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In each of the following cases, compute 95 percent, 98 percent, and 99 percent confidence intervals...

In each of the following cases, compute 95 percent, 98 percent, and 99 percent confidence intervals for the population proportion p.

(a) pˆp^ = .6 and n = 100 (Round your answers to 3 decimal places.)

95 percent confidence intervals is [, ]
98 percent confidence intervals is [, ]
99 percent confidence intervals is [, ]


(b) pˆp^ = .5 and n = 299. (Round your answers to 3 decimal places.)

95 percent confidence intervals is [, ]
98 percent confidence intervals is [, ]
99 percent confidence intervals is [, ]


(c) pˆp^ = .7 and n = 121. (Round your answers to 3 decimal places.)


95 percent confidence intervals is [, ]
98 percent confidence intervals is [, ]
99 percent confidence intervals is [, ]


(d) pˆp^ = .8 and n = 56. (Round your answers to 3 decimal places.)


95 percent confidence intervals is [, ]
98 percent confidence intervals is [, ]
99 percent confidence intervals is [, ]

Solutions

Expert Solution

Part a)

i)

p̂ = 0.6
p̂ = 1 - p̂ = 0.4
n = 100
p̂ ± Z(α/2) √( (p * q) / n)
0.6 ± Z(0.05/2) √( (0.6 * 0.4) / 100)
Z(α/2) = Z(0.05/2) = 1.96
Lower Limit = 0.6 - Z(0.05) √( (0.6 * 0.4) / 100) = 0.504
upper Limit = 0.6 + Z(0.05) √( (0.6 * 0.4) / 100) = 0.696
95% Confidence interval is ( 0.504 , 0.696 )
( 0.504 < P < 0.696 )

ii)

p̂ = 0.6
p̂ = 1 - p̂ = 0.4
n = 100
p̂ ± Z(α/2) √( (p * q) / n)
0.6 ± Z(0.02/2) √( (0.6 * 0.4) / 100)
Z(α/2) = Z(0.02/2) = 2.326
Lower Limit = 0.6 - Z(0.02) √( (0.6 * 0.4) / 100) = 0.486
upper Limit = 0.6 + Z(0.02) √( (0.6 * 0.4) / 100) = 0.714
98% Confidence interval is ( 0.486 , 0.714 )
( 0.486 < P < 0.714 )

iii)

p̂ = 0.6
p̂ = 1 - p̂ = 0.4
n = 100
p̂ ± Z(α/2) √( (p * q) / n)
0.6 ± Z(0.01/2) √( (0.6 * 0.4) / 100)
Z(α/2) = Z(0.01/2) = 2.576
Lower Limit = 0.6 - Z(0.01) √( (0.6 * 0.4) / 100) = 0.4738
upper Limit = 0.6 + Z(0.01) √( (0.6 * 0.4) / 100) = 0.7262
99% Confidence interval is ( 0.474 , 0.726 )
( 0.474 < P < 0.726 )

Part b)

i)

p̂ = 0.5
p̂ = 1 - p̂ = 0.5
n = 299
p̂ ± Z(α/2) √( (p * q) / n)
0.5 ± Z(0.05/2) √( (0.5 * 0.5) / 299)
Z(α/2) = Z(0.05/2) = 1.96
Lower Limit = 0.5 - Z(0.05) √( (0.5 * 0.5) / 299) = 0.4433
upper Limit = 0.5 + Z(0.05) √( (0.5 * 0.5) / 299) = 0.5567
95% Confidence interval is ( 0.443 , 0.557 )
( 0.443 < P < 0.557 )

ii)
p̂ = 0.5
p̂ = 1 - p̂ = 0.5
n = 299
p̂ ± Z(α/2) √( (p * q) / n)
0.5 ± Z(0.02/2) √( (0.5 * 0.5) / 299)
Z(α/2) = Z(0.02/2) = 2.326
Lower Limit = 0.5 - Z(0.02) √( (0.5 * 0.5) / 299) = 0.4327
upper Limit = 0.5 + Z(0.02) √( (0.5 * 0.5) / 299) = 0.5673
98% Confidence interval is ( 0.433 , 0.567 )
( 0.433 < P < 0.567 )

iii)
p̂ = 0.5
p̂ = 1 - p̂ = 0.5
n = 299
p̂ ± Z(α/2) √( (p * q) / n)
0.5 ± Z(0.01/2) √( (0.5 * 0.5) / 299)
Z(α/2) = Z(0.01/2) = 2.576
Lower Limit = 0.5 - Z(0.01) √( (0.5 * 0.5) / 299) = 0.4255
upper Limit = 0.5 + Z(0.01) √( (0.5 * 0.5) / 299) = 0.5745
99% Confidence interval is ( 0.426 , 0.574 )
( 0.426 < P < 0.574 )

