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hichkok12 [17]
3 years ago
13

1/3ton=____lb ..........

Mathematics
2 answers:
Shkiper50 [21]3 years ago
7 0
The answer is basically 666.66666 repeating
geniusboy [140]3 years ago
5 0

Answer:

666.667

Step-by-step explanation:

One ton weighs 2,000 lbs, so you divide 2,000 by 3.

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Express in simplest form : cubed root of a^6b^9/-64. Show work
Umnica [9.8K]
The answer is  \frac{ a^{2} b^{3} }{-4}

\sqrt[3]{ \frac{ a^{6} b^{9}  }{-64} } = \frac{ \sqrt[3]{a^{6} b^{9}} }{  \sqrt[3]{-64}  } = \frac{ \sqrt[3]{a^{6}} * \sqrt[3]{ b^{9}} }{  \sqrt[3]{-64}}
Since (xᵃ)ᵇ = xᵃ*ᵇ, then:
a⁶ = (a²)³
b⁹ = (b³)³
Also: 64 = 4³
\frac{ \sqrt[3]{a^{6}} * \sqrt[3]{ b^{9}} }{ \sqrt[3]{-64}}= \frac{ \sqrt[3]{( a^{2})^{3} }*\sqrt[3]{( b^{3})^{3} } }{\sqrt[3]{( -4)^{3} }} = \frac{ a^{2} * b^{3} }{-4}
5 0
3 years ago
Salmon Weights: Assume that the weights of spawning Chinook salmon in the Columbia river are normally distributed. You randomly
Hitman42 [59]

Answer:

a) \bar X= 19.2 represent the sample mean. And that represent the best estimator for the population mean since \hat \mu =\bar X=19.2  b) The 90% confidence interval is given by (17.3;21.1)  

c) No, because 18 is above the lower limit of the confidence interval.

d) Because the parent population is assumed to be normally distributed.

The reason of this is because the t distribution is an special case of the normal distribution when the degrees of freedom increase.

Step-by-step explanation:

1) Notation and definitions  

n=17 represent the sample size

Part a  

\bar X= 19.2 represent the sample mean. And that represent the best estimator for the population mean since \hat \mu =\bar X=19.2  Part b

s=4.4 represent the sample standard deviation  

m represent the margin of error  

Confidence =90% or 0.90

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".  

The margin of error is the range of values below and above the sample statistic in a confidence interval.  

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

2) Calculate the critical value tc  

In order to find the critical value is important to mention that we don't know about the population standard deviation, so on this case we need to use the t distribution. Since our interval is at 90% of confidence, our significance level would be given by \alpha=1-0.90=0.1 and \alpha/2 =0.05. The degrees of freedom are given by:  

df=n-1=17-1=16  

We can find the critical values in excel using the following formulas:  

"=T.INV(0.05,16)" for t_{\alpha/2}=-1.75  

"=T.INV(1-0.05,16)" for t_{1-\alpha/2}=1.75  

The critical value tc=\pm 1.75  

3) Calculate the margin of error (m)  

The margin of error for the sample mean is given by this formula:  

m=t_c \frac{s}{\sqrt{n}}  

m=1.75 \frac{4.4}{\sqrt{17}}=1.868  

4) Calculate the confidence interval  

The interval for the mean is given by this formula:  

\bar X \pm t_{c} \frac{s}{\sqrt{n}}  

And calculating the limits we got:  

19.2 - 1.75 \frac{4.4}{\sqrt{17}}=17.332  

19.2 + 1.75 \frac{4.4}{\sqrt{17}}=21.068  

The 90% confidence interval is given by (17.332;21.068)  and rounded would be:  (17.3;21.1)

Part c

No, because 18 is above the lower limit of the confidence interval.

Part d

Because the parent population is assumed to be normally distributed.

The reason of this is because the t distribution is an special case of the normal distribution when the degrees of freedom increase.

8 0
4 years ago
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