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business statistics communicating

Business Statistics Communicating With Numbers 1st Edition Kelly Jaggia - Solutions

In a multiple regression with two explanatory variables, the following intermediate data are given: n = 5 0 , ∑(yi − ŷ)2 = 35, anda. Calculate the standard error of the estimate.b. Calculate the coefficient of determination R2.
In a simple linear regression based on 30 observations, it is found that SSE = 2,540 and SST = 13,870.a. Calculate and se.b. Calculate R2.
In a simple linear regression based on 25 observations, the following intermediate data are given: ∑ (y i − ŷ )2 = 1,250 anda. Calculate Se2 and se.b. Calculate R2.
FILE American football is the highest paying sport on a pergam e basis. The quarterback, considered the most important player on the team, is appropriately compensated. A sports statistician wants to use 2009 data to estimate a multiple regression model that links the quarterback's salary with his
FILE Education reform is one of the most hotly debated subjects on both state and national policy makers' list of socioeconomic topics. Consider a regression model that relates school expenditures and family background to student performance in Massachusetts using 224 school districts. The response
FILE A realtor in Arlington, Massachusetts, is analyzing the relationship between the sale price of a hom e (Price), its square footage (Sqft), the number of bedrooms (Beds), and the number of bathrooms (Baths). She collects data on 36 recent sales in Arlington in the first quarter of 2009 for the
A sociologist believes that the crime rate in an area is significantly influenced by the area's poverty rate and median income. Specifically, she hypothesizes crime will increase with poverty and decrease with income. She collects data on the crime rate (crimes per 100,000 residents), the poverty
Osteoporosis is a degenerative disease that primarily affects wom en over the age of 60. A research analyst wants to forecast sales of StrongBones, a prescription drug for treating this debilitating disease. She uses the model Sales = β 0 +β 1 Pop + β 2lnc + ε , where Sales refers to the sales
Consider the following sample data:52 49 45 54 45 52 40 34 11 10 9 13 9 13 6 7 25 39 25 24 31 22 28 21a. Estimate a multiple linear regression model and interpret the coefficient for x2.b. Find the predicted value for y if x1 equals 12 and x2 equals 30.Applications
Consider the followinq sample data:46 51 28 55 29 53 47 36 40 48 29 44 30 58 60 29 13 28 24 11 28 28 29 14a. Estimate a multiple linear regression model and interpret its coefficients.b. Find the predicted value for y if x1 equals 50 and x2 equals 20.
In a multiple regression, the following sample regression equation is obtained:ŷ = − 8 + 2.6x1 − 47.2x2.a. Predict y if x1 equals 40 and x2 equals− 10.b. Interpret the slope coefficient of x2.
F I L E In o rd e r to an s w e r th e fo llo w in g qu estio ns, use th e d a ta la b e le d H a p p in e s s a n d A g e on th e te x t w e b s ite .a. Use Excel to e s tim a te a s im p le regression m o d e l w ith happ iness as th e respo nse v a ria b le an d a g e as th e e x p la n a to ry
F I L E The fo llo w in g ta b le lists M a jo r Leagu e Baseball's (M LB's)le a d in g p itch ers, th e ir e arn e d run a v e ra g e (ERA), an d th e ir salary (g ive n in m illio n s o f do llars) fo r 2 0 0 8 . T h e d a ta are also a v a ila b le on th e te x t w e b s ite , la b e le d M L B
F I L E The co n s u m p tio n fu n c tio n cap tu res o n e o f th e key relatio n sh ip s in eco nom ics th a t w as firs t d e v e lo p e d by John M a yn ard K eynes. It expresses c o n s u m p tio n as a fu n c tio n o f d isp osab le in co me, w h e re d isp o sab le in co m e is in co m e a
A social scien tist w o u ld like to a n a ly ze th e re latio n s h ip b e tw e e n e d u c a tio n a l a tta in m e n t a n d salary. H e collects th e fo llo w in g sam p le d a ta , w h e re "E du cation" refers to years o f h ig h e r e d u c a tio n a n d "S alary" is th e in d ivid u al's a
T h e d ir e c t o r o f g r a d u a t e a d m is s io n s a t a la rg e u n iv e r s ity is a n a ly z in g th e re la tio n s h ip b e tw e e n scores o n t h e m a th p o r t io n o f t h e G r a d u a t e R e c o rd E x a m in a t io n (G R E) a n d s u b s e q u e n t p e rfo rm a n c e in g
C o n sid er th e fo llo w in g s a m p le data:x 22 24 27 21 23 14 14 15 y101 139 250 88 87 14 16 20a. C onstruct a scatterp lot and verify th a t e stim atin g a sim p le linear regression is a p p ro p ria te in this p ro b le m .b. Calculate b 0 and b1. W h a t is th e s am p le regression
C onsider th e fo llo w in g sam p le data:x 12 23 11 23 14 21 18 16 y28 43 21 40 33 41 37 32a. C onstruct a scatterp lot a nd verify th a t estim atin g a s im p le lin ear regression is a p p ro p ria te in this p ro b le m .b. Calculate b1, a n d b0. W h a t is th e s am p le regression
In a sim ple linear regression, th e fo llo w in g sam ple regression e q u a tio n is o b ta in e d :ŷ = 4 3 6 − 17x .a. In terp ret th e slope coefficient. P-69b. P r e d ic ty i f x e q u a ls −15.
