You measure 22 dogs' weights, and find they have a mean weight
of 39 ounces. Assume the population standard deviation is 9.8
ounces. Based on this, construct a 99% confidence interval for the
true population mean dog weight.
Give your answers as decimals, to two places
±± ounces
In: Math
29) After elections were held, it was desired to estimate the
proportion of voters who regretted that
they did not vote. How many voters must be sampled in order to
estimate the true proportion to
within 2% (e.g., + 0.02) at the 90% confidence level? Assume that
we believe this proportion lies
close to 30%.
A) n = 2017
B) n = 1421
C) n = 2401
D) Cannot determine because no estimate of p or q exists in this
problem.
E) n = 1692
For the given binomial sample size and null-hypothesized value
of p0, determine whether the sample size is large
enough to use the central limit theorem to conduct a test of the
null hypothesis Ho: p = p0.
n = 700, p0 = 0.01
A) No
B) Yes
In: Math
Last year medical students are sent to rural places in
order to
medicate and relieve the inhabitants of this population who do not
have access to health
quality. An aspiring doctor finds that a quarter of a
population
is vaccinated against malaria. In an epidemic of this disease, he
observes that
of every 5 patients 1 is vaccinated. It is also known that of every
12 vaccinated only
1 is sick. The doctor wants to calculate the probability that a
non-vaccinated person is
sick
In: Math
2. | Large Sample of Student Heights | ||||
Height | Weight | ||||
150 | 44 | 166 | 53 | 175 | 60 |
155 | 44 | 168 | 60 | 175 | 81 |
155 | 59 | 168 | 66 | 175 | 65 |
160 | 64 | 169 | 51 | 175 | 61 |
163 | 57 | 170 | 54 | 176 | 66 |
163 | 57 | 170 | 75 | 178 | 68 |
163 | 51 | 170 | 59 | 178 | 64 |
164 | 65 | 173 | 55 | 183 | 73 |
173 | 58 | 183 | 86 | ||
173 | 66 | 184 | 71 | ||
173 | 66 | 188 | 87 | ||
173 | 62 | 201 | 114 | ||
140 | 50 | ||||
Using Excel or another tool | |||||
a) | Graph a scatterplot | ||||
b) | Run the regression | ||||
c) | What is the regression equation? | ||||
d) | Determine r. What does it mean? | ||||
e) | Determine r^2. What does it mean? | ||||
f) | Test the significance of r. |
In: Math
The wheat harvesting season in the American Midwest is short, and farmers deliver their truckloads of wheat to a giant central storage bin within a 2-week span. Because of this, wheat-filled trucks waiting to unload and return to the fields have been known to back up for a block at the receiving bin. The central bin is owned cooperatively, and it is to every farmer's benefit to make the unloading/storage process as efficient as possible. The cost of grain deterioration caused by unloading delays and the cost of truck rental and idle driver time are significant concerns to the cooperative members. Although farmers have difficulty quantifying crop damage, it is easy to assign a waiting and unloading cost for truck and driver of $17 per hour. During the 2-week harvest season, the storage bin is open and operated16 hours per day, 7 days per week, and can unload 34 trucks per hour according to a negative exponential distribution. Full trucks arrive all day long (during the hours the bin is open) at a rate of about 30 per hour, following a Poisson pattern
e) The total daily cost to the farmers of having their trucks tied up in the unloading process = ____ per day (round your response to the nearest whole number).
f) As mentioned, the cooperative uses the storage bin heavily only 2 weeks per year. Farmers estimate that enlarging the bin would cut unloading costs by 50% next year. It will cost $8 comma ____ to do so during the off-season. The one-year net cost/benefit to enlarge the storage area =____ (round your response to the nearest whole number).
