3. An aerospace parts factory has two separate production lines making fasteners; each production line can be regarded as creating a separate population of fasteners. A sample of 25 fasteners is selected from each production line for quality control inspection. The width of each selected fastener is measured; and the standard deviations s1 and s2 in the measured widths of selected fasteners for each production line are calculated. If the standard deviation in fastener width for each production line population is unknown, can the sample values s1 and s2 be used instead? Yes (correct) No 4. The US Mint selects ten pennies from the production line to test the hypothesis that the mean weight of each penny is at least 6 grams. The normally-distributed weights (in grams) of these pennies are as follows: 6, 6, 8, 5, 9, 5, 9, 2, 3, 8. Assume a = 0.01. • State the null and alternate hypotheses • Calculate the sample mean and standard deviation • Determine which test statistic is appropriate (z or t), and calculate its value. • Determine the critical value(s). • State your decision: Should the null hypothesis be rejected? H0: u ≤ 6 Ha: u > 6 𝑥̅ = 6.1 s= 2.4244 n=10 t-statistic = t = (𝑥̅ − 𝑢)/(𝑠/√𝑛)=(6.1-6)/(2.4244/10)=0.0375 Critical value = t(,n-1)=t(0.01,9)=2.821 Reject region: {t/t>2.821} Decision: since the statistic = 0.0375<2.821 we fail to reject H0 5. A watch manufacturer creates watch springs whose properties must be consistent. In particular, the standard deviation in their weights must be no greater than 2.0 grams. Fifteen watch springs are selected from the production line and measured; their weights are 1, 3, 1, 7, 5, 3, 9, 9, 7, 3, 10, 8, 5, 7, and 9 grams. Assume a = 0.10. • State the null and alternate hypotheses • Calculate the sample standard deviation • Determine which test statistic is appropriate (chi-square or F), and calculate its value. • Determine the critical value(s). • State your decision: Should the null hypothesis be rejected? H0: ≤2 Ha: >2 s = 3.028 n=15 Chi-square stastistic: =(n-1)s/ Critical value: n-1)=14)=21.064 Reject region: { Decision: Since statistic is 32.091>21.064 we reject H0 (null hypothesis should be rejected) 6. A telephone survey gives 670 consumers two choices: Do they prefer Coke or Pepsi? Exactly 158 of those surveyed state that they prefer Coke. Assuming that a = 0.10, test the hypothesis that the proportion of the population that prefers Coke is 50%. • State the null and alternate hypotheses • Calculate the sample proportion • Calculate the value of the test statistic. • Determine the critical value(s). • State your decision: Should the null hypothesis be rejected? H0:p=0.5 Ha:p≠0.5 sample proportion=𝑝̂ =158/670=0.2358 Statistic: z-statistic =(𝑝̂ -p)/√(p*(1-p)/n) = (0.2358-0.5)/√(0.5*0.5/670)=-13.68 Critical value is z(0.05)=1.645 Reject region is : {z/z<-1.645 or z>1.645} Since z-statistic =-13.68<-1.645 we reject H0 Yes, H0 should be rejected 7. Two groups of ten sprinters run 100 meters. The times required by sprinters in the first group are as follows: 13.4 10.4 14.9 10.1 12.5 13.8 13.7 11.1 11.0 10.9 The times required by sprinters in the second group are as follows: 12.1 15.1 12.1 11.4 16.7 18.1 16.3 10.1 18.1 16.9 Assuming that a = 0.10, test the hypothesis that the means of the two populations are equal. • State the null and alternate hypotheses • Calculate the mean and standard deviation for each group • Calculate the value of the test statistic. • Determine the critical value(s). • State your decision: Should the null hypothesis be rejected? Mean of group 1 =𝑥̅1 = 11.164 Mean of group 2 = 𝑥̅2 = 13.536 Standard deviation of group 1 = s1 = 3.732 Standard deviation of group 2 = s2 = 4.761 H0 = u1=u2 Ha: u1≠u2 =0.05 n1=n2=10 (𝑛1−1)𝑠12 +(𝑛2−1)𝑠22 sp = √ 𝑛1+𝑛2−2 t-statistic = 𝑥̅1 −𝑥̅2 1 1 𝑠𝑝 √ + 10 10 =√ 9∗3.7322 +9∗4.7612 =4.278 18 11.164−13.536 = 4.278√1/5 = -1.24 Critical values are: ±t(/2,n1+n2-2)=±t(0.05,18)=±1.734 Reject region: {t/t<-1.734 or t>1.734} Decision: Since t-statistic =-1.24[-1.734,1.734] we don´t reject H0