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Bossanova Chevy Nova f
Fictional Data. Four brands of selt belts are compared. Each row is a different date and the number of "approximate deaths" of crash test dummies per 50 trials.  aestepa  Nov 13, 2019  26KB  208 
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  1065 
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  1603 
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  5970 
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  2858 
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  1064 
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  1793 
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  445 
RSCH665 ANOVA Headphones
In class ANOVA problem for RSCH 665, Module 6.  mark.wise  Jul 6, 2016  159B  240 
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  174  Blue Jean anova data
Number of pairs of blue jeans sewed for each worker in a factory. The workers were randomly assigned to work in a cool, moderate, or warm room.  cryan77  Nov 26, 2019  110B  3 
KCC ANOVA  millermt  Nov 21, 2019  1KB  171 
ANOVA quiz  lumanh  Nov 19, 2019  118B  38 
VCU ANOVA  class examples  pburch  Oct 16, 2019  702B  2789  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  830 
