1answer.
Ask question
Login Signup
Ask question
All categories
  • English
  • Mathematics
  • Social Studies
  • Business
  • History
  • Health
  • Geography
  • Biology
  • Physics
  • Chemistry
  • Computers and Technology
  • Arts
  • World Languages
  • Spanish
  • French
  • German
  • Advanced Placement (AP)
  • SAT
  • Medicine
  • Law
  • Engineering
Rzqust [24]
3 years ago
13

Remove the parentheses and simplify 5c+5d-6(6c-6d)=

Mathematics
1 answer:
yKpoI14uk [10]3 years ago
8 0
The answer is 31c + 41d. Just simplify the expression and use distributive property!
You might be interested in
Tell whether the number is prime or composite
Lerok [7]
Or mine means that itself and 1 can only go into it. Conposit means that multiple numbers can go into it like 24. 12,6,8,2 can all go into it
6 0
3 years ago
Does the point (4, 0) satisfy the equation y = –5x + 4?
Arlecino [84]

Answer:

no

Step-by-step explanation:

y = –5x + 4

Substitute the point into the equation

0 = -5(4) +4

0 = -20+4

0 = -16

This is not true so it is not a solution to the equation

4 0
3 years ago
Read 2 more answers
Write the equation so that y is a function of x..<br> 8x- 5x+21=36- 6y
Trava [24]

Answer:

Step-by-step explanation:

7 0
3 years ago
A quiz contains five true or false questions.if mason guesses ,what is the probability that he gets all five correct?
astraxan [27]

Answer:

1 out of 25

Step-by-step explanation:

6 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
chubhunter [2.5K]

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

8 0
3 years ago
Other questions:
  • (1-x)y"-4xy'+5y=cosx
    10·1 answer
  • 16pts for help with this math question
    10·2 answers
  • A rectangle has a width of 6 inches and a perimeter of 26 inches. What is the length of the rectangle?
    6·1 answer
  • There are 12 candidates running for any of 6 distinct positions in a school's student council. In how many different ways could
    14·1 answer
  • PLS HELP ME FIND MEASURE AED
    15·1 answer
  • The dinner bill came to $24.29 before tax and tip. If the taxes were 6% and they decided to leave an 18% tip, what was the total
    7·1 answer
  • the volume of metal in a scale model of a metal high tension tower is 54 cm cubed. The scale used was 1:50. it required 50 mm of
    5·1 answer
  • WOI
    9·1 answer
  • Can some one help me on this and thank u
    15·1 answer
  • Help asap 20 points <br><br> Select the correct answer from each drop-down menu.
    6·1 answer
Add answer
Login
Not registered? Fast signup
Signup
Login Signup
Ask question!