In a sim ple linear regression, th e fo llo w in g sam ple regression e q u a tio n is o b tain e d :ŷ = 15 + 2.5x .a. P re d ic ty if x eq u als 10.b. W h a t happ en s to this predictio n if x doubles in value? P-69
Consider th e fo llo w in g data:a. Calculate rxy.b. Calculate b 0.c. W h a t is th e s am p le regression e q u a tio n ? Predict y if x equals - 5 . P-69
Consider th e fo llo w in g data:a. Calculate b 1.b. Calculate b 0.c. W h a t is th e s am p le regression e q u a tio n ? P red ict y if x equals 25. P-69
In a s im p le lin ear regression, th e fo llo w in g in fo rm a tio n is given:a. Calculate b1.b. Calculate b0.c. W h a t is th e s am p le regression e q u a tio n ? P redict y if x e q u a ls - 2 0 . P-69
In a sim ple linear regression, th e fo llo w in g in form atio n is given:a. Calculate b1.b. Calculate b 0.c. W h a t is th e s am p le regression eq u a tio n ? P red ict y if x equals 40. P-69
F I L E The fo llo w in g ta b le lists th e N ational Basketball Association's leading scorers, their average points per gam e(PPG), and their average m inutes per g am e (MPG) for 2008;th e data are also available on th e te xt w ebsite, labeled Points.PPG MPG D. Wade 30.2 38.6 L. James 28.4 37.7
F IL E M any attem pts have been m ad e to relate happiness w ith various factors. O ne such study relates happiness w ith age and finds th a t holding everything else constant, people are least happy w h en they are in th eir m id-40s (The E conom ist, D ec e m b e r 1 6 , 2 0 1 0 ). T h e a cc o
A realto r studies th e relatio n sh ip b e tw e e n th e size o f a house(in square feet) and th e prop erty taxes o w ed by th e owner.He collects th e follow ing data on six hom es in an affluent su b u rb 6 0 m iles o u tsid e o f N e w York City.Square Feet Property Taxes ($)Home 1 4,182
F I L E D iv e rs ific a tio n is c o n s id e re d im p o r t a n t in fin a n c e because it allo w s investors to red uce risk by investing in a v a r ie ty o f assets. It is e s p e c ia lly e ffe c tiv e w h e n th e c o rre la tio n b e tw e e n th e assets is lo w . C o n s id er th e a cc o
In June 2 0 0 9 an onslaught o f m iserable w e a th e r in N ew England played havoc w ith people's plans and psyches.How ever, th e dreary w e a th e r b ro u g h t a q u iet benefit to m an y city neighborhoods. Police reported th a t th e w e a th e r was a key factor in reducing fatal and no
A sam ple o f 25 observations provides th e follow ing statistics:sx = 2 , sy = 5, and sxy = − 1.75a. Calculate and in terpret th e sam ple correlation coefficient rxy.b. Specify th e co m p etin g hypotheses in order to d eterm in e w h eth er th e po pulation correlation coefficient differs
A sam ple o f 10 observations provides th e follow ing statistics:sx = 13, sy = 18, a n d sxy= 117.22a. Calculate and in terpret th e sam ple correlation coefficient rxy.b. Specify th e hypo th eses to d e te rm in e w h e th e r th e p o p u la tio n correlation coeffic ie n t is positive.c. C
Consider the following com peting hypotheses:Th e s am p le consists o f 3 0 ob se rva tio n s a nd th e sam ple co rrelation c o e ffic ie n t is - 0 . 6 0 .a. C alcu late th e v alu e o f th e test statistic.b. A pproxim ate th e p -value.c. At t h e 5 % significance level, w h a t is th e
C onsid er th e fo llo w in g c o m p e tin g hypotheses:The sample consists of 25 observations and the sample correlation coefficient is 0.15.a. Calculate the value o f the test statistic.b. At the 5% significance level, specify the critical value(s)and the decision rule.c. W hat is the conclusion
Consider th e follow ing sam ple data:x- 3 0 10 0 23 16 y44 -1 5 -1 0 - 2 5a. Construct and in terpret a scatterplot.b. Calculate and in terpret sxy.c. C alcu late a nd in te rp re t rxy. P-69
Consider the following sample data:x 8 5 3 10 2 y380 210 90 20 2a. Construct and in terpret a scatterplot.b. Calculate and interpret th e sam ple covariance.c. C alcu late and in terp re t th e sam p le correlation coefficient. P-69
