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Solutions to test 2 of math 203, focusing on statistical inference and hypothesis testing. Topics covered include z-tests, t-tests, confidence intervals, and margin of error calculations.
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The percentage of patients for whom Treatment B worsens the condition is from 2. percentage points higher to 5.2 percentage points higher than the percentage of patients under Treatment A.
(Without re-writing the interval: The percentage of patients for whom Treatment A worsens the condition is from 5.2 percentage points lower to 2.4 percentage points lower than the percentage of patients under Treatment B.)
(b) It is clear that Treatment B has the higher percentage of patients with a worsening of the condition.
(b) We can use a ZโTest because the measurement is normally distributed and = 2 is known.
(c) z =
x โ
n
(d) If = 25 and = 2 were true, then there would be no chance of getting an x of 24.2 or lower with a sample of 400 cars. We can reject H 0.
(f) Because we have a large sample , we can still use the ZโTest even if the measurement were not normally distributed. Also, because of the large sample, we can use S as an approximation for and still use the ZโTest.
โ1.
(e)
= 0.
curve
Use โ1.96 for = 0..
(c) If = 6 were true, then there would be an 11.9% chance of getting an x of 6.3 or
higher with a sample of size 36. There is not enough evidence to reject H 0.
(d) n = 36, use t (35) curve
(e) t =
x โ S n
The test stat of 1.2 is not in the rejection region beyond 1.690; so x is not too large and there is not enough evidence to reject H 0.
(a) Test H 0 : p = 0.60 vs. Ha : p > 0.
(b) z =
p โ p p ร (1 โ p ) n
= 1.9365 (^) (c) 1.
curve
Use 1.96 for a 2.5% level of significance.
(d) If p = 0.60 were true, then there would be only a 2.64% chance of obtaining a p of
0.63 or higher with a sample of size 1000. We can reject H 0 because the P -value is less
than 0.05. (Also, the test stat of 1.9365 is in the rejection region beyond 1.645.)
(e) For = 0.025, the test statistic of z = 1.9365 is not in the rejection region beyond 1.96 (so the P -value is more than 0.025). Thus, with a 2.5% level of significance, p = 0. would not be considered too large and we would not have enough evidence to reject H 0.
z (^) /2 ร 0. e
2 = 909.254438 ; a sample of size 910 is required.
(b) n โฅ
= 604.322 ; so now we only need a sample of size 605.
= 0.36. Then p โ p ยฑ
z (^) /2 p (1โ p ) n
0.36 ยฑ 0.04. That is, 0.32 โค p โค 0.40. (Can use the 1โPropZInt to compute the confidence interval with this formula.)
With max margin of error: p โ p ยฑ
z (^) /2 ร 0. n
By Hand:
1 โ^2 โ^ ( x 1 โ^ x^ 2 )^ ยฑ^ z^ /
n 1
n 2
(a) Sp =
(b) Using the 2โSampTInt screen set to Pooled , we obtain โ0.5433 โค 1 โ 2 โค โ0.
(or 0.0567 โค 2 โ 1 โค 0.5433). That is, the average weight gain for babies on Formula B is from 0.0567 lbs higher to 0.5433 lbs higher than the average weight gain for babies on Formula A.