All categories

3 years ago

Luke has some boxes that are all cubes of the same size.

Mathematics

1 answer:

Scrat [10]3 years ago

8 0

Answer:

The height of a pile of 5 equal sized boxes is 95cm.

Step-by-step explanation:

We know that 1 pile of 4 is 76 cm. All we have to is divide this by 4 to find how tall one box is.

76/4 = 19.

This means that one box is 19 cm tall.

Now we will add 19cm to 76cm.

19 + 76 = 95

The height of a pile of 5 equal sized boxes is 95cm.

<em>~CaityConcerto</em>

You might be interested in

The total cost to play paintball can be represented by the expression (48x+54). If Rocco and five friends split the cost equally

KonstantinChe [14]

Answer:

8x + 9

Step-by-step explanation:

The total number of people splitting the cost equally = Rocco and five friends = 6 people

The total cost to play paintball can be represented by the expression (48x+54)

The cost for each person is calculated as: The total cost to play paintball/ Total number of people

= (48x+54)/6

= 48x/6 + 54/6

= 8x + 9

Therefore, the cost for each person is

8x + 9

6 0

3 years ago

The values of a, b, and c in the equation x² + 6x - 55 = 0 are:

Elenna [48]

Answer:

The following are the answers:

a = 1

b = 6

c = -55

Step-by-step explanation:

When looking for a, b, and c in a quadratic, you are looking at coefficients only. The coefficient of x^2, which in this case is 1, is a. The coefficient of x, which in this case is 6, is b. Lastly, the constant at the end, which in this case is -55, is c.

3 0

3 years ago

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

26.87 -5.3 =<br> ????????

jok3333 [9.3K]

Answer:

21.57

Step-by-step explanation:

26.87 - 5.3 = 21.57

8 0

3 years ago

Solve for the value of k. how? how can I solve it

Ahat [919]

Answer:

Step-by-step explanation:

The total of all the angles must be 180, since there is a straight line. We already know the 40 degree angle and the 90 degree angle, meaning that the remaining angle must be equal to 180 - 90 - 40, which is 50 degrees. Therefore, 50 = 7k + 8. 7k = 50-8 = 42, and k = 6.

4 0

3 years ago