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algol13
4 years ago
10

Three times a number plus 3 is 24 find the number

Mathematics
1 answer:
stiv31 [10]4 years ago
4 0
The number (variable n) would be 7. work is in the pic

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Answer:

C

Step-by-step explanation:

The angle is the same  so they would both be 60 degrees.

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3 years ago
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I need help with this question.
marshall27 [118]
That seems so hard, sending prayers and brain cells to you.
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3 years ago
YES I Am GIVING A BRAINLIST pls be accurate
CaHeK987 [17]

Answer:

y = 5x +4

Step-by-step explanation:

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8 0
3 years ago
Jeremiah always rides his bike to and from work. The total
Katen [24]

From the computation done, the total kilometers that he uses last month will be 262.8 kilometers.

The total length of a trip to and from work is 14.6 kilometers and last month, Jeremiah worked 18 days.

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= 14.6 × 18.

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7 0
3 years ago
I have 100 items of product in stock. The probability mass function for the product's demand D is P(D=90)=P(D=100)=P(D=110)=1/3.
masya89 [10]

Answer:

The probability mass function for the items sold is

P_X(k) = \left \{ {\frac{1}{3} \, \, \, {k=90} \atop \, \frac{2}{3} \, \, \, {k=100}} \right.

The mean is 96.667

The variance is 22.222

b) The probability mass function for the unfilled demand due to lack of stock is

P_Y(k) = \left \{ {\frac{2}{3} \, \, \, {k=0} \atop \, \frac{1}{3} \, \, \, {k=10}} \right.

The mean is 3.333

The variance is 33.333

Step-by-step explanation:

If the demand is higher than 100, then you will sell 100 items only. Thus, there is a probability of 1/3+1/3 = 2/3 that you will sell 100 items, while there is a probability of 1/3 that you will sell 90.

The probability mass function for the items sold is

P_X(k) = \left \{ {\frac{1}{3} \, \, \, {k=90} \atop \, \frac{2}{3} \, \, \, {k=100}} \right.

The mean is 1/3 * 90 + 2/3 * 100 = 290/3 = 96.667

The variance is V(X) = E(X²)-E(X)² = (1/3*90² + 2/3*100²) - (290/3)² = 200/9 = 22.222

b) If order to be unfilled demand, you need to have a demand of 110, which happens with probability 1/3. In that case, the value of the variable, lets call it Y, that counts the amount of unfilled demand due to lack of stock is 110-100 = 10. In any other case, the value of Y is 0, which would happen with probability 1-1/3 = 2/3. Thus

P_Y(k) = \left \{ {\frac{2}{3} \, \, \, {k=0} \atop \, \frac{1}{3} \, \, \, {k=10}} \right.

The mean is 2/3 * 0 + 1/3 * 10 = 10/3 = 3.333

The variance is 2/3*0² + 1/3*10² = 100/3 = 33.333

4 0
3 years ago
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