Basic Statistics for
n n
Business & Economics 7 n n n
th Canadian Edition by
n n n n
Douglas Lind n
Complete Chapter Solutions Manual ar
n n n n
e included (Ch 1 to 17)
n n n n n
** Immediate Download
n n
** Swift Response
n n
** All Chapters included
n n n
, CHAPTER 1 N
WHAT IS STATISTICS?
n n
1. a. Interval
b. Ratio
c. Ratio
d. Nominal
e. Ordinal
f. Ratio
g. Nominal
h. Ordinal
i. Nominal
j. Ratio (LO1-5)
2. a. Ratio
b. Ratio
c. Ratio
d. Ratio
e. Ratio
f. Ratio (LO1-5)
3. Answersn willn vary (LO1-6)
4. a. Sample
b. Population
c. Population
d. Sample n (LO1-3)
5. Qualitative ndatanarennotnnumerical,nwhereasnquantitativendatanarennumerical.nExamplesn
willn vary n by n student. (LO1-4)
6. An populationn isnthen entirengroupnwhichnyoun arenstudying.nAnsamplenisnansubsetntaken nfromn
an population. (LO1-3)
7. Discrete n variablesncannassumenonly ncertain nvalues,nwhereasncontinuousnvariablesncan n
assume n any n valuen within n an specific n range.n Examplesn willn vary. (LO1-4)
8. Then cellnphonenprovidernisnnominalnlevelndata.nThenminutesnusedn aren ration level.nSatisfactionni
sn ordinaln level. (LO1-5)
9. If n younwerenusingn onenstorenasntypicalnofnalln ofnthenstoresnsellingnelectronicnbook nreadersninnt
hen malln thennitn wouldn bensamplen data.nHowever,nifnyoun weren consideringnallnofnthenstoresnse
llingn electronic n book n readersn in n then mall,n then n then datan would n ben population n data.
(LO1-3)
10. Based n on nthesenfindings,nwencan ninfernthatn270/300norn90npercentn ofnthenexecutivesnwould n
move. (LO1-3)
-n 1 n - Chaptern1
,11. Ifnyoun weren usingn thisnstorenasn typicalnofn alln Bestn Buyn stores,n thenn thendailynnumbern sold n l
astnmonthn wouldnben ansample.n However,n ifnyounconsideredn thenstoren asn thenonlynstoren ofn i
nterest,n then n then daily n numbern sold n lastn month n would n ben an population. n n (LO1-3)
12. Thenclearnmajorityn ofncustomersnsurveyedn (400/500,norn 80%)n believen then take-
outn servicen isnexcellent.nBasednonn thisnfinding,nwen can nexpectn ansimilarn proportion nofnallncu
stomersn to n feeln then samen way.n n n (LO1-3)
13. a
Thisn yearntotalnsalesn=n1n 000 n772;nlastn yearntotalnsalesn=n942n 973;ntotalnsalesn
increased n aboutn 6% n fromn lastn yearn to n thisn year.
b. Increases:n Hockey n Men’sn Finalsn by n 19.9% n and n Hockey n Women’sn by n 23.5%.
Itn appearsnthatntherenhasnbeennansignificantnshiftnwithin nthenmarketnfromnlastnyearn t
o n thisn year.n (LO1-3)
14. a. qualitative (LO1-4)
b. nominal (LO1-5)
15. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. interval (LO1-5)
16. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. ratio (LO1-5)
17. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. ratio (LO1-5)
18. sample (LO1-3)
19. a. quantitative (LO1-4)
b. continuous (LO1-4)
c. ratio (LO1-5)
20. population (LO1-3)
21. sample (LO1-3)
22. a. qualitative (LO1-4)
b. nominal (LO1-5)
23. a. qualitative (LO1-4)
b. nominal (LO1-5)
24. a. An samplen isn used n because n itn isn difficultn to n locaten every n student.
b. An population n isn employed n because n then information n isn easy n to n find.
c. An population n isn used n because n then information n isn easy n to n find.
