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BARSIC [14]
3 years ago
8

A tire company produced a batch of 5 comma 900 tires that includes exactly 260 that are defective. a. If 4 tires are randomly se

lected for installation on a​ car, what is the probability that they are all​ good? b. If 100 tires are randomly selected for shipment to an​ outlet, what is the probability that they are all​ good? Should this outlet plan to deal with defective tires returned by​ consumers?
Mathematics
1 answer:
Citrus2011 [14]3 years ago
7 0
The answer is 12 I promise
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On Friday it snowed 3 2/7 inches. On Saturday it snowed 2/7 inches. How much more did it snow on Friday then Saturday? A. 3 2/7
GalinKa [24]

Answer:

3 inches

Step-by-step explanation:

We need to take the snow on Friday - the snow on Saturday

3 2/7 - 2/7

3 +(2/7-2/7)

3 inches

3 0
4 years ago
Suppose the method of tree ring dating gave the following dates A.D. for an archaeological excavation site. Please show your wor
natita [175]

Answer:

a) \bar X=\frac{1245+1245+1321+1191+1295+1330+1239+1250+1228}{9}= 1260.444

b) s =\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And if we replace we got:

s = 45.580

c) For this case since the sampel size is n=9 <30 we can use the t distribution in order to find the confidence interval.

d) 1260.444-2.306 \frac{45.580}{\sqrt{9}}= 1225.408

1260.444+2.306 \frac{45.580}{\sqrt{9}}= 1295.480

Step-by-step explanation:

For this case we ave the following data:

1245 1245 1321 1191 1295 1330 1239 1250 1228

Part a

We can calculate the sample mean with the following formula:

\bar X = \frac{\sum_{i=1}^n X_i}{n}

And if we replace we got:

\bar X= \frac{1245+1245+1321+1191+1295+1330+1239+1250+1228}{9}= 1260.444

Part b

For this case we can use the following formula in order to find the sample standard deviation:

s =\sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}

And if we replace we got:

s = 45.580

Part c

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".

For this case since the sampel size is n=9 <30 we can use the t distribution in order to find the confidence interval.

Part d

The confidence interval for the mean is given by the following formula:  

\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}   (1)  

We need to find the degrees of freedom given by:

df = n-1 = 9-1=8

Since the Confidence is 0.95 or 95%, the value of \alpha=1-0.95=0.05 and \alpha/2 =0.025, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.025,8)".And we see that t_{\alpha/2}=2.306

Now we have everything in order to replace into formula (1):

1260.444-2.306 \frac{45.580}{\sqrt{9}}= 1225.408

1260.444+2.306 \frac{45.580}{\sqrt{9}}= 1295.480

   

   

8 0
4 years ago
Find all of the zeros of the function and write the polynomial as the product of linear factors.
Tomtit [17]

Answer:

(x+6i)(x-6i)(x+1)

So the zeroes are 6i, -6i, -1

Step-by-step explanation:

Factor by grouping

h(x) = x^2(x+1) + 36(x+1)

h(x) = (x^2+36)(x+1)

3 0
3 years ago
I need help asap please i will mark you brainlist
mash [69]

Answer: B

Step-by-step explanation:

If an absolute value of a negative number plus a absolute value of the positive number is positive. Absolute value of anything is positive.

3 0
3 years ago
Find the product.
kherson [118]
<span><span><span>(<span>−<span>320x</span></span>)</span><span>(7)</span></span>16</span><span>=<span>−<span>140

The answer is -140

Hope this helps!
</span></span></span>
6 0
4 years ago
Read 2 more answers
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