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DateParagraph or letterProblemSolutionInstitutionLast NameFirst Name
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Spring 2023
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3/9/23Exercise 1.2.7The solution is wrongThe solution should be E not B
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3/9/23page 19 in the model below Figure P.17premature is spelled prematruefix itTodd
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Winter 2022
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3/24/22Expl P.B Solutionsdata values in Q7 and Q11Answers change if use 639,900 as first data valueAne
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3/24/22Expl P.B Solutionsquestion 17Answer is missing the word "not"Ane
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4/13Example 1.5Table 1.54 discussionDiscussion below Think about it should reference 1.99% and 5.55% and 3.47% and 7.09%Ane
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11/1/22Exercise 3.1.1Answer options are incorrectAnswer options should be: 3, 6, 7, 8Cal Poly
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10/18/22Figure 3.4.5SSTotal is off505,904Beth
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10/18/22Exploration 3.4Solution to 17 references the wrong valueIf you add up the 3 adjusted sums of squares, the total is larger than SSModel by 0.15.Beth
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5/21/22Exploration 5.1Variable Importance discussion, references 50 degrees Fshould be 50 degress CelciusKaren
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Fall 2020
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8/1/2020Exercise P.B.9Karchi cricketsShould be Karschi crickets
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3/24/2021Expl 1.1There are no directions on how do collect the letter chunking data in class. Say the directions are in the instructors guide and then put them there.addedTodd
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3/24/2021#10 in Expl 1.2It says cap effect and "no cap" effectIt really shoud be black-cap effect and clear-cap effectTodd
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3/24/2021Expl 1.2It also says "no cap" at the end of the intro paragraphI would say clear cap.
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9/4/20Exploration 1.3question 26
Pay attention to the order of subtraction
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3/24/2021Expl 1.3 Questions 12 and 13 are essentially the same. In the answer key, 12 is answered but not 13 and so the numbering is off from there on.Delete question 13.
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3/24/2021Expl 1.3 #20 refers to #19 when it should refer to #18 (though that might change if question 13 is deleted
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3/24/2021Expl 1.3 #17 they need to use the SE of the residuals and they don't know what it is.I don't think they have been told yet that the SE of the residuals is the pooled SD given in the applet. They need to know this.
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3/24/2021Example 1.4The link for the FishOmega3 data (example 1.4) goes to a more complete data set than what is used in the example. It seems like the data should just have two variables so it can be used in the applet nicelyopen in Excel and only paste in the two columns of interestTodd
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3/24/2021Link in online textbook to squirrel data in expl 1.4The link doesn't work.The url should be: http://www.isi-stats.com/isi2/data/Squirrels.txt The one given in the book has a lowercase s on squirrelsboth links work nowTodd
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9/25/2021Example 1.6Just above Table 1.6.1, "hows"How might you create...Andrew
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3/4/2021Exercise 1.6.11
doesn't clearly convey one-sided or two-sided
Suppose you are testing to see whether, on average, heart rates
measured in beats per minute (bpm), after sitting for 30 seconds are lower
compared to after jumping for 30 seconds.
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9/25/2021
Exercise 1.6.12c solution
the problem refers to exercise 6.1.11 (should be 1.6.11).Andrew
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3/4/2021
Exercise 1.6.12c solution
doesn't give rejection regionapproximately 4.59 (.55)
Keep in mind these are approximations
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4/13/2021Exploration 1.6 solution#2 A reason for being not an experiment, it says participants are not randomly assinged to groups of how much time they need to parent. Time is the response variable not the explatory.It should say parent's can't be assigned a sex by the researcherTodd
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4/13/2021Exploration 1.6 solution#3 The alternative hypothesis is given as two-sidedIt should be one-sided with females spending more time than malesTodd
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4/13/2021Exploration 1.6 solution#23 It says the power changed because the F-statistic is standardizedIt should say the power changed because using the F-statistic you are conducting a 2-sided test instead of a 1-sided test.
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4/13/2021Exploration 1.6 solution#28 The current answer doesn't really answer the question. It asks how will it effect power and whyIt seems it has to say something about being a paired study and this could remove variability from a couple-effect and thus increase the power of the test.
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4/15/2021Example 2.1pg 236 The multiplier (5) out front of the SSinteraction is wrongIt should be 20 instead of 5. The answer is correct
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9-JulExploration 2.1Question 13Remind to use results from #7 and #12
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7/9/2020Exploration 2.1Data filesCan use MeltingTimes for Q7 and MeltingTimesUnstacked for Q10.
