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max2010maxim [7]
3 years ago
12

How much interest is earned on a principal of 646 invested at an interest rate of 5 for two years

Mathematics
1 answer:
IceJOKER [234]3 years ago
5 0

Answer:

Step-by-step explanation:

P=646

R=5%

T=2yrs

I=?

I=PRT/100

I= 646*5*2/100

I= 64.6

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Darin skateboarded to the west at 8 m/s. In 7 seconds, he slowed down to 3
MakcuM [25]

Answer:

C) -0.71m/s²

Step-by-step explanation:

V = V0 + at

V = final veloctiy

V0 = Initial velocity

a = acceleration

t = time

3 = 9 + a7

-5 = a7

-\frac{5}{7} = a

a ≅ -0,71

3 0
3 years ago
which of the following is a statistical question ?a.how old are you ? B.do you play softball ?C.how tall are you ? D.how old are
sleet_krkn [62]
Answer is D.How old are the players on your softball team.
8 0
3 years ago
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What is the value of the expression w – 4 when w = –17?
JulsSmile [24]
=(-17) - 4
=(-17) + (-4)
=(-21)

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3 years ago
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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
Help me with this plz
Paul [167]
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6)8000+400+70+4
7)700+70+2
8)30,000+7000+200+80+2
9)700,000+30,000+5,000+800+10+1
10)40,000+6000+400+40+9
11)5000+8000+70+2
12)5,000,000+700,000+50,000+8,000+900+40+5
13)5,000,000+900,000+90,000+8,000+800+90+0
14)300+70+7
15)300,000+20,000+3,000+200+40+8
5 0
3 years ago
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