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vesna_86 [32]
4 years ago
13

The bacterium, cholera, reproduces at an exponential rate which can be modeled through the continuous growth model. If the value

for k is 1.38 and we initially start with 2 bacteria, what is the equation for cholera growth, where t is the number of hours?
Mathematics
1 answer:
mr_godi [17]4 years ago
7 0
The continuous growth rate model stipulates that the rate of population change \dfrac{\mathrm dP}{\mathrm dt} is in proportion with the actual population P(t) (a function of time t). That is, there is some k such that

\dfrac{\mathrm dP}{\mathrm dt}=kP

Solving for P, you get

\dfrac{\mathrm dP}{P}=k\,\mathrm dt\implies \ln|P|=kt+C\implies P=Ce^{kt}

You're given that k=1.38>0, so the population is increasing. At time t=0, you start with 2 bacteria, so P(0)=2 and

2=Ce^{k\times0}\implies C=2

So, the growth equation is

P(t)=2e^{1.38t}
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Let the sample size of leg strengths to be 7 and the sample mean and sample standard deviation be 630 watts and 32 watts, respec
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Answer:

a. There is_<u><em>sufficient</em></u> evidence that the leg

C. 0.010 < P-value < 0.025

b. Power of test = 1- β=0.2066

c. So the sample size is 88

Step-by-step explanation:

We formulate the null and alternative hypotheses as

H0 : u1= u2 against Ha : u1 > u2 This is a right tailed test

Here n= 7 and significance level ∝= 0.005

Critical value for a right tailed test with 6 df is 1.9432

Sample Standard deviation = s= 32

Sample size= n= 7

Sample Mean =x`= 630

Degrees of freedom = df = n-1= 7-1= 6

The test statistic used here is

Z = x- x`/ s/√n

Z= 630-600 / 32 / √7

Z= 2.4797= 2.48

P- value = 0.0023890 > ∝ reject the null hypothesis.

so it lies between 0.010 < P-value < 0.025

b) Power of test if true strength is 610 watts.

For  a right tailed test value of z is = ± 1.645

P (type II error) β= P (Z< Z∝-x- x`/ s/√n)

Z = x- x`/ s/√n

Z= 610-630 / 32 / √7

Z=0.826

P (type II error) β= P (Z< 1.645-0.826)

= P (Z> 0.818)

= 0.7933

Power of test = 1- β=0.2066

(c)

true mean = 610

hypothesis mean = 600

standard deviation= 32

power = β=0.9

Z∝= 1.645

Zβ= 1.282

Sample size needed

n=( (Z∝ +Zβ )*s/ SE)²

n=  ((1.645+1.282) 32/ 10)²

Putting the values  and solving we get 87.69

So the sample size is 88

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Answer:

Step-by-step explanation:

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