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katrin [286]
3 years ago
11

Does anybody here know the metric system?

Mathematics
2 answers:
Vadim26 [7]3 years ago
8 0
Kilometers   1000m   10³
hectometer   100m     10²
decameter    10m       10¹
standerd       1m          10
REY [17]3 years ago
6 0
I sort of know the metric system
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What is the square root of 100?
natulia [17]

Answer:

10

Step-by-step explanation:

the answer is 10 because 100 divided by 10 is 10

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3 0
2 years ago
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A plane travels south for 120 km. The plane then travels north for 45 km.
umka2103 [35]

Answer:

displacement = 75 km

Step-by-step explanation:

the distance from final to initial point gives the displacement

displacement = 120 - 45

4 0
3 years ago
Solve pls brainliest
diamong [38]

Answer:

3/8 = 9/24

1/3 = 8/24

3/8 > 1/3

Step-by-step explanation:

3/8 = 9/24 (multiply both numerator and denominator by 3)

1/3 = 8/24 (multiply both numerator and denominator by 8)

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6 0
2 years ago
A statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after
lana [24]

Answer:

95% confidence interval estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

(a) Lower Limit = 0.486

(b) Upper Limit = 0.624

Step-by-step explanation:

We are given that a statistician is testing the null hypothesis that exactly half of all engineers will still be in the profession 10 years after receiving their bachelor's.

She took a random sample of 200 graduates from the class of 1979 and determined their occupations in 1989. She found that 111 persons were still employed primarily as engineers.

Firstly, the pivotal quantity for 95% confidence interval for the population proportion is given by;

                         P.Q. = \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion of persons who were still employed primarily as engineers  = \frac{111}{200} = 0.555

           n = sample of graduates = 200

           p = population proportion of engineers

<em>Here for constructing 95% confidence interval we have used One-sample z proportion test statistics.</em>

So, 95% confidence interval for the population proportion, p is ;

P(-1.96 < N(0,1) < 1.96) = 0.95  {As the critical value of z at 2.5% level of

                                                 significance are -1.96 & 1.96}  

P(-1.96 < \frac{\hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < 1.96) = 0.95

P( -1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < {\hat p-p} < 1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

P( \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } < p < \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ) = 0.95

<u>95% confidence interval for p</u> = [ \hat p-1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } , \hat p+1.96 \times {\sqrt{\frac{\hat p(1-\hat p)}{n} } } ]

 = [ 0.555-1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } , 0.555+1.96 \times {\sqrt{\frac{0.555(1-0.555)}{200} } } ]

 = [0.486 , 0.624]

Therefore, 95% confidence interval for the estimate for the proportion of engineers remaining in the profession is [0.486 , 0.624].

7 0
3 years ago
A particular beach is eroding at a rate of 4 centimeters per year. A realtor converts this rate to millimeters per day. Which ex
mr_godi [17]
First convert 4 cms to mms  by multiplying by 10 
then divide this by  number of days in a year (365)

so R = 10*4  / 365

        =  0.109589  mm / day
4 0
4 years ago
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