Answer:
Data mining refers to the ability of an organization to extract relevant information for a large reservoir of data that belong to its users for the purpose of increasing service/product efficiency.
One example of a company that requires data mining for the success of its business is Amazon. Amazon is categorized by many as an online retail giant. Their Customer-Centric approach to doing business is enhanced by their ability to leverage off historical data to reduce the time spent on resolving customer queries and/or complaints.
Generally, there are four basic data mining functions. They are:
- Prediction Function: This function allows for the owner to spot patterns in behavior and use this as a yardstick to predict for forecast other variables that will enable the increment in the quality of value offered/delivered.
- Function Description: This functionality highlights attributes of a set of data in the database
- Classification Function: This is very close to Function Description only that in this case, it helps in the creation of a model that describes the class or concept of data.
- Association Function: This functionality highlights the relationship between data
The above functions cannot be carried out by data query processing or simple statistical analysis because data mining involves the identification of patterns and relationships using algorithms whilst data query refers to the issuance of instructions in search of specific results.
Cheers
Answer:
There is a 1,500 gain
Explanation:
we have commercial subtance so we can recognize gain/loss
these will be the numebrs of the transaction:
truck
purchase 24,000
acc depreciation 17, 000
book value 7, 000
equipment 8,000
cash 500
total 8,500
received - given up = gain/loss
8,500 - 7,000 = 1,500 gain
the journal entry would be
Equipment 8,000 debit
cash 500 debit
acc dep truck 17,000 debit
Truck 24,000 credit
gain on disposal 1,500 credit
They allege that officials have deprived inmates of their constitutional rights
The complete question is as follows:
The admission directory of Big City University has a novel idea. He proposed using the IQ scores of current students as a marketing tool. The university agrees to provide him with enough money to administer IQ tests to 50 students. So the director gives the IQ test to an SRS of 50 of the university’s 5000 freshman. The mean IQ score for the sample is xbar=112. The IQ test he administered is known to have a σ of 15. What is the 95% Confidence Interval about the mean? What can the director say about the mean score of the population of all 5000 freshman?
Answer: The 95% confidence interval about the mean is 
.
The director can say that he is 95% confident that the mean IQ score of the 5000 freshmen lies between 107.84 and 116.16.
We follow these steps to arrive at the answer:
Since the population standard deviation of the IQ test is known, we can use the Z scores to find the confidence interval.
The formula for the confidence interval about the mean is:
In the equation above, X bar is known as the point estimate and the second term is known as Margin of Error.
The Critical Value of Z at the 95% confidence level is 1.96.
Substituting the values in the question in the equation above we have,
