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For each of the following scenarios, identify the parameter (including the correct notation) and state the hypotheses of interest.
a.
Based on sample data, is there sufficient evidence to conclude that the mean amount of time it takes adults to fall asleep is less than 20 minutes? the parameter is populationmean
(
μ
)
Hypothesis
H
0
:
μ
=
20
H
a
:
μ
<
20
b. Based on sample data; can you conclude that more than ⅓ of American adults’ plan to use their income tax refund to pay bills? the parameter is population proportion
(
P
)
Hypothesis
H
0
:
P
=
1
/
3
H
a
:
P
>
1
/
3
c. Based on sample data; can you conclude that the mean candy baking temperature differs from 350°F?
the parameter is populationmean
(
μ
)
Hypothesis
H
0
:
μ
=
350
H
a
:
μ≠
350
d. A researcher believes that more than 25% of X-ray machines malfunction and produce excess radiation. They plan to collect sample data to test this.
the parameter is population proportion
(
P
)
Hypothesis
H
0
:
P
=
0.25
H
a
:
P
>
0.25
e. Based on sample data, is there statistically significant evidence that the mean amount of time that college students spend doing homework each week is not 12 hours?
the parameter is populationmean
(
μ
)
Hypothesis
H
0
:
μ
=
12
H
a
:
μ≠
12
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Related Questions
Taubman et al., (2014) used data collected in the Portland, OR metro area to study the Impact
Medicaid on emergency department (ED) use. The figure below shows the percent of respondents
who have been to the ED at all (left hand side of the figure) and the average number of ED visits
(right hand side of the figure).
The dark blue bars represent the mean for the control group, and the light blue bars add in the
"Medicaid" effect found in the paper. The black "capped" bar represents the confidence interval for
the Medicaid effect.
Percent with Any Visits
50
€30
20
10
O
Any
O O
Any and Total ED Use
Emergency Department Data
Control Mean
Control Mean plus Medicaid Effect
Cl for Medicaid Effect
The results above imply that the price elasticity of demand for emergency department use is
Number of Visits
perfectly inelastic
not perfectly inelastic
perfectly elastic
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iPad
14%
13:38
< Ваck
Econ122A_PS3.pdf
4. In which of the following cases OLS estimation of Healthcare=a +bAge+u will be
biased?
a) Only include in your estimation sample individuals whose health care spending is
more than 500 per year
b) Use a random sample.
c) Healthcare is recorded with some random typing errors.
1
d) The error variance is larger at an older age.
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The poverty threshold of a family of four with two children under the age of 18 in 2000 is $
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significance of a population parameter
significance of a variable
significance of the model
none of the above
all of the above
O O 0 O O
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Gender
Educational Attainment
Age
Family Income
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A problem of interest to health
officials (and others) is to
determine the effects of smoking
during pregnancy on infant health.
One measure of infant health is
birth weight; a birth weight that is
too low can put an imfant at risk
for contracting varieus illnesses.
Since factors other than cigarette
smoking that affect birth weight
are likely to be correlated with
smoking, we should take those
factors into account. For example,
higher income generally results in
access to better prenatal care, as
well as better nutrition for the
mother. An equation that
recognizes this is
bwght = Bo + B
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The sample means, x¯ , is an example of ...
Group of answer choices
an interval estimate
a population parameter
a point estimate
a population statistic
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Which of the following measures of central tendency can have more
than one value in a single sample?
Mode
Median
Variance
Mean
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Describe the major differences between a randomized controlled experiment and a quasi-experiment
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=
3+5Z+v,
Suppose we have the following causal model Y
where cov(Z, v)
=
0. However, a precise measure of Z is not
available. Instead, we have a noisy measure X of Z, that is,
X = Z + w with var(w) > 0. Suppose the error w is a classical
measurement error so that cov(w, Z) = cov(w, v)
=
0. What
can you conclude about the limit of the OLS estimator, namely
ß₂2 = cov(X,
Y)/var(X)?
0 B² = 0
B 5
OB > 0
U
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You are given the following demand for European luxury automobiles:
Q= 1,000P-0.93 Pa0.75 Pj1.2 I1.6
Where P = Price of European luxury cars; Pa = Price of American luxury cars; Pj = Price of Japanese luxury cars; and I = Annual income of car buyers.
Assume that each of the coefficients is statistically significant (i.e., that they passed the t-test). On the basis of the information given, address the following:
What is the degree of substitutability between European and American luxury cars and between European and Japanese luxury cars.
What is the coefficient for the income variable.
What is he coefficient of the European car price variable.
Be sure to include your work for all calculations.
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Exercise 3.13 —*** Challenging Question ✶✶✶.
Two women, Anna and Bess, claim to be the legal owners of a diamond ring that -
each claims - has great sentimental value. Neither of them can produce evidence of
ownership and nobody else is staking a claim on the ring. Judge Sabio wants the ring to
go to the legal owner, but he does not know which of the two women is in fact the legal
owner. He decides to proceed as follows. First he announces a fine of $F > 0 and then
asks Anna and Bess to play the following game.
Move 1: Anna moves first. Either she gives up her claim to the ring (in which case
Bess gets the ring, the game ends and nobody pays the fine) or she asserts her claim, in
which case the game proceeds to Move 2.
Move 2: Bess either accepts Anna's claim (in which case Anna gets the ring, the game
ends and nobody pays the fine) or challenges her claim. In the latter case, Bess must
put in a bid, call it B, and Anna must pay the fine of $F to Sabio. The game goes on to
Move 3.