d. An samplenworksn because n itn isn difficultn to n locaten every n musical.(LO1-3)
-n 2 n - Chaptern1
, 25. a. discrete,nquantitative,n ratio
b. discrete,nqualitative,n nominal
c. discrete,nquantitative,n ratio
d. discrete,nqualitative,n nominal
e. continuous, nquantitative,n interval
f. continuous, nquantitative,ninterval
g. discrete,nqualitative,n ordinal
h. discrete,nqualitative,n ordinal
i. discrete,nquantitative,n ratio (LO1-4 n& n1-5)
26. a. Qualitative:nCompany,n Industry,n Established,n Public,n Parent,n Physicaln rating,
Cafeteria,n and n on n siten fitness
Quantitative:n Fulln time,n Partn time,n % n Contract,n and n Startingn vacation (LO1-4)
b. Nominal:n Company, n Industry,n Established,n Public,n Parent,n Cafeteria,n on-site
fitness
Ordinal:n Physicaln rating
Ratio:n Fulln time,n Partn time,n % n Contract,n and n Startingn vacation n (LO1-5)
27 a. Qualitative:nregion
Quantitative:n average n housen prices (LO1-4)
b. Nominal:nregion
Ratio:n averagen house n prices (LO1-5)
28. a. Qualitative:n Teamn name,n Country,n Starn power.
Quantitative:nFMVnworth,nRevenue,n Temperature,n TotalnSnow,nAveragenAtten
dance,nPostn season,nAppearance ninnthencup,nCupnwins,n2019/2020n season npoints
(LO1-4)
b.
Nominal:nTeamnname,nCountry
nOrdinal:n Starn power
Interval:n Temperature
Ratio:n FMVn worth,nRevenuenTotalnSnow,nAveragenattendance,nPostn Season,n A
ppearancesn in n then Cup,n Cup n wins,n 2019/2020 n Points.n (LO1-5)
-n 3 n - Chaptern1
n n
Business & Economics 7 n n n
th Canadian Edition by
n n n n
Douglas Lind n
Complete Chapter Solutions Manual ar
n n n n
e included (Ch 1 to 17)
n n n n n
** Immediate Download
n n
** Swift Response
n n
** All Chapters included
n n n
, CHAPTER 1 N
WHAT IS STATISTICS?
n n
1. a. Interval
b. Ratio
c. Ratio
d. Nominal
e. Ordinal
f. Ratio
g. Nominal
h. Ordinal
i. Nominal
j. Ratio (LO1-5)
2. a. Ratio
b. Ratio
c. Ratio
d. Ratio
e. Ratio
f. Ratio (LO1-5)
3. Answersn willn vary (LO1-6)
4. a. Sample
b. Population
c. Population
d. Sample n (LO1-3)
5. Qualitative ndatanarennotnnumerical,nwhereasnquantitativendatanarennumerical.nExamplesn
willn vary n by n student. (LO1-4)
6. An populationn isnthen entirengroupnwhichnyoun arenstudying.nAnsamplenisnansubsetntaken nfromn
an population. (LO1-3)
7. Discrete n variablesncannassumenonly ncertain nvalues,nwhereasncontinuousnvariablesncan n
assume n any n valuen within n an specific n range.n Examplesn willn vary. (LO1-4)
8. Then cellnphonenprovidernisnnominalnlevelndata.nThenminutesnusedn aren ration level.nSatisfactionni
sn ordinaln level. (LO1-5)
9. If n younwerenusingn onenstorenasntypicalnofnalln ofnthenstoresnsellingnelectronicnbook nreadersninnt
hen malln thennitn wouldn bensamplen data.nHowever,nifnyoun weren consideringnallnofnthenstoresnse
llingn electronic n book n readersn in n then mall,n then n then datan would n ben population n data.
