You were given the data as statistics so that you can predict the number of a certain type of fish through ratio and proportion. The main focus here is then number of bluegill fish. From the given statistics, the number is 87. The total number of fishes at that time was 52+61+87 = 200. So, assuming that this composition is uniform in the said lake. We can then use the ratio from the given statistics to know the proportion of bluegills to the total fishes. Hence, we equate the two ratios:
87/200 = x/800
where x is the number of bluegills among the 800 total fishes that is in proportion to the gathered statistics. Solving for x, we determine the answer to be
x = 348
Answer:
26
Step-by-step explanation:
Find the answer by doing 4.68 divided by 0.18
Check the answer by doing 0.18 times 26 = 4.68
The distance between these coordinates is 13.41
A u B u C A=(a,b,c,d,e) B=(d,e,f,g,h,i) C=(a,e,i,o,u) help class 8
BlackZzzverrR [31]
Answer:
If U = { a, b, c, d, e, f, g, h} , find the complements of the following sets:(i) A = {a, b, c} (ii) B = {d, e, f, g} (iii) C = {a, c, e, g} (iv) D = { f, g, h, a}
Answer:
Min. 1st Qu. Median Mean 3rd Qu. Max.
3.10 11.55 12.15 15.35 18.45 30.00
Step-by-step explanation:
The five-number summary includes five things that are:
1. Minimum Value
2. First Quartile (Q₁)
3. Median
4. Third Quartile (Q₃)
5. Maximum Value
So,
1. Minimum Value = 3.10
It can be found by arranging the data in ascending order, the first value we will get is the minimum value.
2. First Quartile is the middle value between Minimum value and Median of data after arranging data in ascending order.
First Quartile (Q₁) = 11.55
3. Median is the middle value of the data after arranging them in ascending order.
Median = 12.15
4. The third Quartile is the middle value between Median and Maximum Value of data after arranging data in ascending order.
Third Quartile (Q₃) = 18.45
5. Maximum Value is the largest value of the data or is the last value after arranging the data in ascending order.
Maximum Value = 30.
Percentiles are mostly use in very large data. Here n percent of data shows the nth percentile.