Am not sure if I started this right, but it's probability, can someone check if I started right?

Mathematics

1 answer:

Sphinxa [80]3 years ago

6 0

Yup! You got it so far! Keep it up! <3

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olya-2409 [2.1K]

Answer:

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2 years ago

Ashley digs 7 holes.She puts 2 seeds in each hole.She has 3 seeds left over.How many seeds are there in all?

Semenov [28]

17 seeds are left over because in the 7 holes she puts 2 seeds in each which if you multiply it it will equal to 14 and plus the three that she has left over and if you add 14 and 3 you get 17 seeds. hope this helps!

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3 years ago

Read 2 more answers

Solving by elimination <br> -6x+6y=6 -6x+3y=-12

labwork [276]

So elimination method is basically adding the equations and canceling out variables.
-6x + 6y = 6
-6x + 3y = -12
The eaiest way to solve is by multiplying the bottom equation by -1.
-6x + 6y = 6
6x - 3y = 12
Now you add the eqautions.
3y = 18
Divde 3 from both sides.
y = 6
Now plug in 6 into any of the original two equations. Lets use the first one.
-6x + 6(6) = 6
-6x + 36 = 6
Subtract 36 from both sides.
-6x = -30
Divide -6 from both sides.
x = 5
So your solution is (5, 6).
I hope this helps love! :)

8 0

2 years ago

According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a

Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

$\mu = 7.5, \sigma = 1.1$