should states mandate increased voter initiatives and other forms of direct democracy? why or why not?
In: Economics
Based on which principle of international law does the International Court of Justice review complaints by states?
In: Economics
Is it likely that a local CPA firm will practice matrimonial forensics in many different states? Why or why not?
In: Accounting
How does SALT deduction allow states to raise tax collection without overburdening taxpayers?
In: Economics
In: Economics
Institutional/Policy responses of African States to the SARS-CoV-2 pandemic
Target (4 Pages )
In: Biology
Access to physical therapy services without a physician referral is currently legal in how many states?
In: Nursing
Compare and contrast two Medicaid plans from different states.
Provide one reference source
In: Operations Management
Page 1 of 2 Case Study 1 A New “Garcia” on the Block Garcia Gonzalez is ready to start a new career. After spending 30 years as a market researcher and inspired by the success of Starbucks, he is ready to enter the coffee shop business. However, before opening his first shop, he realizes that a great deal of research is needed. He has some key questions in mind. ? What markets in the United States hold the most promise for a new coffee shop? ? What type of location is best for a coffee shop? ? What is it that makes a coffee shop popular? ? What coffee do Americans prefer? A quick trip to the Internet reveals more previous research on coffee, markets, and related materials than he expected. Many studies address taste. For example, he finds several studies that in one way or another compare the taste of different coffee shop coffees. Most commonly, they compare the taste of coffee from Starbucks against coffee from McDonald’s, Dunkin’ Donuts, Burger King, and sometimes a local competitor. However, it becomes difficult to draw a conclusion as the results seem to be inconsistent. ? One study had a headline that poked fun at Starbucks’ high priced coffee. The author of this study personally purchased coffee to go at four places, took them to his office, tasted them, made notes and then drew conclusions. All the coffee was tasted black with no sugar. Just cups of Garcia. He reached the conclusion that McDonald’s Premium Coffee (at about $1.50 a cup), tasted nearly as good as Starbucks House Blend (at about $1.70 a cup), both of which were much better than either Dunkin’ Donuts (at about $1.20) or Burger King (less than $1). This study argued that McDonald’s was best, all things considered. ? Another study was written up by a good critic who was simply interested in identifying the best-tasting coffee. Again, he tasted them all black with nothing added. Each cup of coffee was consumed in the urban location near the inner city center in which he lived. He reached the conclusion that Starbucks’ coffee had the best flavor although it showed room for improvement. McDonald’s premium coffee was not as good, but it was better than the other two. Dunkin’ Donuts coffee had reasonably unobjectionable taste but was very weak and watery. The Burger King coffee was simply not very good. ? Yet another study talked about Starbucks becoming a huge company and how it has lost touch with the common coffee shop coffee customer. The researchers stood outside a small organic specialty shop and interviewed 100 consumers as they exited the shop. They asked, “Which coffee do you prefer?” The results showed a preference for a local coffee, tea, and incense shop, and otherwise put Starbucks last behind McDonald’s, Burger King, and Dunkin’ Donuts. ? Still another study compared the coffee-drinking experience. A sample of 50 consumers in Edinburg, Texas, were interviewed and asked to list the coffee shop they frequented Page 2 of 2 most. Starbucks was listed by more consumers than any other place. A small percentage listed Dunkin’ Donuts but none listed McDonald’s, despite their efforts at creating a premium coffee experience. The study did not ask consumers to compare the tastes of the coffee across the different places. Garcia also wants to find data showing coffee consumption patterns and the number of coffee shops around the United States, so he spends time looking for data on the Internet. His searches don’t reveal anything satisfying. As Garcia ponders how to go about starting “A Cup of Garcia,” he wonders about the relevance of this previous research. Is it useful at all? He even questions whether he is capable of doing any primary research himself and considers hiring someone to do a feasibility study for him. Maybe doing research is easier than using research. Sources: Shiver, J., “Taste Test: The Little Joes Take on Starbucks,” USA Today (March 26, 2008), http://www.usatoday.com/money/industries/food/2006-03-26- coffee_x.htm, accessed July 20, 2008; Associated Press, “McDonald’s Coffee Beats Starbucks, Says Consumer Reports,” The Seattle Times (February 2, 2007), http:// seattletimes.nwsource.com/html/businesstechnology/2003553322_webcoffeetest02. html, accessed July 20, 2008; “Coffee Wars: Starbucks v McDonald’s,” The Economist 386 (January 10, 2008), 58. Questions 1. What are the top three key decisions faced by Garcia? 2. What are the key deliverables that an outside researcher should produce to help Joe with the key decisions? 3. How relevant are the coffee taste studies cited above? Explain. 4. What flaws in the coffee taste studies should Garcia consider in trying to weigh the merits of their results? 5. Briefly relate this situation to each of the major stages of the marketing research process. 6. Try to do a quick search to explore the question: “Are American consumer preferences the same all across the United States?” 7. Would it be better for Garcia to do the research himself or have a consultant perform the work? 8. If a consultant comes in to do the job, what are three key deliverables that would likely be important to Garcia in making a decision to launch the “A Cup of Garcia” coffee shop?
