The Excel file Burglaries contains data on the number of burglaries before and after a Citizen Police program. Apply the Descriptive Statistics tool to these data. Does Chebyshev’s theorem hold for the number of monthly burglaries before and after the citizen-police program?

Data :

In a statistics class, 8 students took their pulses before and after an exam. The pulse rates (beats per minute) of the students before and after the exam were obtained separately and are shown in the table. Treat this as though it were a random sample of statistics students. Test the hypothesis that the mean of statistics students' pulse rates is higher after an exam using a significance level of 0.05. Do the 5-step hypothesis test and submit an image of your work.

A researcher wants to conduct a before/after study on 12 subjects to determine if a treatment results in any difference in scores. Scores are obtained on the subjects both before and after the treatment. After subtracting the after scores from the before scores, the average difference is computed to be 3.40 with a sample standard deviation of 1.21. Assume that the differences are normally distributed in the population. If the researcher wanted to construct a 98% confidence interval for the difference between the (after - before) means, the t value to be used in the computations will be

A) 2.3027

B) 2.3281

C) 2.6810

D) 2.7181

The reaction time before lunch was compared with the reaction time after lunch for a group of 28 office workers. Twenty two workers found their reaction time before lunch was shorter, and two could detect no difference, while the rest had a longer reaction time before lunch. Is there evidence that the reaction time before lunch is significantly shorter than the reaction time after lunch?

The following table lists the weight of individuals before and after taking a diet prescribed by a weight-loss company for a month:

Weight-loss Data:

Individual: A, B, C, D, E, F

Weight Before (lb): 123.7, 128.7, 135.6, 194.9, 145.5, 162.3

Weight After (lb): 109.4, 109.7, 123.3, 186.5, 126.8, 151.5

Weight loss (lb): 14.3, 19.0, 12.3, 8.4, 18.7, 10.8

You may find this Student's t distribution table useful in answering the following questions. You may assume that the differences in weight are normally distributed.

a)Calculate the sample variance (sd2) of the changes in individual weights. Give your answer to 2 decimal places.

sd2 =

b)A disgruntled customer states: "This weight-loss company is a complete farce. All the people I know who signed up experienced no changes in their weight at all. I seriously doubt this diet has any effect whatsoever. I want my money back!"

You plan to do a hypothesis test on this claim where the hypotheses are:

H0: the customer's claim is true and the program has no effect on weight

HA: the customer's claim is not true and the program does have an effect on weight, whether it increases or decreases

According to the data given, you should accept, reject, or not reject the null hypothesis at a confidence level of 99%.

In the week before and the week after a​ holiday, there were
10 comma 00010,000
total​ deaths, and
49834983
of them occurred in the week before the holiday.
a. Construct a
9090​%
confidence interval estimate of the proportion of deaths in the week before the holiday to the total deaths in the week before and the week after the holiday.
b. Based on the​ result, does there appear to be any indication that people can temporarily postpone their death to survive the​ holiday?
a.
nothingless than<pless than<nothing
​(Round to three decimal places as​ needed.)

On the graph below, draw the demand curves for widgets, both before and after the government announces that anyone buying a widget will be subject to a new stiff tax.

On the graph below, draw the demand curves for apples, both before and after a sharp increase in the price of apples.

On the graph below, draw the demand curves for bananas, both before and after a new law requires banana peels to be recycled. Assume that the recycling center is quite inconvenient.

Analytical procedures are required on every audit.

1. Should the procedure be performed before or after the calculation of the expected result?
2. If the result of an analytical procedure differs significantly from the expectation, is that conclusive evidence that there is an error in the books?
3. If the result of an analytical procedure differing significantly from the expectation does not necessarily mean the books are in error, what does it mean?

Show the effect of COVID 19 on the US Economy (before and after) graphically using the Mishkin's AD/AS Model :

Read the case below and answer the questions that follow.

Coke in India, Before and After

BEFORE

Coke in India

PepsiCo was in the Indian market during the mid-1950s, but pulled out because the business was unprofitable. Coca Cola had operated in India since 1950 but left in 1977 because the Indian government insisted on some unacceptable conditions. The Indian government demanded that Coke reduce its ownership from 100 to 40 percent; that it divulge its formula, and that it use dual trademarks so that Indian consumers would have a local logo. Coke was especially adamant about preserving the mystique of its secret formula and pulled out of India rather than comply.