Differentiate between R2 and adjusted R. P-69
Calculate and interpret the coefficient of determination R. P-69
Calculate and interpret the standard error of the estimate. P-69
Estimate the multiple linear regression model and interpret the coefficients. P-69
Estimate the simple linear regression model and interpret the coefficients. P-69
Discuss the limitations of correlation analysis. P-69
Conduct a hypothesis test for the population correlation coefficient. P-69
Use the Excel output from Table 13,16 to conduct the following hypothesis tests.a. At the 5% significance level, do average annual incomes differ by field of employment?b. At the 5% significance level, do average annual incomes differ by level of educational attainment?
Use the Excel output from Table 13,19 to determine whether field of employment and education level interact with respect to the average annual income at the 5%significance level.
Analysis of variance (ANOVA) tests are used to determine if differences exist between the means of three or more populations, thus generalizing the two-sample tests discussed in Chapter 10. The null hypothesis states that all population means are equal;thus, rejection of the null hypothesis
Establish whether average SAT scores differ by ethnicity.
Establish whether average SAT scores differ by instructor.
Determine if there is any interaction between instructor and ethnicity.
If differences exist between the average prices of products sold at the three stores, use Tukey’s HSD method to determine which stores’ prices differ.
Determine whether differences exist in the average prices of the 11 products at the 5% significance level.
Determine whether differences exist in the average prices of products sold at the three stores at the 5% significance level.
A m a n a g e m e n t consultan t w an ts to d e te rm in e w h e th e r th e age an d g e n d er o f a restaurant's w a it staff influence th e size o f th e tip th e c u s to m e r leaves. T h re e a g e brackets(factor A in colum ns: youn g, m id d le -a g e , older) and g e n d er(factor B in
F I L E (Use Excel) An environm entalist w ants to exam in e w h eth er average fuel consum ption (m easured in miles per gallon) is affected by fuel typ e (factor A ) and ty p e o f hybrid (factor 6).A random block exp erim e n t w ith replication is perform ed.Th e results are show n in th e
A t a g ym nastics m e e t, th re e ju d g e s e v a lu a te t h e balance b e a m p e rfo rm a n c e s o f five gym nasts. T h e ju d g e s use a scale o f 1 to 10, w h e re 10 is a pe rfec t score.Gymnast Judge Means 1 2 3 1 8.0 8.5 8.2 2 9.5 9.2 9.7 3 7.3 7.5 7.7 4 8.3 8.7 8.5 A statistician w
Th e fo llo w in g Excel o u tp u t for α = 0.05 sum m arizes a p o rtio n o f th e results fo r a r a n d o m iz e d b lo c k e x p e r im e n t w ith o u t in tera ctio n w h e re facto r A (co lu m n ) represents th re e in co m e categories (low , m e d iu m , high), fa cto r B(row s) consists
An acc o u n tin g professor w a n ts to k n o w if s tu d en ts p erfo rm th e sam e on th e d e p a rtm e n ta l final exam irrespective of th e acc o u n tin g section th e y a tte n d . T h e fo llo w in g Excel o u tp u t fo r α = 0 .0 5 su m m a rize s a p o rtio n o f th e results fo r a
Before th e recession, jo b -c re a tin g cities in th e S un belt, like Las Vegas, Phoenix, a n d O rla n d o saw th e ir po pulations, in co m e levels, and housing prices surge. Las Vegas, however, offered som eth ing th a t often elu d ed these o th er cities:u p w a rd m o b ility fo r th e w
An em p lo y e e o f a small softw are com p an y in M inneap olis bikes to w o rk du ring th e s u m m e r m onths. He can travel to w o rk using one o f three routes and w onders w h e th e r th e average c o m m u te tim es (in m inutes) differ b etw e e n th e three routes. He obtains th e
