In: Statistics and Probability
19. A sample of 64 elements from a population with a standard deviation of 48 is selected. The sample mean is 170. You are asked to construct a 95% confidence interval for μ. The lower bound (or lower limit) for that interval is . . . (NOTE: Round your final answer to 2 decimal places - such as 14.12 or 31.00 or 99.55)
10. A local electronics firm wants to determine their average daily sales (in dollars.) A sample of the sales for 36 days revealed an average sales of $141,000. Assume that the standard deviation of the population is known to be $12,000. Then, the 95% margin of error will be
Provide a 95% confidence interval estimate for the true average daily sales.
$140,160 to $141,840 |
|
$132,800 to 139,200 |
|
$135,600 to $143,400 |
|
$137,080 to $144,920 |
|
$139,500 to $143,000 |
|
$140,600 to $143,200 |
|
$136,200 to $142,200 |
19)
Solution :
Given that,
Point estimate = sample mean = = 170
Population standard deviation = = 48
Sample size = n = 64
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2* ( /n)
=1.96 * (48 / 64)
= 11.76
At 95% confidence interval estimate of the population mean is,
- E < < + E
170 - 11.76 < < 170 + 11.76
158.24 < < 181.76
Lower bound = 158.24
Upper bound = 181.76
10
Given that,
Point estimate = sample mean = = 141000
Population standard deviation = = 12000
Sample size = n = 36
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z/2* ( /n)
=1.96 * (12000 / 36)
= 3920
Margin of error = 3920
At 95% confidence interval estimate of the population mean is,
- E < < + E
141000 -3920 < < 14100 + 3920
137080 < < 144920