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vazorg [7]
3 years ago
7

Mike bought 7 new baseball trading cards to add to his collection. His dog ate half of his collection. There are now only 25 car

ds left. How many cards did Mike have to start with?
Mathematics
1 answer:
RSB [31]3 years ago
6 0

Answer:50

Step-by-step explanation:

Bc 25+25 is 50.

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Please help I’ll mark you as brainliest if correct!
alekssr [168]

Answer:

a. answer choice c

b. 20301

Step-by-step explanation:

You first need to understand a formula for finding the sum of consecutive integers starting from one: (m*(m+1))/2, m is the biggest number in the set.

a. The biggest number in your set is 100, so we plug in 100 for m and solve:

100*101/2=50*101=5050

b. Same thing. Use the formula t plug in 201 for m:

201*202/2=201*101=20301

The only reason you have the picture next to your question is to prove the formula (m*(m+1))/2.

4 0
2 years ago
If LM = 16, MN = 13x, and LN = 19x + 10, what is MN?
Aliun [14]

Answer:

4.875

Step-by-step explanation:

LM = 16,

MN = 13x

LN = 19x + 10

Now look at the alphabets and imagine the line in your head. just take it as a straight line

L M N

|---------------|------------------|

Like this, so we can see that LM+MN = LN

Therefore

LM +MN = LN

16 + 3x = 19x + 10

3x - 19x = - 16 +10

-16x = - 6

16x = 6

8x = 3

x = 3/8

Now put this value of x into MN

MN =13x

= 13 (3/8)

=4.875

8 0
3 years ago
Describe and correct the error in determining wheather (8,11) is a solution of y-x=3
Burka [1]

(8, 11) is the correct solution. x = 8, y = 11

Plug it in:

11-8=3

That's correct.

7 0
3 years ago
Read 2 more answers
Find the indicated probabilities using the geometric distribution, Poisson distribution, or the binomial distribution. The mean
ExtremeBDS [4]

Answer:

0.1606 = 16.06% probability that the number of births in any given minute is exactly five.

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given interval.

In this question:

We only have the mean during an interval, and this is why we use the Poisson distribution.

The mean number of births per minute in a given country in a recent year was about 6.

This means that \mu = 6

Find the probability that the number of births in any given minute is exactly five.

This is P(X = 5). So

P(X = 5) = \frac{e^{-6}*6^{5}}{(5)!} = 0.1606

0.1606 = 16.06% probability that the number of births in any given minute is exactly five.

8 0
3 years ago
Suppose that a die-hardly-ever battery has an exponential time-to-failure distribution with a mean of 48 months. at 60 months, t
mel-nik [20]

Since the time to failure distribution is exponential, the distribution is F (n) = 1 – e ^ (-x/48)

The probability of failure between months 60 and 72 is the same as the probability that the battery will fail in 12 months, since the exponential distribution is memoryless F (12) = 0.221

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7 0
4 years ago
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