Move…
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The Fixed Effects estimator is not consistent.
Both the OLS and the Random Effects estimators are not consistent.
The OLS estimator is not consistent, but the Random Effects estimator is consistent.
The OLS and the Random Effects estimator are consistent.
All of the above.
None of the above
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←
The worldwide market share for a web browser was 20.2% in a recent month. Suppose that a sample of 120 random
students at a certain university finds that 30 use the browser. Complete parts (a) through (d) below.
a. At the 0.05 level of significance, is there evidence that the market share for the web browser at the university is
greater than the worldwide market share of 20.2%?
Determine the null and alternative hypotheses.
OA. Ho: x=0.202; H₁: *#0.202
B. Haizz0.202; H:a 0.202
Calculate the test statistic.
ZSTAT (Type an integer or a decimal. Round to two decimal places as needed.)
=
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We have a random sample and we estimate the following model:
UE^= 0.508−0.051educ−0.023urban+0.005age(0.122) (0.012) (0.005) (0.002)n=6214, R2=0.474
where
educ = an individual’s years of education
urban = a dummy equal to 1 if the individual lives in an urban area and 0 otherwise
age = an individual’s age in years
What is the correct interpretation of the estimated coefficient on education?
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A study was done in 1998 by Dr. Benjamin Levine to explore the role of altitude training in athletic performance. First, he trained athletes at low altitude, then measured their finish times in a 5 kilometer run. Then the athletes
were placed into one of the following groups: I, living and training at high altitude; Il, living at high altitude and training at low;
or Ill, living and training at low altitude. The athletes were then retested in another low-altitude 5 K race. In this study, what are the control and experimental data? What are the dependent and independent variables? The
results are expressed as average change in speed of each group. I: -3.4 sec., Il: +13.4 sec., Ill:
-26.7 sec.
a. Graph and interpret the results.
b. Did the results surprise you? Why or why not?
c. Explain why the three groups obtained the results
presented?
d.How did altitude affect blood composition and
why?
e.How would athletes' performance be affected if they live, train, and compete at different…
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Consider the following single variate model
(1) fare Bo + B₁dist + u
=
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You may need to use the appropriate appendix table or technology to answer this question.
Consider the following hypothesis test.
Hoi uz 10
H, u< 10
The sample size is 120 and the population standard deviation is 9. Use a 0.05. If the actual population mean is 7, the probability of
a type Il error is 0.2912. Suppose the researcher wants to reduce the probability of a type II error to 0.10 when the actual population
mean is 10. What sample size is recommended? (Round your answer up to the nearest integer.)
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When estimating the equation:
i
Acrimerate =B+B Aunemployment + Au,
i
0
The estimate of B, is only causal if there is no correlation between Acrimerate;
1
True
False
and Au;
i
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Healthcare demand is consistnely nonelastic due to the fact that is relates to biological factors. True or False
A population based approach depends on accurate and timely population estimates and projections as well as accurate and timely utilization rates. True or False
The most effective way to develop a consumer profile is to gather psychographic data without controlling for geographic data. True or False
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Allegiant Airlines is considering an overbooking policy for one of its flights. The airplane has 50 seats, but Allegiant is considering accepting more reservations than seats because sometimes passengers do not show up for their flights, resulting in empty seats. The PassengerAppearance worksheet in the file Overbooking contains data on 1,000 passengers showing whether or not they showed up for their respective flights.
In addition, Allegiant has conducted a field experiment to gauge the demand for reservations for the current flight. During this experiment, they did not limit the number of reservations for the flight to observe the uncensored demand. The following table summarizes the result of the field experiment.
No. of Reservations Demanded
Probability
48
0.05
49
0.05
50
0.15
51
0.30
52
0.25
53
0.10
54
0.10
Suppose Allegiant receives a marginal profit of $108 for each passenger who books a reservation (regardless of whether they show up). In addition, suppose…
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Provide an analysis of the evidence emerging from tables 1 and 2.
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State if the following is True or false and provide a brief explanation for your answer.
Consider Population model Y = Bo + B1X1+ B2X2+ B3X3 + µ. Now consider the
following statements a to c. Assumption MLR 1– 4 is satisfied if and only if:
a. X,has no effect on Y after X, & X, have been controlled for which means B, = 0
b. X3 may or maynot be correlated with X, & X2 . All that matters is that X, & X2 are controlled
for X,has no effect on Y.
c. Given that B3
= 0 we are inclined to estimate the equation to include X3.
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Even if heteroscedaticity is suspected and detected, it is not easy to correct the problem. This statement is
Select one:
True
Depends on test statistics
Sometimes true
False
if the residuals from a regression estimated using a small sample of data are not normally distributed, which one of the following consequences may arise?
Select one:
The coefficient estimate will be biased inconsistent
The coefficient estimate will be biased consistent
Test statistics concerning the parameter will not follow their assumed distributions
The coefficient estimate will be unbiased inconsistent
males vs female
young vs adult
married vs unmarried
urban resident vs suburban
good credit score vs poor credit score
The coefficient of determination, r squared shows
Select one:
Proportion on the variation in the dependent variable error term is explained by the independent variable X
Proportion of the variation in the dependent variable X is explained by the error term
Proportion of the…
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Which of the following should not be included in the group (criteria for evidence)?
Transparency
Reasonableness
Reliability
Usefulness
None of the above
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