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SOVA2 [1]
3 years ago
9

The number of students who attended Lincoln Middle School last year was 860. This year, the attendance has increased to 1032 stu

dents. What percent of last year's student population is attending Lincoln Middle School this year? (over 100%)
Mathematics
1 answer:
Tju [1.3M]3 years ago
7 0

Answer:

120 %.

Step-by-step explanation:

That is (1032 * 100) / 860 %

= 120 %

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What is the parameter of interest to compare the proportions from two populations?
Marysya12 [62]
As with comparing two population proportions, when we compare two population means from independent populations, the interest is in the difference of the two means. In other words, if is the population mean from population 1 and is the population mean from population 2, then the difference is μ 1 − μ 2 .



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7 0
2 years ago
An engineer is building a bridge that should be able to hold a maximum weight of 1 ton. He builds a model of the bridge that is
MrRissso [65]

Answer:

First blank- 32000 ounces

Second blank- 2000 pounds

Yes the bridge can hold 1 ton.

Step-by-step explanation:

The ratio of the scale of the model to the real bridge = 1:4

The test model shows the model can take 8000 ounces

The real bridge will therefore take 8000 x 4 = 32000 ounces

16 ounces = 1 pound

32000 ounces =  x pounds

==>  = 32000/16 = 2000 pounds

2000 pounds = 1 ton

therefore the bridge holds 1 ton

6 0
3 years ago
Read 2 more answers
Is this correct? 35 points
makvit [3.9K]

Yes it is correct

Hope this helps ^_^

8 0
3 years ago
Read 2 more answers
Researchers working the mean weight of a random sample of 800 carry-on bags to e the airline. Which of the following best descri
Sphinxa [80]

Answer:

(E) The bias will decrease and the variance will decrease.

Step-by-step explanation:

Given that researchers working the mean weight of a random sample of 800 carry-on bags to e the airline.

We have to find out the effect of increasing the sample size on variance and bias.

We know as per central limit theorem, sample mean follows a normal distribution with mean = sample mean

and std deviation of sample mean = std error = \frac{std dev}{\sqrt{n} }

Thus std error the square root of variance is inversely proportional to the square root of sample size.

Also whenever we increase sample size the chances of bias would decrease as the sample size becomes larger

So correct answer is both bias and variation will decrease.

(E) The bias will decrease and the variance will decrease.

8 0
4 years ago
B) Find all 3-tuples (a,b,c) satisfying
Tanya [424]
Abc is the answer hope that helps
5 0
3 years ago
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