An eco nom ist w ants to d e te rm in e w h e th e r average Price/Earnings (P/E) ratios d iffer fo r firm s in th re e industries.In d e p e n d e n t sam ples o f fiv e firm s in each in d u s try s h o w th e follow ing results:In d u s try A 12.19 12.44 7.28 9.96 10.51 In d u s try B 14.34
A g o v e rn m e n t a g e n c y w a n ts to d e te rm in e w h e th e r th e a ve ra g e salaries o f fo u r vario us kinds o f tra n s p o rta tio n o p era to rs differ. A ra n d o m s a m p le o f fiv e e m p lo y e e s in each o f th e fo u r c ateg o ries yields t h e salary d a ta g iven in
F I L E (Use Excel) A human resource specialist wants to determ ine w h eth er the average jo b satisfaction score (on a scale of 0 to 100) is the same for three different industries and three types o f work experience. A randomized block experim ent w ith interaction is performed. The results are
F I L E (Use Excel) It is g e n e rally b elieved th a t a practical m ajo r such as business o r e n g in e e rin g can really p ay o ff fo r college gradu ates (C N N M o n e y .c o m , July 2 2 , 2 0 10). O th e r studies have show n th a t it is n o t ju st th e m ajo r b u t also h o w
F I L E A consum er advocate exam ines w h eth er th e lo ngevity o f car b atteries (m ea s u re d in years) is affec te d by t h e b ra n d n am e (factor A ) a nd w h e th e r or n o t th e car is k e p t in a garag e (factor B). In tera ctio n is suspected . Th e results are show n in th e
The effects of detergent brand nam e (factor A ) and the tem perature o f the w ater (factor B) on the brightness of washed fabrics are being studied. Four brand names and tw o tem perature levels are used, and six replicates for each com bination are examined. The follow ing ANOVA table is
A researcher c ond ucts a ra n d o m iz e d block e x p e rim e n t w ith interaction and provides th e follow ing ANOVA table.ANOVA Source of Variation SS df MS F p-value Sample 30.827 1 30.827 11.690 0.0031 Columns 169.861 2 84.930 32.208 1.13E-06 Interaction 4.241 2 2.120 0.804 0.4629 Within
A researcher conducts a random ized block experim ent w ith interaction and provides the following ANOVA table.ANOVA Source of Variation SS d f MS F p-value F crit Sample 752.78 2 M SB = ? FFactor B = ? 0.0116 3.885 Columns 12012.50 1 M S A = ? FFactor A = ? 5.62E-09 4.747 Interaction 58.33 2 MSAB
A ra n d o m iz e d block d esign has fo u r levels o f f a c to r A and th re e levels o f fa cto r B. Five replicates fo r each c o m b in a tio n are e x a m in e d . T h e results in clu de th e fo llo w in g sum o f square terms:a. Construct an ANOVA tableb. At the 5% significance level, can
A ra n d o m iz e d block d esign has th re e levels o f f a c to r A a n d five levels o f fa cto r B w h ere six replicates for each c o m b in a tio n are e x a m in e d . T h e results in clu d e th e fo llo w in g sum o f square term s:a. Construct an ANOVA table.b. At th e 1% significance
F I L E First N ational Bank em ploys three real estate appraisers w h o s e jo b is to establish a prop erty's m a rk e t v alu e before th e b a n k offers a m o rtg a g e to a p rospective buyer. It is im perative th a t each appraiser values a p ro p erty w ith no bias.S up pose First N atio n
F IL E G iven a recent o u tb rea k o f illness caused by F. co li bacteria, th e m ayor in a large city is c oncern ed th a t s om e o f his restaurant inspectors are not consistent w ith their evaluation s o f a restaurant's cleanliness. In ord er to investigate this possibility, th e m ayor has
D uring a typical Professional G olf Association (PGA)to urnam ent, the com peting golfers play four rounds of golf, w here the hole locations are changed for each round.Here are the scores for the top five finishers at the 2009 U.S. Open.Golfer Round 1 2 3 4 Lucas Glover 69 64 70 73 Phil Mickelson
T h e fo llo w in g o u tp u t s u m m arizes a p o rtio n o f th e results for a ran dom ized block e xp erim e n t w ith no in teraction in w h ich factor A consists o f fo u r d iffe re n t kinds o f o rg an ic fertilizers, factor B consists o f th re e d iffe re n t kinds o f soil a cid ity
