(1 point)
Weights of 10 red and 36 brown randomly chosen M{\&}M plain
candies are listed below.
Red:
0.9080.9090.9070.920.9360.8980.8980.8740.9130.9240.9080.9070.9360.8980.9130.9090.920.8980.8740.924
Brown:
0.9090.9150.9550.9140.9310.9090.9050.930.8570.8770.9660.9020.920.9040.8660.8710.8720.9280.9880.920.8580.8980.9360.9210.9850.8750.9290.90.9230.8610.8670.8760.9020.8970.9180.9130.9090.9050.920.9880.9850.8670.9150.930.9040.920.8750.8760.9550.8570.8660.8580.9290.9020.9140.8770.8710.8980.90.8970.9310.9660.8720.9360.9230.9180.9090.9020.9280.9210.8610.913
1. To construct a 95% confidence interval
for the mean weight of red M{\&}M plain candies, you have to
use
A. The t distribution with 11 degrees of
freedom
B. The normal distribution
C. The t distribution with 9 degrees of
freedom
D. The t distribution with 10 degrees of
freedom
E. None of the above
2. A 95% confidence interval for the mean
weight of red M{\&}M plain candies is
<μ<<μ<
3. To construct a 95% confidence interval
for the mean weight of brown M{\&}M plain candies, you have to
use
A. The normal distribution
B. The t distribution with 36 degrees of
freedom
C. The t distribution with 35 degrees of
freedom
D. The t distribution with 37 degrees of
freedom
E. None of the above
4. A 95% confidence interval for the mean
weight of brown M{\&}M plain candies is
<μ<<μ<
(1 point)
Among the most exciting aspects of a university professor's life are the departmental meetings where such critical issues as the color the walls will be painted and who gets a new desk are decided. A sample of 20 professors was asked how many hours per year are devoted to such meetings. The responses are listed below. Assuming that the variable is normally distributed with a standard deviation of 6 hours, estimate the mean number of hours spent at departmental meetings by all professors. Use a confidence level of 94%.
6,10,13,7,13,5,4,7,15,15,6,4,22,9,15,16,17,5,18,146,13,13,4,15,6,22,15,17,18,10,7,5,7,15,4,9,16,5,14
Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.
Confidence Interval =
(1 point)
The data below are the ages of a random sample of 8 men in a bar. It is known that the population of ages are normally distributed with a standard deviation of 9. Determine the 97% confidence interval estimate of the population mean.
53,66,25,37,56,43,28,4853,66,25,37,56,43,28,48
Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.
Confidence Interval =
(1 point) The following random sample was selected from a normal distribution:
164811910410106164811910410106
(a) Construct a 9090% confidence interval
for the population mean μμ.
≤μ≤≤μ≤
(b) Construct a 9595% confidence interval
for the population mean μμ.
≤μ≤≤μ≤
(1 point)
The number of cars sold annually by used car salespeople is normally distributed with a standard deviation of 13. A random sample of 330 salespeople was taken and the mean number of cars sold annually was found to be 73. Find the 92% confidence interval estimate of the population mean.
Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.
Confidence Interval =
(1 point)
How many rounds of golf do those physicians who play golf play per year? A survey of 12 physicians revealed the following numbers:
7,39,16,3,34,42,22,16,18,31,10,487,39,16,3,34,42,22,16,18,31,10,48
Estimate with 94% confidence the mean number of rounds played per year by physicians, assuming that the population is normally distributed with a standard deviation of 7.
Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.
Confidence Interval =
(1 point) Periodically, the county Water Department tests the drinking water of homeowners for contminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below.
lead (μμg/L) | copper (mg/L) |
1.11.1 | 0.3780.378 |
0.10.1 | 0.7520.752 |
4.64.6 | 0.8210.821 |
5.65.6 | 0.2170.217 |
1.11.1 | 0.7530.753 |
5.75.7 | 0.0040.004 |
3.23.2 | 0.7260.726 |
1.51.5 | 0.3540.354 |
2.32.3 | 0.7320.732 |
2.62.6 | 0.3180.318 |
(a) Construct a 9999% confidence interval
for the mean lead level in water specimans of the
subdevelopment.
≤μ≤≤μ≤
(b) Construct a 9999% confidence interval
for the mean copper level in water specimans of the
subdevelopment.
≤μ≤≤μ≤
(1 point) The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below.
City | Number of papers | City | Number of papers |
City 1 | 2323 | City 11 | 1717 |
City 2 | 1616 | City 12 | 33 |
City 3 | 55 | City 13 | 2424 |
City 4 | 3030 | City 14 | 2626 |
City 5 | 1818 | City 15 | 2525 |
City 6 | 2626 | City 16 | 2020 |
City 7 | 2525 | City 17 | 44 |
City 8 | 1616 | City 18 | 1919 |
City 9 | 1010 | City 19 | 2424 |
City 10 | 2525 | City 20 | 3030 |
Construct a 9797 % confidence interval for the average number of papers published in major world cities.
<μ<<μ<
1:
Following is out put of descriptive statistics:
Descriptive statistics | ||
Red | Brown | |
count | 10 | 36 |
mean | 0.90870 | 0.90828 |
sample standard deviation | 0.01687 | 0.03308 |
sample variance | 0.00028 | 0.00109 |
minimum | 0.874 | 0.857 |
maximum | 0.936 | 0.988 |
range | 0.062 | 0.131 |
1:
Here we have
Here population standard deviation is unknown so t-distrbution will be used. The degree of freedom:
df =n-1=9
Correct option:
C. The t distribution with 9 degrees of freedom
2:
Critical value of t for 95% confidence interval, using excel function "=TINV(0.05,9)", is 2.262.
The required confidence interval is
3:
Here we have
Here population standard deviation is unknown so t-distrbution will be used. The degree of freedom:
df =n-1=35
Correct option:
C. The t distribution with 35 degrees of freedom
4:
Critical value of t for 95% confidence interval, using excel function "=TINV(0.05,35)", is 2.030.
The required confidence interval is
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