Solving Probability Questions: Big Burger Chain Stores

  • Thread starter mkir
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In summary, probability can be used to estimate the number of customers at a Big Burger chain store, improve sales through targeted marketing, and determine the success of new menu items. It can also be used to predict the future growth of the business, although external factors may also play a role.
  • #1
mkir
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Hi, I need some help with this question.

Seventy percent of all Big Burger chain stores decided to advertise in their local newspapers. Of those chain stores that advertised in their local newspapers, 60% had an increase in sales. Of those chain stores that did not advertise in their local newspapers, 25% had an increase in sales.
(a) What is the probability that a randomly selected store has an increase in sales.
(b) What is the probability that a randomly selected store with an increase in sales advertised in its local newspaper?

for a)
I did
(.7)(.6) + (.3)(.25) = 0.495

for b)
A = Increased sales
B = Advertised

P(A|B) = 0.495/0.7 = 0.707


Did I do this right?
 
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  • #2
a.) Looks right.
b.) It looks like you have A & B reversed.
The question asks for the probability one advertised given one had an increase in sales. So that should be P(B|A) as you defined them.
 
  • #3
So for b), would

P(B|A) = (.7)(.6)/(.495) = 0.848

be correct?
 
  • #4
mkir said:
So for b), would

P(B|A) = (.7)(.6)/(.495) = 0.848

be correct?

yes it is
 
  • #5
Another way to do (b) is to imagine that there are 1000 stores. Then 70% of them, or 700, advertise. Of those, 60%, or 420, have an increase in sales. 300 stores do not advertise and 25% of them, 75, also have an increase in sales. So a total of 420+ 75= 495 stores have an increase in sales and 420 advertised: that is, 420/495= .848 (approximately) or 84.8% of the stores that had an increase in sales advertised.
 

FAQ: Solving Probability Questions: Big Burger Chain Stores

What is the probability of a Big Burger chain store having a certain number of customers in a day?

The probability of a Big Burger chain store having a certain number of customers in a day depends on several factors, such as location, time of day, and marketing tactics. It is difficult to give an exact answer, but using historical data and statistical analysis, we can estimate the probability of a certain number of customers within a certain range.

How can probability be used to improve sales at Big Burger chain stores?

Probability can be used to improve sales at Big Burger chain stores by predicting customer behavior and identifying the most effective marketing strategies. By analyzing data on customer demographics, preferences, and spending habits, we can determine the most profitable products and promotions, and target them to the right audience.

Is the probability of a Big Burger chain store's success affected by the competition in the area?

Yes, the probability of a Big Burger chain store's success can be affected by the competition in the area. If there are other popular burger chains nearby, it may be more difficult for the store to attract customers. However, with effective marketing and a unique menu, a Big Burger chain store can still be successful despite competition.

How can probability be used to determine the success of a new menu item at Big Burger chain stores?

Probability can be used to determine the success of a new menu item at Big Burger chain stores by conducting market research and analyzing customer preferences and purchasing patterns. By gathering data on the popularity of similar menu items and predicting customer response, we can estimate the probability of success for a new item.

Can probability be used to predict the future growth of Big Burger chain stores?

Yes, probability can be used to predict the future growth of Big Burger chain stores. By analyzing past sales data and market trends, we can make predictions about the potential growth of the business. However, it is important to note that there are many external factors that can also impact the growth of a business, so these predictions may not always be accurate.

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