Ask question

Ask question

All categories

antoniya [11.8K]

2 years ago

5

A biology class has a total of

2 answers:

svlad2 [7]2 years ago

8 0

Females:24
Males:33

You would divide 47 by two to get 23.5, since you cannot have a half of a person, round it up to 24, then add 9 to find the number of males(33). Subtract 33 from 47 to get the number of females(24).

vivado [14]2 years ago

4 0

47 (total) - 9 (difference) = 38 (balance) ÷ 2 (male/female)
= 19 (females) + 9 = 28 (males)

Hope this helps!

You might be interested in

What is a histogram?

aliya0001 [1]

Answer:

a diagram consisting of rectangles whose area is proportional to the frequency of a variable and whose width is equal to the class interval.

explanation: A histogram is a chart that shows frequencies for. intervals of values of a metric variable. Such intervals as known as “bins” and they all have the same widths. The example above uses $25 as its bin width. So it shows how many people make between $800 and $825, $825 and $850 and so on.

5 0

3 years ago

The triangular entrance to a tent is 2/3 as wide as it is tall. The area of the entrance is 12ft^2. Find the height and the base

Reika [66]

X+ $\frac{2}{3} x$ =12
5x=36
x=7.2
So, the triangular entrance to the tent is 7.2 feet tall and 4.8 feet wide

4 0

3 years ago

The average weight of the entire batch of the boxes of cereal filled today was 20.5 ounces. A random sample of four boxes was se

zhenek [66]

Answer:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And replacing we got:

$s= 0.286$

And then the estimator for the standard error is given by:

$SE= \frac{0.286}{\sqrt{4}}= 0.143$

Step-by-step explanation:

For this case we have the following dataset given:

20.05, 20.56, 20.72, and 20.43

We can assume that the distribution for the sample mean is given by:

$\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})$

And the standard error for this case would be:

$SE= \frac{\sigma}{\sqrt{n}}$

And we can estimate the deviation with the sample deviation:

$s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}$

And replacing we got:

$s= 0.286$

And then the estimator for the standard error is given by:

$SE= \frac{0.286}{\sqrt{4}}= 0.143$

4 0

3 years ago

What is 927 divided by 9

aliya0001 [1]

Answer:103

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers

13501 rounded to the nearest 10000

tino4ka555 [31]

13,501 rounded to the nearest 10,000 is 10,000.

8 0

3 years ago