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il63 [147K]
3 years ago
14

Which statement explains why 49 is a perfect square?

Mathematics
2 answers:
Sav [38]3 years ago
5 0
It’s 49 is equal to 7 times 7
Ghella [55]3 years ago
5 0

Answer:

49 is equal to 7 times 7

Step-by-step explanation:

49 can be multiplied by 49 does not explain why 49 is a perfect square.

49 is not equal to 7 plus 7.

49 is between 36 and 64 does not help in explaining why 49 is a perfect square.

49 is equal to 7 times 7 explains why 49 is a perfect square. A perfect square is an integer that is a square of an integer.

7² = 49

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the student council published the results of the survey about The new school mascot. Jesse spilled water on the paper, but he kn
DiKsa [7]
I think it is 38% I pretty sure
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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
PLEASE HELP ME ASAP!! Write the following statement as an inequality: 8 less than a number w is under 35.
Lesechka [4]

Answer:

8<w<35

Step-by-step explanation:

the w has to be over 8, but less than 35, so 8<w<35 is ur answer.

// have a great day //

3 0
3 years ago
Whats (c-7)(c+5) , (double brackets)
kherson [118]

▪▪▪▪▪▪▪▪▪▪▪▪▪  {\huge\mathfrak{Answer}}▪▪▪▪▪▪▪▪▪▪▪▪▪▪

let's evaluate :

  • (c - 7)(c + 5)

  • {c}^{2}  + 5c - 7c - 35

  • {c}^{2}  - 2c - 35
6 0
3 years ago
Read 2 more answers
In Happyville, the ideal family has four children, at least two of which are girls. If you randomly select a Happyville family t
sleet_krkn [62]

Answer:

0.3125 = 31.25% probability that it is not ideal.

Step-by-step explanation:

For each children, there are only two possible outcomes. Either it is a girl, or they are not. The probability of a child being a girl is independent of any other child. This means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

0.5 probability of a children being a girl:

This means that p = 0.5

If you randomly select a Happyville family that has four children, what is the probability that it is not ideal?

Not ideal is less than two girls, so this is P(X < 2).

Four children means that n = 4. So

P(X < 2) = P(X = 0) + P(X = 1)

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{4,0}.(0.5)^{0}.(0.5)^{4} = 0.0625

P(X = 1) = C_{4,1}.(0.5)^{1}.(0.5)^{3} = 0.25

P(X < 2) = P(X = 0) + P(X = 1) = 0.0625 + 0.25 = 0.3125

0.3125 = 31.25% probability that it is not ideal.

7 0
3 years ago
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