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)