A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact test, and on 19 of these helmets some damage was observed. (a) Find a 95% two-sided confidence interval on the true proportion of helmets of this type that would show damage from this test. Round your answers to 3 decimal places. ≤P≤ (b) Using the point estimate of p obtained from the preliminary sample of 50 helmets, how many helmets must be tested to be 95% confident that the error in estimating the true value of p is less than 0.02? n = i i (c) How large must the sample be if we wish to be at least 95% confident that the error in estimating p is less than 0.02, regardless of the true value of p? n = Statistical Tables and Charts

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A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact
test, and on 19 of these helmets some damage was observed.
(a) Find a 95% two-sided confidence interval on the true proportion of helmets of this type that would show damage from this test.
Round your answers to 3 decimal places.
≤P≤
(b) Using the point estimate of p obtained from the preliminary sample of 50 helmets, how many helmets must be tested to be 95%
confident that the error in estimating the true value of p is less than 0.02?
n=
(c) How large must the sample be if we wish to be at least 95% confident that the error in estimating p is less than 0.02, regardless of
the true value of p?
n=
Statistical Tables and Charts
Transcribed Image Text:A random sample of 50 suspension helmets used by motorcycle riders and automobile race-car drivers was subjected to an impact test, and on 19 of these helmets some damage was observed. (a) Find a 95% two-sided confidence interval on the true proportion of helmets of this type that would show damage from this test. Round your answers to 3 decimal places. ≤P≤ (b) Using the point estimate of p obtained from the preliminary sample of 50 helmets, how many helmets must be tested to be 95% confident that the error in estimating the true value of p is less than 0.02? n= (c) How large must the sample be if we wish to be at least 95% confident that the error in estimating p is less than 0.02, regardless of the true value of p? n= Statistical Tables and Charts
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