In: Math
The file banking.txt attached to this assignment provides data
acquired from banking and census records
for different zip codes in the bank’s current market. Such
information can be useful in targeting
advertising for new customers or for choosing locations for branch
offices. The data show
- median age of the population (AGE)
- median income (INCOME) in $
- average bank balance (BALANCE) in $
- median years of education (EDUCATION)
Use r
Use R to fit a regression model to predict balance from age,
education and income. Analyze the
model parameters. Which predictors have a significant effect on
balance? Use the t-tests on the
parameters for alpha=.05. [2 pts = 1 pt R code + 1 pt answer]
f) If one of the predictors is not significant, remove it from the
model and refit the new regression
model. Write the expression of the fitted regression model. [2 pts
= 1 pt R code + 1 pt answer]
g) Interpret the value of the parameters for the variables in the
model. [1 pt]
h) Report the value for the R2
coefficient and describe what it indicates. [1 pt]
i) According to census data, the population for a certain zip code
area has median age equal to 34.8
years, median education equal to 12.5 years and median income equal
to $42,401.
- Use the final model computed in point (f) to compute the
predicted average balance for the zip
code area. [1 pt]
- If the observed average balance for the zip code area is $21,572,
what’s the model prediction
error? [1 pt]
j) Conduct a global F-test for overall model adequacy. Write down
the test hypotheses and test statistic
and discuss conclusions.
Age Education Income Balance
35.9 14.8 91033 38517
37.7 13.8 86748 40618
36.8 13.8 72245 35206
35.3 13.2 70639 33434
35.3 13.2 64879 28162
34.8 13.7 75591 36708
39.3 14.4 80615 38766
36.6 13.9 76507 34811
35.7 16.1 107935 41032
40.5 15.1 82557 41742
37.9 14.2 58294 29950
43.1 15.8 88041 51107
37.7 12.9 64597 34936
36 13.1 64894 32387
40.4 16.1 61091 32150
33.8 13.6 76771 37996
36.4 13.5 55609 24672
37.7 12.8 74091 37603
36.2 12.9 53713 26785
39.1 12.7 60262 32576
39.4 16.1 111548 56569
36.1 12.8 48600 26144
35.3 12.7 51419 24558
37.5 12.8 51182 23584
34.4 12.8 60753 26773
33.7 13.8 64601 27877
40.4 13.2 62164 28507
38.9 12.7 46607 27096
34.3 12.7 61446 28018
38.7 12.8 62024 31283
33.4 12.6 54986 24671
35 12.7 48182 25280
38.1 12.7 47388 24890
34.9 12.5 55273 26114
36.1 12.9 53892 27570
32.7 12.6 47923 20826
37.1 12.5 46176 23858
23.5 13.6 33088 20834
38 13.6 53890 26542
33.6 12.7 57390 27396
41.7 13 48439 31054
36.6 14.1 56803 29198
34.9 12.4 52392 24650
36.7 12.8 48631 23610
38.4 12.5 52500 29706
34.8 12.5 42401 21572
33.6 12.7 64792 32677
37 14.1 59842 29347
34.4 12.7 65625 29127
37.2 12.5 54044 27753
35.7 12.6 39707 21345
37.8 12.9 45286 28174
35.6 12.8 37784 19125
35.7 12.4 52284 29763
34.3 12.4 42944 22275
39.8 13.4 46036 27005
36.2 12.3 50357 24076
35.1 12.3 45521 23293
35.6 16.1 30418 16854
40.7 12.7 52500 28867
33.5 12.5 41795 21556
37.5 12.5 66667 31758
37.6 12.9 38596 17939
39.1 12.6 44286 22579
33.1 12.2 37287 19343
36.4 12.9 38184 21534
37.3 12.5 47119 22357
38.7 13.6 44520 25276
36.9 12.7 52838 23077
32.7 12.3 34688 20082
36.1 12.4 31770 15912
39.5 12.8 32994 21145
36.5 12.3 33891 18340
32.9 12.4 37813 19196
29.9 12.3 46528 21798
32.1 12.3 30319 13677
36.1 13.3 36492 20572
35.9 12.4 51818 26242
32.7 12.2 35625 17077
37.2 12.6 36789 20020
38.8 12.3 42750 25385
37.5 13 30412 20463
36.4 12.5 37083 21670
42.4 12.6 31563 15961
19.5 16.1 15395 5956
30.5 12.8 21433 11380
33.2 12.3 31250 18959
36.7 12.5 31344 16100
32.4 12.6 29733 14620
36.5 12.4 41607 22340
33.9 12.1 32813 26405
29.6 12.1 29375 13693
37.5 11.1 34896 20586
34 12.6 20578 14095
28.7 12.1 32574 14393
36.1 12.2 30589 16352
30.6 12.3 26565 17410
22.8 12.3 16590 10436
30.3 12.2 9354 9904
22 12 14115 9071
30.8 11.9 17992 10679
35.1 11 7741 6207
In: Math
The technology underlying hip replacements has changed as these operations have become more popular (over 250,000 in the United States in 2008). Starting in 2003, highly durable ceramic hips were marketed. Unfortunately, for too many patients the increased durability has been counterbalanced by an increased incidence of squeaking. An article reported that in one study of 146 individuals who received ceramic hips between 2003 and 2005, 13 of the hips developed squeaking.