Coca-Cola's departure gave PepsiCo a great opportunity, but Pepsi did not begin negotiations with the Indian government until 1985, and did not get formal permission to return immediately. although the initial investment Pepsi proposed was only $15 million, approval had to be given at the cabinet level. There were twenty parliamentary debates, fifteen committee reviews and 5,000 articles in the press about the proposed investment over a three year period. Finally approval was granted under onerous terms. Pepsi gave too many concessions for too little in return.

Pepsi had to:

1) limit its ownership to 39.9%;
2) it had to promise to export about $150
million over the first ten-year period of operation;
3) soft drink sales could not exceed 25% of total sales;
4) it had to promise to export 75% of concentrate;
5) it had to set up an agricultural research center;
6) it had to set up fruit and vegetable processing plants).

After Pepsi accepted these terms and was readmitted, Coke than reapplied to reenter India around 1988, but its application was denied, to Coke's fury and disgust. Then in 1991, Prime Minister Rao was elected and launched broad economic reforms. Coca-Cola announced its return to India in 1993.

In order to get permission to return, Coke had to form a 51%-owned JV with an Indian company named Parle Exports. Coke had to agree to export three times the value of its imports. It also had to promise to export plastic beverage cases to compensate for its imports of concentrate.

After Pepsi became the target of militant protestors in 1995, Pepsi's second KFC restaurant in New Delhi was closed for a month by the Indian authorities because two flies were found in its kitchen.  

However, India is a huge potential market and both companies have preservered. The Indian market has opened up fast in the last fifteen years and now the two companies are dealing with marketing issues rather than with a business-unfriendly government. The government of India has become much more business-friendly.

Coke’s new strategy in India

With slowdown in developed markets, companies like PepsiCo and Coca-Cola are looking at emerging markets like India and China for growth. PepsiCo is aiming to triple its businesses in India over the next five years (and also setting up a new leadership structure in India). The Coca-Cola Company (Coke), the world’s largest nonalcoholic beverage company, is not one to be left behind. Coke has a new strategy and has renewed its focus on semi-urban and rural markets in India.

The soft drink consumption market in India is mainly concentrated in urban cities. Market research data suggests that consumers in urban cities spend ten times more than consumers in semi-urban and rural markets. However, Coca-Cola has renewed its focus on the rural market in India and believes there is huge opportunity with vast growth potential in these markets. Coke is targeting small towns (tier II and III towns like Agra, Bilaspur and Lucknow) and rural markets in India.

Coke’s new strategy involves training retailers (around 6,000 of them) in a program launched by the Coca-Cola University. [In 2007, the company launched Coca-Cola University — a virtual, global university for all learning and capability-building activities.]

The company calls this the “parivartan” program (meaning “Change” in English). Shop owners (traditional retailers) are given training on displaying and stocking products well. The goal of the innovative training program is to provide traditional Indian retailers with the skills, tools and techniques required to succeed in a constantly changing retail scenario. Presentations (including audio/visual technology) in local Hindi language help small retailers (with stores less than 200 square feet in average size) to better understand the concepts involved. Each retailer also receives a Coca-Cola “Certified Retailer” certificate at the conclusion of the program.

Last year, PepsiCo set up a research facility in India. Last month, Coke too set up an R&D faculty in India to develop beverages that suit local taste and increase focus on localizing its portfolio of beverages. Earlier, Coca-Cola India had been outsourcing all R&D functions from its facility in Shanghai. Some examples of local flavors include Maaza aam panna by Coca-Cola and Pepsi has locally-produced flavors under its Tropicana juice brand (with nimbu pani (lemon water) in the pipeline).

Moving from a price strategy to stepping up distribution In the past (in 2002-03), Coke had already targeted rural consumers by bringing down the entry price (Rs 5 a bottle) for its product. Now, it has stepped up distribution of its 200-ml (priced at Rs 7 and Rs 8 ) returnable-glass-bottles.

Partly from: http://www.casestudyinc.com/coke-strategy-training-retailers (Links to an external site.)

Case Discussion Question:

What lessons can international marketers learn from Coke and Pepsi's experiences in India?   Please list up three or four different items.