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Elina [12.6K]
3 years ago
12

An automobile manufacturer wants to find out what types of product-related problems its customers are experiencing. The best met

hod to gather the data is
Mathematics
2 answers:
lidiya [134]3 years ago
8 0

Answer:

customer survey

Step-by-step explanation:

When a company carries out a customer survey, it will poll a group of clients in order to identify possible product related problems and their general satisfaction level with the product, or customer service, etc.

Customer surveys are very useful and can provide important information because it is the simplest way that companies can find out what their customers really think about their products.

JulsSmile [24]3 years ago
4 0
A customer survey?  Or a random sampling survey?
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Suppose that 5 people sitting in a enclosed room are each generating about 500 BTUs of body heat per hour. If the room is 10 ft
Mazyrski [523]

Answer:

A)5

Step-by-step explanation:

I answered the question already.

4 0
3 years ago
Read 2 more answers
A data mining routine has been applied to a transaction dataset and has classified 88 records as fraudulent (30 correctly so) an
Firlakuza [10]

Answer:

The classification matrix is attached below

Part a

The classification error rate for the records those are truly fraudulent is 65.91%.

Part b

The classification error rate for records that are truly non-fraudulent is 96.64%

Step-by-step explanation:

The classification matrix is obtained as shown below:

The transaction dataset has 30 fraudulent correctly classified records out of 88 records, that is, 30 records are correctly predicted given that an instance is negative.

Also, there would be 88 - 30 = 58 non-fraudulent incorrectly classified records, that is, 58 records are incorrectly predicted given that an instance is positive.

The transaction dataset has 920 non-fraudulent correctly classified records out of 952 records, that is, 920 records are correctly predicted given that an instance is positive.

Also, there would be 952 - 920 = 32 fraudulent incorrectly classified records, that is, 32 records incorrectly predicted given that an instance is negative.

That is,

                                                                            Predicted value

                           Active value                 Fraudulent       Non-fraudulent

                              Fraudlent                         30                       58

                          non-fraudulent                   32                     920

The classification matrix is obtained by using the information related to the transaction data, which is classified into fraudulent records and non-fraudulent records.

The error rate is obtained as shown below:

The error rate is obtained by taking the ratio of \left( {b + c} \right)(b+c) and the total number of records.

The classification matrix is, shown above

The total number of records is, 30 + 58 + 32 + 920 = 1,040

The error rate is,

\begin{array}{c}\\{\rm{Error}}\,{\rm{rate}} = \frac{{b + c}}{{{\rm{Total}}}}\\\\ = \frac{{58 + 32}}{{1,040}}\\\\ = \frac{{90}}{{1,040}}\\\\ = 0.0865\\\end{array}  

The percentage is 0.0865 \times 100 = 8.65

(a)

The classification error rate for the records those are truly fraudulent is obtained by taking the rate ratio of b and \left( {a + b} \right)(a+b) .

The classification error rate for the records those are truly fraudulent is obtained as shown below:

The classification matrix is, shown above and in the attachment

The error rate for truly fraudulent is,

\begin{array}{c}\\FP = \frac{b}{{a + b}}\\\\ = \frac{{58}}{{30 + 58}}\\\\ = \frac{{58}}{{88}}\\\\ = 0.6591\\\end{array}  

The percentage is, 0.6591 \times 100 = 65.91

(b)

The classification error rate for records that are truly non-fraudulent is obtained by taking the ratio of d and \left( {c + d} \right)(c+d) .

The classification error rate for records that are truly non-fraudulent is obtained as shown below:

The classification matrix is, shown in the attachment

The error rate for truly non-fraudulent is,

\begin{array}{c}\\TP = \frac{d}{{c + d}}\\\\ = \frac{{920}}{{32 + 920}}\\\\ = \frac{{920}}{{952}}\\\\ = 0.9664\\\end{array}

The percentage is, 0.9664 \times 100 = 96.64

6 0
2 years ago
1. how many 1/8 are in 1 2.how many 1/8 are in 3?
maksim [4K]
Well there are 8 in 1/8 so you multiply that but three and you get 24
The answer is 24
3 0
3 years ago
Y = x - 6<br> 5x - 2y = -30
UkoKoshka [18]

Answer:

(-14,-20)

Step-by-step explanation:

hope it helps!

5 0
2 years ago
Read 2 more answers
Isabella worked 50 hours over the past two weeks, and she gets paid by the hour. During the first week of the two-week span, she
mestny [16]
$475.   because 285/30 = 9.5 and 9.5 x 50 = 475
6 0
3 years ago
Read 2 more answers
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