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melamori03 [73]
3 years ago
5

Write 1.2 as a percentplease if you can show your workTHANKS!!​

Mathematics
2 answers:
Bogdan [553]3 years ago
6 0
Hello I just checked the cell theory of everything I did and it I did a lot for the first three weeks I was going haha you got a good time to be a good game to you and your mom was the time of time you wanna was the time long time sucky sucky ducky I was just the answer is 12
DIA [1.3K]3 years ago
4 0

Answer:

120%

Step-by-step explanation:

its 20/100, because a zero has to be at the end of 2 and that would be 20 and it cant be over 10 cause thats imporper so its over 100

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Which numbers below are odd? Check all that apply.
andrew-mc [135]
Answer:
C and B I think
3 0
3 years ago
Read 2 more answers
Shelia's measured glucose level one hour after a sugary drink varies according to the normal distribution with μ = 117 mg/dl and
TiliK225 [7]

Answer:

The level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L is L = 127.1 mg/dl.

Step-by-step explanation:

To solve this problem, 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.

Central limit Theorem

The Central Limit Theorem estabilishes that, for a random variable X, with mean \mu and standard deviation \sigma, a large sample size can be approximated to a normal distribution with mean \mu and standard deviation \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 117, \sigma = 10.6, n = 6, s = \frac{10.6}{\sqrt{6}} = 4.33

What is the level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L ?

This is the value of X when Z has a pvalue of 1-0.01 = 0.99. So X when Z = 2.33.

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

By the Central Limit Theorem

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

2.33 = \frac{X - 117}{4.33}

X - 117 = 2.33*4.33

X = 127.1

The level L such that there is probability only 0.01 that the mean glucose level of 6 test results falls above L is L = 127.1 mg/dl.

6 0
4 years ago
-7 x - 2y = -13 <br> x - 2y = 11
VashaNatasha [74]
Well the first one would convert to
-2y= 7x-13 and the second one would be -2y=-x+11 and you solve from there (lmk if you need the steps) but your final answer would be. Y= -7/2x+ 13/2 and y=1/2x - 11/2
8 0
3 years ago
3. There were 567 whos in Whoville. Each who ate 814 bowls of
Rasek [7]
All together, there were 461,538 bowls of stew eaten all together.
6 0
3 years ago
What time does the clock show?<br> 12<br> 1<br> 11<br> 10<br> 3 -<br> 8<br> 4.<br> 1<br> 7 6<br> 5
amm1812

Answer:

6:59

Step-by-step explanation:

Hour : Minute

Small hand is hour hand, large hand is minute hand. Minutes go by the small tic marks, where the hours go off of the numbers.

3 0
3 years ago
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