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borishaifa [10]
3 years ago
15

Does the exponential function, y=(0.15)^x, model exponential growth, or exponential decay?

Mathematics
1 answer:
attashe74 [19]3 years ago
8 0

Answer:it does exponential decay

Step-by-step explanation:

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A telephone exchange operator assumes that 8% of the phone calls are wrong numbers. If the operator is right, what is the probab
Vera_Pavlovna [14]

Answer:

The probability that the sample proportion differ from the population proportion by greater than 3% is 0.0241.

Step-by-step explanation:

Let <em>X</em> = number of phone calls that are wrong numbers.

The proportion of phone calls that are wrong numbers is, <em>p</em> = 0.08.

A sample of<em> </em><em>n</em> = 421 phone calls is selected to determine the proportion of wrong numbers in this sample.

The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> and <em>p</em>.

The probability mass function of a Binomial distribution is:

P(X=x)={421\choose x}0.08^{x}(1-0.08)^{421-x}

Now, for the sample proportion to differ from the population proportion by 3% the value of the sample proportion should be:

\hat p-p=0.03\\\hat p-0.08=0.03\\\hat p=0.11                            \hat p-p=-0.03\\\hat p-0.08=-0.03\\\hat p=0.05

So when the sample proportion is less than 5% or greater than 11% the difference between the sample proportion and population proportion will be greater than 3%.

  • If sample proportion is 5% then the value of <em>X</em> is,

        X=np=421\times 0.05=21.05\approx21

        Compute the value of P (X ≤ 21) as follows:

       P(X\leq 21)=\sum\limits^{21}_{x=0}{{421\choose x}0.08^{x}(1-0.08)^{421-x}}=0.0106

  • If the sample proportion is 11% then the value of <em>X</em> is,

        X=np=421\times 0.11=46.31\approx47

        Compute the value of P (X ≥ 47) as follows:

       P(X\geq 47)=\sum\limits^{471}_{x=47}{{421\choose x}0.08^{x}(1-0.08)^{421-x}}=0.0135

Then the probability that the sample proportion differ from the population proportion by greater than 3% is:

P(\hat p-p>0.03)=P(X\leq 21)+P(X\geq 47)=0.0106+0.0135=0.0241

Thus, the probability that the sample proportion differ from the population proportion by greater than 3% is 0.0241.

7 0
3 years ago
Simplify −6+13x−7−16x.
mars1129 [50]
Answer: -13-3X
Combine like terms.
-6-7= -13
13X- 16X= -3X
7 0
3 years ago
Read 2 more answers
Two functions are given below: f(x) and h(x). State the axis of symmetry for each function and explain how to find it.
Gnom [1K]

Answer:x

Step-by-step explanation:

4 0
3 years ago
A population has a mean of 200 and a standard deviation of 50. Suppose a sample of size 100 is selected and x is used to estimat
zmey [24]

Answer:

a) 0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b) 0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

Step-by-step explanation:

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

Normal probability distribution

When the distribution is normal, we use 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 question, we have that:

\mu = 200, \sigma = 50, n = 100, s = \frac{50}{\sqrt{100}} = 5

a. What is the probability that the sample mean will be within +/- 5 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 200 + 5 = 205 subtracted by the pvalue of Z when X = 200 - 5 = 195.

Due to the Central Limit Theorem, Z is:

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

X = 205

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

Z = \frac{205 - 200}{5}

Z = 1

Z = 1 has a pvalue of 0.8413.

X = 195

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

Z = \frac{195 - 200}{5}

Z = -1

Z = -1 has a pvalue of 0.1587.

0.8413 - 0.1587 = 0.6426

0.6426 = 64.26% probability that the sample mean will be within +/- 5 of the population mean.

b. What is the probability that the sample mean will be within +/- 10 of the population mean (to 4 decimals)?

This is the pvalue of Z when X = 210 subtracted by the pvalue of Z when X = 190.

X = 210

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

Z = \frac{210 - 200}{5}

Z = 2

Z = 2 has a pvalue of 0.9772.

X = 195

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

Z = \frac{190 - 200}{5}

Z = -2

Z = -2 has a pvalue of 0.0228.

0.9772 - 0.0228 = 0.9544

0.9544 = 95.44% probability that the sample mean will be within +/- 10 of the population mean.

7 0
3 years ago
A plumber has a 40-foot piece of PVC pipe. How many 11/5 foot pieces can be cut from the 40 foot piece?
Lena [83]

Hello,

40 ÷ 11/5 = 40 × 5 / 11 ≈ 18

5 0
4 years ago
Read 2 more answers
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