T h e fo llo w in g ta b le sum m a rize s a p o rtio n o f th e results fo r a randomized block experim ent with no interaction.ANOVA Source of Variation SS df MS F p-value F crit Rows 1057 5 MSB = ? FFactor B = ? 0.0064 3.326 Columns 7 2 M S A = 1 FFactor A = ? 0.9004 4.103 Error 330 10 MSE = 1
The following table summarizes a portion o f the results for a randomized block experim ent with no interaction.ANOVA Source of Variation SS df MS F p-value F crit Rows 25.17 2 MSB = ? FFactor B = ? 0.0832 5.143 Columns 142.25 3 MSA = ? FFactor A = ? 0.0037 4.757 Error 19.50 6 MSE = ?Total 186.92
For a ran dom ized block design w ith no interaction having fo u r levels o f fa cto r A a n d th re e levels o f fa cto r B, th e results in clu d e th e fo llo w in g sum o f sq uare term s:a. Construct an ANOVA table.b. At the 1% significance level, can you conclude that the factor A means
For a ran dom ized block design having three treatm en ts and five blocks, th e results include th e follow ing sum o f square terms:SST = 311.7 SSA = 201.6 SSE = 69.3a. Construct an ANOVA table.b. At the 5% significance level, can you conclude that the row means differ?c. A t th e 5 % significance
The observations shown in the accompanying table were drawn from a random ized block design with no interaction.Factor B Factor A 1 2 3 1 5 15 12 10.6 2 2 10 8 6.7 3 0 −9 −2 −3.7 4 −3 −14 −8 −8.3 1.0 0.5 2.5a. Calculate SST, SSA, SSB, and SSE.b. Calculate MSA, MSB, and MSE.c.
The observations show n in th e accom panying tab le w ere draw n from a ran dom ized block design w ith no interaction.Factor B Factor A 12 3 4 1 2 3 2 4 2.8 2 6 5 7 6 6.0 3 8 10 9 10 9.3 5.3 6.0 6.0 6.7a. Calculate SST, SSA, SSB, and SSE.b. Calculate MSA, MSB, and MSE.c. Construct an ANOVA
F IL E (Use Excel) The accom panying tab le shows a portion o f q u a rte rly d ata on Nike's rev e n u e fo r th e fiscal years 2001 th ro u g h 2010. Data for a fiscal year refers to th e tim e period fro m June 1 th ro u g h M a y 31. T h e e n tire d a ta set can be fou nd on th e te xt w
Producers of a new grass seed called Pearl's Premium claim th at grass grown using its seed blend requires less m aintenance as compared to other brands (The Boston Globe, July 4 , 2009). For instance, grass grown using Pearl's Premium needs m ow ing only once a m onth. Suppose an independent
Do energy bills vary dramatically depending on where you live in the United States? Suppose 25 households from four regions in the United States are sampled. The values for the average annual energy bill are shown below and are consistent w ith those found by The Departm ent o f Energy(Money, June
The following Excel output summarizes the results for a completely randomized design of an analysis of variance experim ent in which the treatments were three different hybrid cars and the variable measured was the miles per gallon (mpg) obtained while driving the same route.Source of Variation SS
On a recent Monday morning betw een the hours of 7:00 AM and 8:00 AM, the following statistics were obtained relating to average time per order (in seconds):Excel produced the following ANOVA table:Source of Variation SS d f MS F p-value F crit Between Groups 811.70 2 405.85 52.11 5.5E-12 3.226
In an attem pt to improve efficiency, Starbucks has im plem ented "lean" Japanese techniques at m any o f its 11,000 U.S. stores (The W all Street Journal, August 4 , 2009). By reducing the tim e baristas (employees) spend on bending, reaching, and walking, they will have more tim e to interact
A completely randomized design o f an analysis o f variance experim ent produced a portion o f the following ANOVA table.SUMMARY Groups Count Average Column 1 10 349 Column 2 10 348 Column 3 10 366 Column 4 10 365 ANOVA Source o f Variation SS d f MS F p-value F crit Between Groups 2997.11 3 999.04
