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Nastasia [14]
3 years ago
6

Marcy wants to buy a jacket that is advertised on sale for 30% off the original price. What is the decimal equivalent of 30%

Mathematics
1 answer:
Anna11 [10]3 years ago
3 0
0.3 is the answer
Hope this helps
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Three pounds of shrimp costs 16.47 at the grocery store. ? is the unit price of the shrimp in dollars per pound
Diano4ka-milaya [45]
the answer is $5.49. hope that helps
6 0
3 years ago
The sum of x and 10 is the product of 5 and 7
frutty [35]

(-10 + 5n) = 35

5n = 45

n = 9.

Hope this helps!

4 0
3 years ago
Read 2 more answers
P(X< ) 1-P(X> ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
Mashutka [201]

Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be 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.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

19.49% probability that no more than 16 of them are strikes

7 0
3 years ago
A book is 21 centimeters long, how long is this in meters?
Gnesinka [82]

Answer:

0.21 meters :)

Step-by-step explanation:

4 0
3 years ago
Select the shape of the graph of y=−2/3x−3 from the selections below.
BARSIC [14]

Step-by-step explanation:

Line through (0,−3) slanting down.

7 0
3 years ago
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