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Illusion [34]
2 years ago
12

There are 100 bacteria in a jar. Every day, the number of bacteria increases 25%. In approximately how many days will there be 5

00 bactria in the jar? Pick the closest answer.
A. 3
B. 12
C. 10
D. 2
E. 7
Mathematics
2 answers:
vodomira [7]2 years ago
6 0

Answer:

E. 7

Step-by-step explanation:

General form of exponential equation:  y=ab^x

where a is the initial value, b is the growth/decay rate, and x is time.

Given:

  • a = 100 bacteria
  • b = 25% increase = 1.25
  • x = number of days

⇒ y=100 \cdot 1.25^x

If y = 500, then:

\implies 500=100 \cdot 1.25^x

\implies 5=1.25^x

\implies \ln5=\ln1.25^x

\implies \ln5=x\ln1.25^

\implies x=\dfrac{\ln5}{\ln1.25}

\implies x=7.212567439...

\implies x \approx7

algol [13]2 years ago
5 0

Use compound interest formula

\\ \rm\Rrightarrow P(1+r/100)^t=500

\\ \rm\Rrightarrow 100(1+0.25)^t=500

\\ \rm\Rrightarrow (1.25)^t=5

\\ \rm\Rrightarrow log(1.25)^t=log5

\\ \rm\Rrightarrow tlog1.25=log5

\\ \rm\Rrightarrow t(0.097)=0.3

\\ \rm\Rrightarrow t=3.3\approx 3

Option A

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I hope this helps you

3 0
3 years ago
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Do 12 / 15 and 8 / 10 have the same value? Explain your answer.
yKpoI14uk [10]
Hello there!


12/15 and 8/10 don't have the same value.

Reason: 
let's simplify both.

12/3 = 4

15/3 = 5

12/15 = 5/4


8/2 = 4

10/2 = 5

8/10 = 4/5


5/4 is greater than 4/5

5/4 > 4/5


Hope i helped!

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~ Zoe
3 0
4 years ago
Fifty-five and one-half percent of shareholders in a fast food chain are under 40. If 91,00 shareholders, how many are 40 and ov
Setler [38]
0.555x91,000=50,505 are under 40
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3 0
3 years ago
7b<br> 15<br> 4 Help fast pls
Sladkaya [172]

Answer:

What!??!

Step-by-step explanation:

7b + 15 ??

or

7b x 15

7 0
3 years ago
Read 2 more answers
A consumer group has determined that the distribution of life spans for gas ovens has a mean of 15.0 years and a standard deviat
Mnenie [13.5K]

Answer:

B. Mean = 1.6 years, standard deviation = 0.92 years, shape: approximately Normal.

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 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.

Subtraction of normal variables:

When we subtract normal variables, the mean is the subtraction of the means, while the standard deviation is the square root of the sum of the variances.

35 gas ovens

A consumer group has determined that the distribution of life spans for gas ovens has a mean of 15.0 years and a standard deviation of 4.2 years. This means that:

\mu_G = 15, \sigma_G = 4.2, n = 35, s_G = \frac{4.2}{\sqrt{35}} = 0.71

40 electric ovens.

The distribution of life spans for electric ovens has a mean of 13.4 years and a standard deviation of 3.7 years.

\mu_E = 13.4, \sigma_E = 3.7, n = 40, s_E = \frac{3.7}{\sqrt{40}} = 0.585

Which of the following best describes the sampling distribution of barXG - bar XE, the difference in mean life span of gas and electric ovens?

By the Central Limit Theorem, the shape is approximately normal.

Mean: \mu = \mu_G - \mu_E = 15 - 13.4 = 1.6

Standard deviation:

s = \sqrt{s_G^2+s_E^2} = \sqrt{(0.71)^2+(0.585)^2} = 0.92

So the correct answer is given by option b.

3 0
3 years ago
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