In: Economics
1) In? 2003, an organization surveyed
1 comma 5081,508
adult Americans and asked about a certain? war, "Do you believe the United States made the right or wrong decision to use military? force?" Of the
1 comma 5081,508
adult Americans? surveyed,
1 comma 0861,086
stated the United States made the right decision. In? 2008, the organization asked the same question of
1 comma 5081,508
adult Americans and found that
570570
believed the United States made the right decision. Construct and interpret a? 90% confidence interval for the difference between the two population? proportions,
p 2003 minus p 2008p2003?p2008.
The lower bound of a? 90% confidence interval is
nothing.
Two researchers conducted a study in which two groups of students were asked to answer 42 trivia questions from a board game. The students in group 1 were asked to spend 5 minutes thinking about what it would mean to be a? professor, while the students in group 2 were asked to think about soccer hooligans. These pretest thoughts are a form of priming. The
200200
students in group 1 had a mean score of
26.126.1
with a standard deviation of
4.84.8?,
while the
200200
students in group 2 had a mean score of
17.717.7
with a standard deviation of
3.93.9.
Complete parts ?(a) and ?(b) below.?(a) Determine the
9090?%
confidence interval for the difference in? scores,
mu 1 minus mu 2?1??2.
Interpret the interval.The lower bound is
nothing.
The upper bound is
nothing.
?(Round to three decimal places as? needed)
3)
|
Assume that both populations are normally distributed. ?(a) Test whethermu 1 not equals mu 2?1??2 at thealpha equals 0.01?=0.01 level of significance for the given sample data.?(b) Construct a9999?% confidence interval aboutmu 1 minus mu 2?1??2. |
Population 1 |
Population 2 |
|||
|
n |
2020 |
2020 |
|||
|
x overbarx |
19.219.2 |
20.420.4 |
|||
|
s |
4.44.4 |
3.93.9 |
?(a) Test whether
mu 1 not equals mu 2?1??2
at the
alpha equals 0.01?=0.01
level of significance for the given sample data.
Determine the null and alternative hypothesis for this test.
A.
Upper H 0 :H0:mu 1 equals mu 2?1=?2
Upper H 1 :H1:mu 1 greater than mu 2?1>?2
B.
Upper H 0 :H0:mu 1 equals mu 2?1=?2
Upper H 1 :H1:mu 1 not equals mu 2?1??2
Your answer is correct.
C.
Upper H 0 :H0:mu 1 not equals mu 2?1??2
Upper H 1 :H1:mu 1 equals mu 2?1=?2
D.
Upper H 0 :H0:mu 1 not equals mu 2?1??2
Upper H 1 :H1:mu 1 greater than mu 2?1>?2
Detemine the? P-value for this hypothesis test.
Pequals=nothing
?(Round to three decimal places as? needed.)
|
Assume that both populations are normally distributed. ?a) Test whethermu 1 greater than mu 2?1>?2 at thealpha equals 0.05?=0.05 level of significance for the given sample data.?b) Construct a9595?% confidence interval aboutmu 1 minus mu 2?1??2. |
Sample 1 |
Sample 2 |
|||
|
n |
2222 |
1515 |
|||
|
x overbarx |
46.946.9 |
39.839.8 |
|||
|
s |
7.37.3 |
10.610.6 |
|||
LOADING...
Click the icon to view the Student? t-distribution table.
?a) Perform a hypothesis test. Determine the null and alternative hypotheses.
A.
Upper H 0H0?:
mu 1 equals mu 2?1=?2?,
Upper H 1H1?:
mu 1 greater than mu 2?1>?2Your answer is correct.
B.
Upper H 0H0?:
mu 1 less than mu 2?1<?2?,
Upper H 1H1?:
mu 1 greater than mu 2?1>?2
C.
Upper H 0H0?:
mu 1 greater than mu 2?1>?2?,
Upper H 1H1?:
mu 1 less than mu 2?1<?2
D.
Upper H 0H0?:
mu 1 equals mu 2?1=?2?,
Upper H 1H1?:
mu 1 less than mu 2?1<?2
Determine the test statistic.
tequals=nothing
?(Round to two decimal places as? needed.)
| A researcher
wanted to determine if carpeted or uncarpeted rooms contain more
bacteria. The table shows the results for the number of bacteria
per cubic foot for both types of rooms. A normal probability plot
and boxplot indicate that the data are approximately normally
distributed with no outliers. Do carpeted rooms have more bacteria
than uncarpeted rooms at the
alpha?equals=0.010.01 level of? significance? |
Full data set
|
|||||||
|
Carpeted |
Uncarpeted |
|||||||
|
7.27.2 |
8.88.8 |
13.713.7 |
5.85.8 |
9.59.5 |
13.313.3 |
|||
|
6.46.4 |
13.513.5 |
7.27.2 |
13.413.4 |
12.312.3 |
5.65.6 |
|||
|
15.915.9 |
15.715.7 |
10.510.5 |
10.910.9 |
|||||
LOADING...
Click the icon to view the Student? t-distribution table.
What are the null and alternative? hypotheses?
Upper H 0H0?:
mu Subscript carpet?carpet
equals=
mu Subscript no carpet?no carpet
versus Upper H 1H1?:
mu Subscript carpet?carpet
greater than>
mu Subscript no carpet?no carpet
Calculate the test? statistic,
t 0t0.
t 0t0equals=nothing
?(Round to two decimal places as? needed.)
In: Statistics and Probability