The statement that “A multinomial probability distribution describes data that are classified into two or more categories when a multinomial experiment is carried out” is TRUE.
A multinomial experiment has 4 properties:
n repeated trials
various likely outcome
A specific outcome’s chance in happening is fixed
The tests are self-reliant. Meaning, whatever the result of one test won’t affect the results of the other tests.
Answer:
They are:
1) Intensive growth
2) Integrative growth
3) Diversification growth
Explanation:
1. Intensive growth:
This involves identifying further growth opportunities that are available within existing businesses. It identifies new customer groups for growth within current businesses, develop additional distribution channels or selling in new markets such as those in other countries. If this is insufficient the company may look into Integrative growth.
2. Integrative growth:
The second involves involves backward, forward, or horizontal integration. Horizontal integration involves buying smaller competitors.
Backward integration reaches into value chain to get suppliers. Forward involves buying distribution channels in the value chain closest to the customer. Integrative growth identifies opportunities to acquire businesses that are in relation to current businesses.
3. Diversification:
Diversification growth is to identify opportunities so as to add attractive unrelated businesses
Answer:
Recommendation to Kimishima about Nintendo is given below:
Explanation:
Nintendo already have a goodwill with [now adults] because they have been playing Nintendo during their childhood, this goodwill can be revived by developing a software [Game] which is famous in Adults [Reality Game]. Also Nintendo can develop a hardware [Gaming Console] which should be compatible with other developers games and possibly cheaper in price to attract customers.
Nintendo already having goodwill, can develop a theme park with its characters and rides, this park can also have shops where Nintendo can sell its games and consoles.
Answer:
machine hours
Explanation:
The formula to compute the predetermined overhead rate is shown below:
Predetermined overhead rate = (Total estimated manufacturing overhead) ÷ (estimated direct labor-hours or estimated direct labor hours )
We simply divided the total estimated manufacturing overhead by the activity base
So in the given situation, since the automated manufacturing operations wants to calculate the predetermined overhead rate so they choose the machine hours as the number of machines are used.
Answer: "statuses" .
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