Part c)

i)

p̂ = 0.7
p̂ = 1 - p̂ = 0.3
n = 121
p̂ ± Z(α/2) √( (p * q) / n)
0.7 ± Z(0.05/2) √( (0.7 * 0.3) / 121)
Z(α/2) = Z(0.05/2) = 1.96
Lower Limit = 0.7 - Z(0.05) √( (0.7 * 0.3) / 121) = 0.6183
upper Limit = 0.7 + Z(0.05) √( (0.7 * 0.3) / 121) = 0.7817
95% Confidence interval is ( 0.618 , 0.782 )
( 0.618 < P < 0.782 )

ii)

p̂ = 0.7
p̂ = 1 - p̂ = 0.3
n = 121
p̂ ± Z(α/2) √( (p * q) / n)
0.7 ± Z(0.02/2) √( (0.7 * 0.3) / 121)
Z(α/2) = Z(0.02/2) = 2.326
Lower Limit = 0.7 - Z(0.02) √( (0.7 * 0.3) / 121) = 0.6031
upper Limit = 0.7 + Z(0.02) √( (0.7 * 0.3) / 121) = 0.7969
98% Confidence interval is ( 0.603 , 0.797 )
( 0.603 < P < 0.797 )

iii)

p̂ = 0.7
p̂ = 1 - p̂ = 0.3
n = 121
p̂ ± Z(α/2) √( (p * q) / n)
0.7 ± Z(0.01/2) √( (0.7 * 0.3) / 121)
Z(α/2) = Z(0.01/2) = 2.576
Lower Limit = 0.7 - Z(0.01) √( (0.7 * 0.3) / 121) = 0.5927
upper Limit = 0.7 + Z(0.01) √( (0.7 * 0.3) / 121) = 0.8073
99% Confidence interval is ( 0.593 , 0.807 )
( 0.593 < P < 0.807 )

Part d)

i)
p̂ = 0.8
p̂ = 1 - p̂ = 0.2
n = 56
p̂ ± Z(α/2) √( (p * q) / n)
0.8 ± Z(0.05/2) √( (0.8 * 0.2) / 56)
Z(α/2) = Z(0.05/2) = 1.96
Lower Limit = 0.8 - Z(0.05) √( (0.8 * 0.2) / 56) = 0.6952
upper Limit = 0.8 + Z(0.05) √( (0.8 * 0.2) / 56) = 0.9048
95% Confidence interval is ( 0.695 , 0.905 )
( 0.695 < P < 0.905 )

ii)
p̂ = 0.8
p̂ = 1 - p̂ = 0.2
n = 56
p̂ ± Z(α/2) √( (p * q) / n)
0.8 ± Z(0.02/2) √( (0.8 * 0.2) / 56)
Z(α/2) = Z(0.02/2) = 2.326
Lower Limit = 0.8 - Z(0.02) √( (0.8 * 0.2) / 56) = 0.6757
upper Limit = 0.8 + Z(0.02) √( (0.8 * 0.2) / 56) = 0.9243
98% Confidence interval is ( 0.676 , 0.924 )
( 0.676 < P < 0.924 )

iii)
p̂ = 0.8
p̂ = 1 - p̂ = 0.2
n = 56
p̂ ± Z(α/2) √( (p * q) / n)
0.8 ± Z(0.01/2) √( (0.8 * 0.2) / 56)
Z(α/2) = Z(0.01/2) = 2.576
Lower Limit = 0.8 - Z(0.01) √( (0.8 * 0.2) / 56) = 0.6623
upper Limit = 0.8 + Z(0.01) √( (0.8 * 0.2) / 56) = 0.9377
99% Confidence interval is ( 0.662 , 0.938 )
( 0.662 < P < 0.938 )


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