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nika2105 [10]
3 years ago
13

Help me please right away​

Mathematics
1 answer:
umka2103 [35]3 years ago
3 0

{t}^{2}  =  \frac{4b {x}^{2} }{k}  \\  k {t}^{2}  = 4b {x}^{2}  \\  \frac{k {t}^{2} }{4b}  =  {x}^{2}  \\ x =  \sqrt{ \frac{k {t}^{2} }{4b} }  =  0.5t   \sqrt{ \frac{k}{b} }

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Suppose you just received a shipment of fifteen televisions. Four of the televisions are defective. If two televisions are rando
emmasim [6.3K]

Answer:

27% chance a tv is defective. 13% chance one at least one doesn't work.

Step-by-step explanation:

100/15

4X6.67=26.67

*NOT 100% JUST TRYING TO HELP*

6 0
3 years ago
Bill is making accessories for the soccer team. He uses 838.95 inches of fabric on headbands for 32 players and 3 coaches. He al
creativ13 [48]

There was 23.29 inches used on a headband for each player.

And 8.54 inches used on a wristband for each player.

To find out how much fabric for headbands and would beused for each player/person you would do

So, if you substitute the values in it is

And finally, to find how much fabric is used on a wristband for each player/person you would use the same formula.

7 0
3 years ago
The lifespan (in days) of the common housefly is best modeled using a normal curve having mean 22 days and standard deviation 5.
Natasha_Volkova [10]

Answer:

Yes, it would be unusual.

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 normally distributed samples are 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.

If Z \leq -2 or Z \geq 2, the outcome X is considered unusual.

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.

In this question, we have that:

\mu = 22, \sigma = 5, n = 25, s = \frac{5}{\sqrt{25}} = 1

Would it be unusual for this sample mean to be less than 19 days?

We have to find Z when X = 19. So

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

By the Central Limit Theorem

Z = \frac{19 - 22}{1}

Z = -3

Z = -3 \leq -2, so yes, the sample mean being less than 19 days would be considered an unusual outcome.

7 0
3 years ago
Write 3.2x10 square (-5) in standered form
kotykmax [81]
I believe it would be 320000 sorry if I didn't really help
5 0
4 years ago
*picture from last questions!!*
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