In: Statistics and Probability
| 
 100,095  | 
 81,395  | 
 77,851  | 
 68,184  | 
 51,784  | 
 68,158  | 
 94,436  | 
 66,446  | 
 75,556  | 
| 
 78,621  | 
 74,185  | 
 44,588  | 
 86,744  | 
 60,998  | 
 57,664  | 
 55,388  | 
 78,844  | 
 61,904  | 
| 
 47,480  | 
 98,368  | 
 80,618  | 
 93,023  | 
 63,344  | 
 75,122  | 
 51,049  | 
 60,873  | 
 82,029  | 
| 
 91,267  | 
 84,094  | 
 79,834  | 
 63,872  | 
 73,989  | 
 57,207  | 
 46,919  | 
 88,912  | 
  | 
  | 
(a) Find the sample mean.
(b) Find the sample standard deviation.
c) Construct a 95%
confidence interval for the population mean
and the population standard deviation
Assume the sample is taken from a normally distributed population.
c=0.98
s=38
n=15
 
 10 randomly selected automotive batteries is shown  | 
Assume the sample is taken from a normally distributed population. Construct 90%
confidence intervals for (a) the population variance
and (b) the population standard deviation.
14 randomly selected 32-inch LCD televisions have a sample standard deviation of
$3.83. Assume the sample is taken from a normally distributed population. Construct
95% confidence intervals for (a) the population variance
and (b) the population standard deviation
Sample of 21 people at a bank have a sample standard deviation of
3.4 minutes. Construct a confidence interval for the population variance
and the population standard deviation
Use a 95 %level of confidence. Assume the sample is from a normally distributed population.
n = 35
Let x be the annual earnings (in dollars) of 35 randomly selected microbiologists
| x | (x - x bar)^2 | |
| 100095 | 787979356.7 | |
| 78621 | 43520013.18 | |
| 47480 | 602409408.6 | |
| 91267 | 370291894.4 | |
| 81395 | 87815078.74 | |
| 74185 | 4669791.341 | |
| 98368 | 694004755.4 | |
| 84094 | 145684175.8 | |
| 77851 | 33953579.38 | |
| 44588 | 752735742.2 | |
| 80618 | 73856320.36 | |
| 79834 | 60995631.4 | |
| 68184 | 14745830.4 | |
| 86744 | 216677516.8 | |
| 93023 | 440956741.1 | |
| 63872 | 66455593.12 | |
| 51784 | 409658814.4 | |
| 60998 | 121573337.6 | |
| 63344 | 75342920.8 | |
| 73989 | 3861107.101 | |
| 68158 | 14946187.96 | |
| 57664 | 206210461.6 | |
| 75122 | 9597418.121 | |
| 57207 | 219544378 | |
| 94436 | 502296399.3 | |
| 55388 | 276757494.2 | |
| 51049 | 439951883.5 | |
| 46919 | 630262531.3 | |
| 66446 | 31114418.68 | |
| 78844 | 46511990.8 | |
| 60873 | 124345470.1 | |
| 88912 | 285203530.7 | |
| 75556 | 12474812.08 | |
| 61904 | 102415007.2 | |
| 82029 | 100099424.7 | |
| Total | 2520841 | 8008919017 | 
a)
Sample mean :

Sample mean = 72024.03
b)
Sample standard deviation :.




s = 15347.85 (Round to 2 decimal)
Sample standard deviation = 15347.85
c)
Confidence level = c = 0.98
alpha = 1 - c = 1 - 0.98 = 0.02
Degrees of freedom = n - 1 = 35 - 1 = 34
98% confidence interval for the population mean is

where tc is t critical value for alpha = 0.02 and df = 34
tc from excel using function:
=TINV(0.02,34)
=2.441 (Round to 3 decimal)




98% confidence interval for the population mean is (65691.44, 78356.62)