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k0ka [10]
3 years ago
6

Can someone please help me on 20 and 21

Mathematics
1 answer:
Feliz [49]3 years ago
3 0
For number 20 x = 4
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Keisha deposits $500 into an account that pays simple interest at a rate of 2% per year. How much interest will she be paid in t
Leto [7]

Answer:

$40

Step-by-step explanation:

You are going to want to use the simple interest formula for this.

I=Prt

<em>I = interest amount </em>

<em>P = principal amount </em>

<em>r = interest rate (decimal form) </em>

<em>t = time</em>

<em />

First, change 2% into its decimal form:

2% -> \frac{2}{100} -> 0.02

Next, plug in the values into the equation as shown below:

I=500(0.02)(4)

I=40

Keisha earned $40 worth of interest after the first 4 years.

4 0
3 years ago
Where could point E be and D is between E and B?
Butoxors [25]
It is d.2. because its like a pattern you have to follow on the graph.
6 0
4 years ago
Show work please and thanks!
kompoz [17]
Do you understand what I did here?

5 0
3 years ago
A study investigating the relationship between age and annual medical expenses randomly samples 400 individuals in a city. It is
ICE Princess25 [194]

Answer:

The probability is 0.789

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\sigma = 16, n = 400, s = \frac{16}{\sqrt{400}} = 0.8

Find the probability that the mean age of the individuals sampled is within one year of the mean age for all individuals in the city.​

Using \mu = 30, this is the pvalue of Z when X = 31 subtracted by the pvalue of Z when X = 29. So

X = 31

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

By the Central Limit Theorem

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

Z = \frac{31 - 30}{0.8}

Z = 1.25

Z = 1.25 has a pvalue of 0.8944

X = 29

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

Z = \frac{29 - 30}{0.8}

Z = -1.25

Z = -1.25 has a pvalue of 0.1056

0.8944 - 0.1056 = 0.7888

Rounded to three decimal places, 0.789

The probability is 0.789

4 0
3 years ago
Read 2 more answers
Helllllppppppppppp ....................
valina [46]
The correct answer is 3×10^16
5 0
4 years ago
Read 2 more answers
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