypothetical gender variable. The data are shown using both text variables (e.g., "front" and "middle") and 0/1 indicator variables for the row and gender variables. This dataset is useful for demonstrating the different ways that StatCrunch can compare means based on two factors: (a) the text factor columns can be used in a twoway ANOVA; and (b) the 0/1 indicator columns can be used in multiple regression. (Because of StatCrunch's current limitation on equal cells, the 0/1 variables only use the first and middle rows.) Both procedures gives the same pvalue and same conclusion (as long as the interaction term is centered), thus highlighting the similarity of statistical procedures and StatCrunch's flexibility.  bartonpoulson  Apr 7, 2010  1KB  5643 
Seating Choice versus GPA (Stacked & Split Columns for Front & Back Rows)
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front and back row of a classroom. The data are shown in several ways: (a) two separate columns (one for the front row GPA and another or the back row GPA); (b) stacked with one column to indicate front or back row and another column with the GPAs; and (c) the row column repeated as a 0/1 indicator variable.
This dataset is useful for comparing the different ways that StatCrunch can compare the means of two groups: (a) The two columns of scores (front and back) can be used in the 2sample ttest or a oneway ANOVA; (b) the stacked text column (front/back) with a separate column for GPA can also be used for oneway ANOVA; and (c) the 0/1 indicator column and stacked GPAs can be used with correlation and regression. Every procedure gives the same pvalue and same conclusion, thus highlighting the similarity of statistical procedures and StatCrunch's flexibility.  bartonpoulson  Apr 7, 2010  465B  2707 
Telephone Holding Times
An airline has a tollfree phone number that they use for reservations. Sometimes callers have to be placed on hold. The airline conducted a randomized experiment to determine if there was a significant difference in how long a caller would remain on hold depending on what is playing on the call. The airline randomly selected one out of every 1000 calls to be placed on hold with either a advertisement of current promotions, with muzak playing (elevator music), or with classical music playing. Total, 15 callers were sampled for this study. Each column is the number of minutes that the random caller remained on the line until they hung up for each type of recorded message. This data set comes from "Statistics: The Art and Science of Learning from Data" by Alan Agresti and Christine Franklin.  statcrunchhelp  Sep 17, 2014  85B  1703 
Granola comparison
Ten subjects in this fictional study were each asked to sample three kinds of granola cereal, labelled simply "A", "B", and "C", and to rate the granola's taste on a scale of 1 to 10. Each subject was given the three granola samples in random order.  statcrunchhelp  Apr 19, 2016  223B  995 
Recent Weekly Gas Prices (Stacked)
Weekly Retail Gasoline and Diesel Prices
http://www.eia.gov/dnav/pet/pet_pri_gnd_a_epm0_pte_dpgal_w.htm
09:14:16 GMT0400 (Eastern Daylight Time)
Source: U.S. Energy Information Administration
Stacked for use with twoway ANOVA  sbroad  Jun 27, 2012  2KB  984 
semeat.xls
SOURCE: David H. Holben, “Selenium content of Venison, Squirrel, and beef purchased or produced in Ohio, a low selenium region of the United States,” Journal of Food Science, 67 (2002), 431433.
