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victus00 [196]
4 years ago
12

HELP!!!!!!!! The histogram below shows the estimated monthly salaries of company employees with different years of experience.

Mathematics
2 answers:
Rudiy274 years ago
7 0
The correct answer is A. The scale on the y<span>-axis overemphasizes the difference in salaries between different experience levels.</span>
Likurg_2 [28]4 years ago
5 0
<span>Answer:  
_________________________________________________________
The "scale" used on the "x-axis" for the graph shown (i.e. "Years of Experience") does not fully account for the "estimated monthly salaries" (scale on the "y-axis")  <u>AMONG different experience </u><u>levels</u> .
_________________________________________________________</span>
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Concerns about climate change and CO2 reduction have initiated the commercial production of blends of biodiesel (e.g., from rene
Veronika [31]

Answer:

99% of the sample means will fall between 0.93288 and 0.94112.

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 normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, 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.

The true mean is .9370 with a standard deviation of 0.0090

This means that \mu = 0.9370, \sigma = 0.0090

Sample of 32:

This means that n = 32, s = \frac{0.009}{32} = 0.0016

Within what interval will 99 percent of the sample means fall?

Between the 50 - (99/2) = 0.5th percentile and the 50 + (99/2) = 99.5th percentile.

0.5th percentile:

X when Z has a pvalue of 0.005. So X when Z = -2.575.

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

By the Central Limit Theorem

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

-2.575 = \frac{X - 0.9370}{0.0016}

X - 0.9370 = -2.575*0.0016

X = 0.93288

99.5th percentile:

X when Z has a pvalue of 0.995. So X when Z = 2.575.

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

2.575 = \frac{X - 0.9370}{0.0016}

X - 0.9370 = 2.575*0.0016

X = 0.94112

99% of the sample means will fall between 0.93288 and 0.94112.

6 0
3 years ago
The equation p(t) = 1.e represents a
zvonat [6]

Answer:

(b), (d) and (e)

Step-by-step explanation:

Given

p(t) = 1 * e^t

See attachment for y = p(t)

Required

Select true statements from the given options

(a) \ln(30) = days the bacteria reaches 30000

We have:

p(t) = 1 * e^t

In this case:

t = \ln(30) and p(t) = 30000

So, we have:

30000 = 1 * e^{\ln(30)}

30000 = e^{\ln(30)}

Using a calculator, we have:

e^{\ln(30)} = 30

So:

30000 = 30

The above equation is false.

(a) is not true

(b) The graph shows that \ln(20) \approx 3

We have:

p(t) = 1 * e^t

Let t = 3

So;

p(3) = 1 * e^3

From the graph, p(3) = 20

So:

20 = 1 * e^3

20 = e^3

Take natural logarithm of both sides

\ln(20) = \ln(e^3)

This gives:

\ln(20) = 3

(b) is true

(c) \ln(t) = y is the logarithm form of y = e^t

We have:

y = e^t

Take natural logarithm of both sides

\ln(y) = \ln(e^t)

This gives:

\ln(y) = t

\ln(y) = t  \ne \ln(t) = y

(c) is false

(d) e^4 > 50 and  \ln(50) < 4

From the graph, we have:

e^4 = 54 --- rough readings

This implies that:

e^4 > 50 is true

Because 54 > 50

Take natural logarithm of both sides

\ln(54) > \ln(50)

Rewrite as:

\ln(50) < \ln(54)

We have:

e^4 = 54

Take natural logarithm of both sides

\ln(e^4) = \ln(54)

4 = \ln(54)

\ln(54) = 4

Substitute \ln(54) = 4 in \ln(50) < \ln(54)

\ln(50) < 4

(d) is true

(e) The graph shows that 10 \approx \ln(2.3)

We have:

p(t) = 1 * e^t

Let t = 2.3

So;

p(2.3) = 1 * e^{2.3}

From the graph,

p(2.3) = 10 ---- rough readings

So:

10 = 1 * e^{2.3}

10 = e^{2.3}

Take natural logarithm of both sides

\ln(10) = \ln(e^{2.3})

This gives:

\ln(10) = 2.3

(e) is true

4 0
3 years ago
How to write an equation in standard form
densk [106]
There ya go hope it helps

6 0
4 years ago
What is the value of s in the equation 3 r equals 10 plus 5 s, when r equals 10?
Artemon [7]

Answer:

s = 4

Step-by-step explanation:

3r = 10 + 5s

3×10 = 10 + 5s

5s = 30 - 10

5s = 20

s = 20 : 5

s = 4

7 0
3 years ago
Read 2 more answers
Substitute x with -2
aleksley [76]

Answer:

-105

Step-by-step explanation:

Substituting is like "plug and chug", so we can plug in -2 into the expression and get (13 - 4(-2))((-2)^2+5(-2)+1), which simplifies into 21*-5, or -105. \blacksquare

7 0
4 years ago
Read 2 more answers
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