STATISTICS2 Solution Question 1 Solution Sample size = 10 packages Average weight of packages =200 grams Standard deviation =2.5 grams We need to determine the 92% confidence interval. The degrees of freedom are given by: df=10−1=9 The∝=0.08. For the given alpha value, and 9 degrees if freedom the critical value of t is tc=1.973. The confidence interval is given by: CI=(X−tcxs √n,X+tcxs √n) Therefore CI=(200−1.973x2.5 √10,200+1.973x2.5 √10) lowerlimit=(200−1.56)=198.44 lowerlimit=(200+1.56)=201.56 The 92% confidence interval is: CI=198.44≤X≤201.56
STATISTICS3 Question 2 Solution Sample size = 35 packages Average weight of packages =454 grams Standard deviation =20 grams We need to determine the 98% confidence interval. The degrees of freedom are given by: df=35−1=34 The∝=0.02. For the given alpha value, and 34 degrees of freedom the critical value of t is tc=2.441The confidence interval is given by: CI=(X−tcxs √n,X+tcxs √n) Therefore CI= (454−2.441x20 √35,454+2.441x20 √35) lowerlimit=(454−8.253,)=445.747 lowerlimit=(454+8.253)=462.253 The 98% confidence interval is: CI=445.747≤X≤462.253
STATISTICS4 Question 3 Solution Total number of burgers =536, the number of burgers made with vegetarian meat =134. The proportion of burgers made with vegetarian meat is given by: proportion=134 536=0.25 We need to determine 95% confidence interval of the proportion. The critical value for∝=0.05 andZC=Z1−∝ 2 =1.96. The confidence interval is: CI=(^P−Zc√^P(1−^P) n,^P+Zc√^P(1−^P) n) CI=(0.25−1.96∗ √0.25(1−0.25) 536,0.25+1.96∗ √0.25(1−0.25) 536) lowerlimit=(0.25−0.037)=0.213 lowerlimit=(0.25+0.037)=0.287 The 95% confidence interval of proportion is: CI=0.213≤p≤0.287
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STATISTICS5 Question 4 Solution Proportion that run behind the schedule = 10%=0.1 Margin of error =3%= 0.03 We need to determine the 90% confidence interval. The estimate of proportion=0.1. The critical value for the significance level∝=0.9is: ∝=1−0.9=0.1 ∝ 2=0.1 2=0.05 From the Z-table Zc=1.645 The minimum sample size required is: ^p=0.10 1−^p=1−0.10=0.9 n=(Z∝ 2 E) 2 x^p(1−^p) n=(1.645 0.03) 2 ∗0.10∗0.9=270.6 The sample size that could be required is =271. The confidence interval is: CI=(^P−Zc√^P(1−^P) n,^P+Zc√^P(1−^P) n) CI=(0.1−1.645∗ √0.1(1−0.1) 271,0.1+1.645∗ √0.1(1−0.1) 271) lowerlimit=(0.1−0.03)=0.07
STATISTICS6 lowerlimit=(0.1+0.03)=0.13 The 95% confidence interval of proportion is: CI=0.07≤p≤0.13 CI=7%≤p≤13% Question 5 Solution The margin of error required = 1.5mg The standard deviation =0.75mg The confidence interval=99% We need to determine the sample size required. The critical value of z for 99% confidence interval isZ∝ 2 =2.576 The sample size is given by: n=(Z∝ 2 xσ E) 2 n=(2.576x0.75 1.5) 2 n=1.6 The sample size required is equal to 2mg
STATISTICS7 Question 6: Solution The sample size of the packages of hamburger bun is smaller than that of the packages of hotdogs. The small sample size necessitates the need to check for normality unlike in the case where the sample size is sufficiently large because as the sample size increase the distribution of sample means becomes close to normal as per the central limit theorem (Rugg & Petre, 2017). Question 7: Solution If the analyst for BC transit estimated the interval to be 8.2% and 12.1%, the sample evidence would be consistent with his prior belief that 10% of the busses run behind schedule. This because the confidence interval estimated initially for the proportion is7%≤p≤13%and the value estimated in this case falls within the range (Levie, 2012). Question 8: Solution Yes, we can reasonable conclude that fewer than 32% of all burgers sold by the A&W franchise from problem 3 are made of vegetarian meat substitute. This is because from the initial result, the confidence interval for burgers made of vegetarian meat is 21.3% and 28.7% and since this range of confidence interval is below the 32%, then its true to say that fewer than 32% of the burgers are made of vegetarian meat substitute.
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STATISTICS8 References Levie, P.R. (2012). Advanced excel for scientific data analysis (2nd ed). New York, NY:Oxford University Press. Rugg, G., & Petre, M. (2017). A gentle guide to research methods. Maidenhead: Open University Press.