(LO1-3)
10. Based n on nthesenfindings,nwencan ninfernthatn270/300norn90npercentn ofnthenexecutivesnwould n
move. (LO1-3)
-n 1 n - Chaptern1
,11. Ifnyoun weren usingn thisnstorenasn typicalnofn alln Bestn Buyn stores,n thenn thendailynnumbern sold n l
astnmonthn wouldnben ansample.n However,n ifnyounconsideredn thenstoren asn thenonlynstoren ofn i
nterest,n then n then daily n numbern sold n lastn month n would n ben an population. n n (LO1-3)
12. Thenclearnmajorityn ofncustomersnsurveyedn (400/500,norn 80%)n believen then take-
outn servicen isnexcellent.nBasednonn thisnfinding,nwen can nexpectn ansimilarn proportion nofnallncu
stomersn to n feeln then samen way.n n n (LO1-3)
13. a
Thisn yearntotalnsalesn=n1n 000 n772;nlastn yearntotalnsalesn=n942n 973;ntotalnsalesn
increased n aboutn 6% n fromn lastn yearn to n thisn year.
b. Increases:n Hockey n Men’sn Finalsn by n 19.9% n and n Hockey n Women’sn by n 23.5%.
Itn appearsnthatntherenhasnbeennansignificantnshiftnwithin nthenmarketnfromnlastnyearn t
o n thisn year.n (LO1-3)
14. a. qualitative (LO1-4)
b. nominal (LO1-5)
15. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. interval (LO1-5)
16. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. ratio (LO1-5)
17. a. quantitative (LO1-4)
b. discrete (LO1-4)
c. ratio (LO1-5)
18. sample (LO1-3)
19. a. quantitative (LO1-4)
b. continuous (LO1-4)
c. ratio (LO1-5)
20. population (LO1-3)
21. sample (LO1-3)
22. a. qualitative (LO1-4)
b. nominal (LO1-5)
23. a. qualitative (LO1-4)
b. nominal (LO1-5)
24. a. An samplen isn used n because n itn isn difficultn to n locaten every n student.
b. An population n isn employed n because n then information n isn easy n to n find.
c. An population n isn used n because n then information n isn easy n to n find.
d. An samplenworksn because n itn isn difficultn to n locaten every n musical.(LO1-3)
-n 2 n - Chaptern1
, 25. a. discrete,nquantitative,n ratio
b. discrete,nqualitative,n nominal
c. discrete,nquantitative,n ratio
d. discrete,nqualitative,n nominal
e. continuous, nquantitative,n interval
f. continuous, nquantitative,ninterval
g. discrete,nqualitative,n ordinal
h. discrete,nqualitative,n ordinal
i. discrete,nquantitative,n ratio (LO1-4 n& n1-5)
26. a. Qualitative:nCompany,n Industry,n Established,n Public,n Parent,n Physicaln rating,
Cafeteria,n and n on n siten fitness
Quantitative:n Fulln time,n Partn time,n % n Contract,n and n Startingn vacation (LO1-4)
b. Nominal:n Company, n Industry,n Established,n Public,n Parent,n Cafeteria,n on-site
fitness
Ordinal:n Physicaln rating
Ratio:n Fulln time,n Partn time,n % n Contract,n and n Startingn vacation n (LO1-5)
27 a. Qualitative:nregion
Quantitative:n average n housen prices (LO1-4)
b. Nominal:nregion
Ratio:n averagen house n prices (LO1-5)
28. a. Qualitative:n Teamn name,n Country,n Starn power.
Quantitative:nFMVnworth,nRevenue,n Temperature,n TotalnSnow,nAveragenAtten
dance,nPostn season,nAppearance ninnthencup,nCupnwins,n2019/2020n season npoints
(LO1-4)
b.
Nominal:nTeamnname,nCountry
nOrdinal:n Starn power
Interval:n Temperature
Ratio:n FMVn worth,nRevenuenTotalnSnow,nAveragenattendance,nPostn Season,n A
ppearancesn in n then Cup,n Cup n wins,n 2019/2020 n Points.n (LO1-5)
-n 3 n - Chaptern1