A c o m p le te ly ra n d o m iz e d d esign o f an analysis o f variance e x p e rim e n t p ro d u c ed a p o rtio n o f th e fo llo w in g ANO VA table.Groups Count Average Column 1 6 0.57 Column 2 6 1.38 Column 3 6 2.33 ANOVA Source of Variation SS df MS F p-value F crit Between Groups 9.12 2
The following statistics are calculated by sampling from four normal populations whose variances are equal:a. Use Fisher's LSD test to d e te rm in e w h ich population m eans differ at α = 0 .0 1 .b . Use Tukey's HSD te s t to d e te rm in e w h ic h p o p u latio n m eans differ at α = 0 .0 1
The following statistics are computed by sampling from three normal populations whose variances are equal:a. Calculate 95% confidence intervals for μ1 − μ 2 , μ1 − μ 3 , and μ2 − μ3 using Fisher's LSD approach.b. Repeat the analysis with Tukey's HSD approach.c. Which of these two
(Use Excel) A statistics instructor wonders w hether significant differences exist in her students'final exam scores in her three different sections. She random ly selects the scores from 10 different students in each section. A portion o f the data is shown below; the complete data, labeled Exam
An online survey by the S porting Goods M anufacturers Association, a trade group o f sports retailers and marketers, claim ed th a t household incom e o f recreational athletes varies by sport (The Wall Street Journal, August 10, 2009). In order to verify this claim, an econom ist samples five
A recent survey by G enworth Financial Inc., a financialservices company, concludes th a t the cost o f long-term care in the U.S. varies significantly, depending on where an individual lives (The Wall Street Journal, May 1 6 , 2009).An econom ist collects data from the five states w ith the
A w ell-know n conglom erate claims th a t its detergent"whitens and brightens better than all the rest." In order to compare the cleansing action o f the top three brands of detergents, 24 swatches o f w hite cloth were soiled w ith red wine and grass stains and then washed in front-loading
Asian residents in Boston have the highest average life expectancy o f any racial or ethnic group— a decade longer than black residents (The Boston Globe, August 1 6, 2010).Suppose sample results indicative o f the overall results are as follows.Asian Black Latino White n 1 = 20 n2 = 20 n3 = 20
A completely randomized design o f an analysis o f variance experiment produced a portion o f the follow ing ANOVA table.Source o f Variation SS d f MS F p-value F crit Between Groups 5 ? ? ? ?Within Groups 4321.11 54 ?Total 4869.48 59a. Fill in the missing statistics in the ANOVA table.b. Specify
A com pletely randomized design o f an analysis of variance experim ent produced a portion o f the accompanying ANOVA table.Source o f Variation SS d f MS F p-value F crit Between Groups 25.08 3 ? ? 0.0004 2.725 Within Groups 92.64 76 ?Total 117.72 79a. Fill in the missing statistics in the ANOVA
Given the follow ing inform ation, construct an ANOVA table and perform an ANOVA test o f mean differences at the 5%significance level.SST = 70.47; SSTR = 11.34; c = 4; n1 = n2 = n3 = n4 = 15 P-69
Given the follow ing inform ation, construct an ANOVA table and perform an ANOVA test o f mean differences at the 1 %significance level.SSTR = 220.7; SSE = 2,252.2; c = 3; n 1 = n2 = n3 = 8 P-69
Random sampling from four treatm ents produced the following data:Treatments A B C D− 11 − 8 − 8 − 12− 13 − 13 − 13 − 13− 10 − 15 − 8 − 15− 12 − 13− 10a. Calculate the grand mean.b. Calculate SSTR and MSTR.c. Calculate SSE and MSE.d. Specify the com peting hypotheses
A random sample of five observations from three treatments produced the following data:Treatments A B C 22 20 19 25 25 22 27 21 24 24 26 21 22 23 19a. Calculate the grand mean.b. Calculate SSTR and MSTR.c. Calculate SSE and MSE.d. Specify the com peting hypotheses in order to determ ine w hether
Conduct and evaluate hypothesis tests based on two-way ANOVA with interaction. P-69

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