(a) Calculate a lower confidence bound at the 95% confidence level for the true proportion of such hips that develop squeaking. (Round your answer to three decimal places.)
In: Math
Thirty-three small communities in Connecticut (population near 10,000 each) gave an average of x = 138.5 reported cases of larceny per year. Assume that σ is known to be 41.5 cases per year. (a) Find a 90% confidence interval for the population mean annual number of reported larceny cases in such communities. What is the margin of error? (Round your answers to one decimal place.)
lower limit | |
upper limit | |
margin of error |
(b) Find a 95% confidence interval for the population mean annual
number of reported larceny cases in such communities. What is the
margin of error? (Round your answers to one decimal place.)
lower limit | |
upper limit | |
margin of error |
(c) Find a 99% confidence interval for the population mean annual
number of reported larceny cases in such communities. What is the
margin of error? (Round your answers to one decimal place.)
lower limit | |
upper limit | |
margin of error |
In: Math
A)Test for significance of the Coefficient of Determination (F-test using α = 5%)
B) Construct and interpret the confidence interval for the population regression coefficient b1 (use 1-α = 95%). Data set below and Thanks!
Unemployment | Inflation |
4.0 | 3.0 |
4.1 | 4.1 |
4.0 | 5.9 |
3.8 | -0.6 |
4.0 | 1.8 |
4.0 | 5.8 |
4.0 | 2.9 |
4.1 | 0.0 |
3.9 | 5.2 |
3.9 | 1.7 |
3.9 | 1.7 |
3.9 | 2.3 |
4.2 | 5.7 |
4.2 | 2.3 |
4.3 | 0.6 |
4.4 | 1.7 |
4.3 | 5.1 |
4.5 | 2.3 |
4.6 | -1.7 |
4.9 | 0.0 |
5.0 | 4.0 |
5.3 | -2.8 |
5.5 | -0.6 |
5.7 | -0.6 |
5.7 | 1.7 |
5.7 | 1.7 |
5.7 | 3.4 |
5.9 | 3.9 |
5.8 | 0.6 |
5.8 | 1.1 |
5.8 | 2.2 |
5.7 | 2.8 |
5.7 | 1.7 |
5.7 | 2.2 |
5.9 | 1.7 |
6.0 | 1.1 |
5.8 | 3.3 |
5.9 | 5.5 |
5.9 | 4.4 |
6.0 | -4.4 |
6.1 | -0.6 |
6.3 | 1.1 |
6.2 | 2.2 |
6.1 | 3.8 |
6.1 | 2.7 |
6.0 | -0.5 |
5.9 | -1.1 |
5.7 | 2.2 |
5.7 | 4.3 |
5.6 | 3.2 |
5.7 | 4.3 |
5.5 | 1.1 |
5.6 | 5.9 |
5.6 | 3.2 |
5.5 | 0.0 |
5.4 | 1.1 |
5.4 | 1.6 |
5.4 | 5.8 |
5.4 | 2.1 |
5.4 | 0.0 |
5.2 | 1.1 |
5.4 | 3.7 |
5.1 | 5.7 |
5.1 | 4.7 |
5.1 | -0.5 |
5.0 | -0.5 |
5.0 | 6.2 |
4.9 | 5.6 |
5.1 | 12.2 |
4.9 | 2.5 |
5.0 | -6.5 |
4.9 | -0.5 |
In: Math
Engineers are testing company fleet vehicle fuel economy (miles per gallon) performance by using different types of fuel. One vehicle of each size is tested. Does this sample provide sufficient evidence to conclude that there is a significant difference in treatment means? |
87 Octane | 89 Octane | 91 Octane | Ethanol 5% | Ethanol 10% | |
Compact | 32.0 | 29.1 | 20.3 | 30.8 | 27.7 |
Mid-Size | 18.1 | 19.7 | 18.9 | 19.9 | 27.7 |
Full-Size | 27.0 | 27.2 | 20.9 | 31.4 | 31.7 |
SUV | 22.2 | 19.1 | 21.1 | 18.4 | 31.7 |
(a) | Choose the correct statement. |
|
(b) | Fill in the boxes. (Round your SS values to 3 decimal places, F values to 2 decimal places, and other answers to 4 decimal places.) |
Two-Factor ANOVA | |||||
Source | SS | df | MS | F | p-value |
Treatments (Vehicle Size) | |||||
Blocks (Fuel Type) | |||||
