9/5= 1.8 and 5/1= 5 so 1.8/5= 0.36 or 36/100 /2 18/50 9/25 answer : .36 or 9/25
Answer:
D., x= 19.7 or ≈20. g
Step-by-step explanation:
P(x) = [100(15+x)]/(100+x)
When 0 g additional salt is added, x=0. we have
P(0) = [100(15+0)]/(100+0)= 15
x=0, P=15
We can see this point only on the graph D.
P(x) =29 = [100(15+x)]/(100+x)
29 = [100(15+x)]/(100+x)
29(100+x) = 100(15+x)
2900+29x = 1500+100x
2900-1500=100x-29x
1400 = 71x
x ≈ 19.7 g or ≈20. g
From the graph D, we can see that to get 29% we need to add ≈ 20 g of salt.
Answer:
a) The act of selecting a sample of students that are enrolled in statistics classes exclusively is a kind of non-random selection, and <u>may contribute for the selection bias to happen since this sample population isn't representative</u> when related to all the students enrolled in this large university.
b) The non-response bias could happen when, from the 500 students sample, some of them might not be able to answer to the survey sent on their email, or simply chose not to answer it, declining to participate. With <u>less answers, the survey becomes less representative</u>.
c) The response bias could happen if students answer to their surveys in an innacurate way, usually if they support their opinion on personal beliefs that aren't always shared by the rest of the sample population. Since <u>the aim of the survey is to know the students' opinion on the foreign language classes topic, it is expected that response bias happens</u>, having in mind that opinion is a particular thought of each individual.
d) The most serious bias is the selection bias, since the validity of the whole research would be compromised if the sample population isn't representative of the group you aim to study. Without the correct representation of the aim group, the results from the survey are meaningless.
Answer:
Exponential i think
Step-by-step explanation:
1.) 421.307
2.)12.778
3.)16
4.)106.25
5.) 271.17
6.) 4136.96
7.)2614.68
8.)172.387
9.)23126.4
10.) 39.834