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7/9/2020Exploration 2.2#16sub-question should reference Question #10 not Question #9
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8/25/2020Exploration 2.3question 3Hint should end with period not comma
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4/13/2021Exploration 2.3right after question 5 it says that a high horsepower car is more that 2800 horse power. This would be a rocket, not a car.I think the cut off is suppose to be 100 not 2800. (2800 was the weight)Todd
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9/4/2020Exercise 2.1.10data table
displayed averages for person 6 and 7 incorrect
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9/4/2020Exercise 2.1.11 solution(f)
value given is percentage explained, not unexplained
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10/14/2021Exercise 2.1.13
SSperson is not straight forward to find with provided instructions
Give students the value for SSperson (can then ask them to find SSerror)
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9/4/2020Exercise 2.1.16solution
wrapped and not wrapped catgories are swapped in the equation
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7/9/2020Exercise 2.CE.3(d)Change question to Produce a confidence interval for the difference in the mean score (Pygmalion vs. control), after adjusting for company
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7/9/2020Exercise 2.CE.4Data fileIn Exercises data file, the dataset is named WorkCrew rather than WorkCrew1
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4/7/2021Exploration 2.2link is wrong for the one blocking applet between questions 8 and 9 in the ebook (it goes to the one mean applet not the blocking applet)The link should be http://www.rossmanchance.com/applets/rcbd.htmlTodd
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3/24/2021Exp 3.3Results will vary by stat package, types of sums of squaresAt least also show the "anova" output from RCarla
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9/4/2020Exercise 3.CE.6 solutionANOVA table for d
values in error row should be 12209.67 and 872.12
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7/9/2020Example 4.1Figure 4.1.5Equation should be predicted amount of PC extracted =
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4/20/2021Example 4.1 Fig 4.1.10The R^2 values are wrong
R^2 values should be 0.0583 and 0.0825 They are both off by a factor of 10.
Todd
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4/25/2021
Example 4.3 (4.3.2 Video)
In the slide that has the Residual vs. Prediced Price, the overestimate and underestimate are backwardsNathan should say (and it should read) The model tends to underestimate prices for smaller/cheaper ... The model tends to overestimimate prices for larger/more expensive ...Todd
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8/12/2020Chapter 4Figure 4.3.12In the pie chart, (0.255%) should be (25.5%)
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4-MayExample 5.2 page 406There are three instances where R^2 has a subscript of 12It seems like these subscripts should be brain,height
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4-MayExploration 5.2Between #11 and #12 the R^2 has a subscript of 12It seems like the subscript should be age,sqft like in the equation above it.Todd
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16-JulExploration 5.3#8Delete the word "predicted" before speed
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3-AugExploration 5.4#10should reference #9, not #8
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22-AugExercise 5.1.7A, B, CReplace "percentage points" with "%"
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4/20/2021Exercise 5.2.13 b answerThe less is wrong
Replace the "less" in the answer to "more"
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8/22/2020Exercise 5.3.10missing word applet in a and binto the Multiple Variables applet
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8/22/2020Exercise 5.3.14missing word applet in steminto the Multiple Variables applet
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8/22/2020Exercise 5.3.14units on populationmillions, not millions of dollars
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8/22/2020Exercise 5.3.19aand VMI is the explanatory variableVHI, not VMI (see also b, c, d)Soma
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8/22/2020Exercise 5.3.19 solutionc and ddelete "significantly" in interpretation
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8/23/2020Exercise 5.4.12part c says "within 1 degree C"change to: until the temperature of the probe is 1°C above the temperature of the roomSoma
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8/25/2020Exercise 5.CE.10missing info on how sex is coded in the datasetsex = 1, if female, and = 0, if maleSoma
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9/2/2020Exercise 6.2.16part c says "shots made"change to "whether or not a shot is made"
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9/2Exercise 6.3.4part d refers to the slopeis the slope of age
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9/2/2020Exercise 6.3.7part e says which categorychange to which combination
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Exercise 6.3.19prediction table is incorrect and correct classification rate is incorrectc. .780
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Exercise 6.3.20prediction tables are incorrect and correct classification rates are incorrecta. .780, b. .780, c. .786 (d. replace "variable" with "term")
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Exercise 6.CE.3d. "moderate (but not strong) evidence""little evidence"
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Applet Notetext references cases were applet only lists one coefficient for binary variableoutput now gives both coefficients but doesn't include SE, t, p-value for the other coefficient
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