Error | |||||
Total | |||||
Group | Mean | n | Std. Dev |
87 Octane | |||
89 Octane | |||
91 Octane | |||
Ethanol 5% | |||
Ethanol 10% | |||
Compact | |||
Mid-Size | |||
Full-Size | |||
SUV | |||
Total | |||
(c) | Choose the correct statement. Use α = 0.05. |
|
(d) | Which fuel types show a significant difference in average fuel economy? Use the Tukey simultaneous comparisons at α = 0.05. |
|
In: Math
Method 1: Use the Student's t distribution with
d.f. = n − 1.
This is the method used in the text. It is widely employed in
statistical studies. Also, most statistical software packages use
this method.
Method 2: When n ≥ 30, use the sample standard
deviation s as an estimate for σ, and then use
the standard normal distribution.
This method is based on the fact that for large samples, s
is a fairly good approximation for σ. Also, for large
n, the critical values for the Student's t
distribution approach those of the standard normal
distribution.
(d) Now consider a sample size of 71. Compute 90%, 95%, and 99% confidence intervals for μ using Method 1 with a Student's t distribution. Round endpoints to two digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
(e) Compute 90%, 95%, and 99% confidence intervals for μ
using Method 2 with the standard normal distribution. Use
s as an estimate for σ. Round endpoints to two
digits after the decimal.
90% | 95% | 99% | |
lower limit | |||
upper limit |
In: Math
A statistics practitioner took a random sample of 55 observations from a population whose standard deviation is 35 and computed the sample mean to be 101.
Note: For each confidence interval, enter your answer in the form (Lower limit, Upper limit). You must include the parentheses and the comma between the confidence limits.
A. Estimate the population mean with 95% confidence.
Confidence Interval =
B. Estimate the population mean with 90% confidence.
Confidence Interval =
C. Estimate the population mean with 99% confidence.
Confidence Interval =
In: Math
When we test H0: μ1 £ μ2, HA: μ1 > μ2 at α = .10, where Picture = 77.4, Picture = 72.2, s1 = 3.3, s2 = 2.1, n1 = 6, and n2 = 6, what is the estimated pooled variance?
In: Math
In: Math
A random sample of 23 items is drawn from a population whose standard deviation is unknown. The sample mean is x¯ = 840 and the sample standard deviation is s = 15. Use Appendix D to find the values of Student’s t.
(a) Construct an interval estimate of
μ with 98% confidence. (Round your answers to 3
decimal places.)
The 98% confidence interval is from __to__
(b) Construct an interval estimate of μ
with 98% confidence, assuming that s = 30. (Round
your answers to 3 decimal places.)
The 98% confidence interval is from __to__
(c) Construct an interval estimate of μ
with 98% confidence, assuming that s = 60. (Round
your answers to 3 decimal places.)
The 98% confidence interval is from __to__
(d) Describe how the confidence interval changes
as s increases.
The interval stays the same as s increases.
The interval gets wider as s increases.
The interval gets narrower as s increases.
In: Math