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morpeh [17]
3 years ago
8

What is 5,853.128 rounded to the nearest hundredth

Mathematics
1 answer:
erica [24]3 years ago
3 0
The answer is 5853.13
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PLS HELP I WILL GIVE BRAINLIEST AND 40 POINTS
arlik [135]
Number 10:
 All angles in a triangle =180 degrees

so add the first to and subtract that by 180

166 degrees
180-166=14
so x=14 degrees 



5 0
3 years ago
6. How do you find the slope of a line?
S_A_V [24]

Answer:

D

Step-by-step explanation:

3 0
3 years ago
Chris has been hired to assess a new version of a college entrance exam. He randomly assigns 100 high school juniors to take the
balu736 [363]

Answer:

Internal validity

Step-by-step explanation:

The internal validity here is weak

Internal validity describes the extent to which an evidence weighs the cause and effect claim. In this study, the internal validity that brought about failure in the new exam is mainly due to the environment where the exam was written and not the new exam itself.

So this validity is weak in claiming that the new exam is not a good substitute for the old exam.

Putting them in the same good environment might help the researchers to draw a better conclusion.

7 0
3 years ago
For a fair coin, suppose you toss the coin 100 times.
Natasha_Volkova [10]

Using the normal distribution, it is found that there is a 0.0005 = 0.05% probability of getting more than 66 heads.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
  • The binomial distribution is the probability of x successes on n trials, with p probability of a success on each trial. It can be approximated to the normal distribution with \mu = np, \sigma = \sqrt{np(1-p)}.

For the binomial distribution, the parameters are given as follows:

n = 100, p = 0.5.

Hence the mean and the standard deviation of the approximation are given as follows:

  • \mu = np = 100(0.5) = 50.
  • \sigma = \sqrt{np(1-p)} = \sqrt{100(0.5)(0.5)} = 5

Using continuity correction, the probability of getting more than 66 heads is P(X > 66 + 0.5) = P(X > 66.5), which is <u>one subtracted by the p-value of Z when X = 66.5</u>.

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

Z = \frac{66.5 - 50}{5}

Z = 3.3

Z = 3.3 has a p-value of 0.9995.

1 - 0.9995 = 0.0005.

0.0005 = 0.05%

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

6 0
1 year ago
How to show the work for 163-66
ArbitrLikvidat [17]
Put 163 on top and then 66 on bottoms of the equation and then subtract. 3-6 u can't do so u barrow from the 6 and turn the 6 into a 5 and the 3 into a 13 then subtract 13 from 6 and get 7 then u can't subtract 5 from 6 so barrow from the 1 to make the 5 a 15 and the 1 to a 0 and then subtract 15 from 6 and get 9 and ur answer is 97!
4 0
3 years ago
Read 2 more answers
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