Testing selenium level for four meats (type) found in Appalachia Ohio. VEN is venison meat, SQU is squirrel meat, RRB is regionraised beef, NRB is nonregion raised beef. The outcome variable is selenium (selen)content in ug/100g.  jph422  Jan 30, 2008  1KB  413 
Split of Hand_washing ANOVA.txt
Bacteria counts on hands after using the labeled handcleansing method. Assume a randomized experiment.  kfoong321  Feb 7, 2019  267B  151 
RSCH665 ANOVA Headphones
In class ANOVA problem for RSCH 665, Module 6.  mark.wise  Jul 6, 2016  159B  230 
VCU ANOVA  class examples  pburch  Mar 20, 2019  702B  2613  Bone 2way unbalanced ANOVA with Ortho contrasts
The first 3 columns (Growth, Gender, Bone) can be used to demonstrate Unbalanced 2way Anova. The same results can be obtained using MLR with Growth as Y var and last five columns (g1, b1, b2, g1*b1, g1*b2) as X vars. Run subsets and subtract the Model SS of each subset from Model SS with all 5 vars. This will match the Anova.  statcrunchhelp  Jun 25, 2015  422B  818  Singers
Heights of singers in the NY Choral Society in 1979. Selfreport, to the nearest inch. Voice parts in order from highest pitch to lowest pitch are Soprano, Alto, Tenor, Bass. The first two are female voices and the last two are male voices. The original dataset included two divisions for each voice part. This dataset reports only soprano 1, alto 1, tenor 1, and bass 1 from the original dataset. Reference: Chambers, Cleveland, Kleiner, and Tukey. (1983). Graphical Methods for Data Analysis[Pooled ttest , ANOVA , Boxplot]
Variable  Description 
Soprano  Heights of sopranos (in inches) 
Alto  Heights of altos (in inches) 
Tenor  Heights of tenors (in inches) 
Bass  Heights of basses (in inches) 
 ds231%sc  Aug 11, 2008  485B  605  Cancer Survival
Patients with advanced cancers of the stomach, bronchus, colon, ovary or breast were treated with ascorbate. The purpose of the study was to determine if the survival times differ with respect to the organ
affected by the cancer.
Number of cases: 64
Reference:Cameron, E. and Pauling, L. (1978) Supplemental ascorbate in the supportive treatment of cancer: reevaluation of prolongation of survival times in terminal human cancer. Proceedings of the National Academy of Science USA, 75, 4538Ã4542. Also found in: Manly, B.F.J. (1986) Multivariate Statistical Methods: A Primer, New York: Chapman & Hall, 11. Also found in: Hand, D.J., et al. (1994) A Handbook of Small Data Sets, London: Chapman & Hall, 255.
[ANOVA , Boxplot , Transformation]
Variable  Description 
Survival  Survival time (in days?) 
Organ  Organ affected by the cancer 
 ds231%sc  Aug 11, 2008  817B  574  Magazine Ads Readability
Thirty magazines were ranked by educational level of their readers. Three magazines were randomly selected from the first, second, and third ten magazines. Six advertise ments were randomly selected from each of the nine selected magazines. The magazines were Group 1 Highest educational level: 1. Scientific American 2. Fortune 3. The New Yorker Group 2 Medium educational level: 4. Sports IIlustrated 5. Newsweek 6. People Group 3 Lowest educational level : 7. National Enquirer 8. Grit 9 True Confessions For each advertisement, the data below were observed.
Number of cases: 54
Reference: F.K. Shuptrine and D.D. McVicker, "Readability Levels of Magazine Ads," Journal of Advertising Research, 21:5 (October 1981), p 47.[
ANOVA ]
Variable  Description 
WDS  number of words in advertisement copy 
SEN  number of sentences in advertising copy 
3SYL  number of 3+ syllable words in advertising copy 
MAG  magazine (1 through 9 as above) 
GRP  educational level (as above) 
 ds231%sc  Aug 11, 2008  801B  432  Seating Choice vs GPA
This dataset contains hypothetical (I believe) data on GPA for students who sit in the front, middle, and back rows of a classroom, as well as a hypothetical gender variable. The data are shown using both text variables (e.g., "front" and "middle") and 0/1 indicator variables for the row and gender variables. This dataset is useful for demonstrating the different ways that StatCrunch can compare means based on two factors: (a) the text factor columns can be used in a twoway ANOVA; and (b) the 0/1 indicator columns can be used in multiple regression. (Because of StatCrunch's current limitation on equal cells, the 0/1 variables only use the first and middle rows.) Both procedures gives the same pvalue and same conclusion (as long as the interaction term is centered), thus highlighting the similarity of statistical procedures and StatCrunch's flexibility.  esther.boyd  Mar 11, 2019  210B  126 
