Firstly, let's create a function of f(t) where t represents the time that has past, and f(t) represents the amount of rainwater. We know that when t=1, then f(t)=10, and t=2 then f(t)=15. So, let's take that and analyze it:
(1,10)
(2,15)
m = (15-10)/(2-1) = 5
y-intercept = 5
∴ f(t) = 5t+5
Now we just evaluate t for 10:
f(10) = (5*10)+5
f(10) = 55
Answer: 99% of confidence interval for the population proportion of employed individuals who work at home at-least once per week
//0.20113,0.20887[/tex]
Step-by-step explanation:
<u>step 1:-</u>
Given sample size n=200
of the 200 employed individuals surveyed 41 responded that they did work at home at least once per week
Population proportion of employed individuals who work at home at least once per week P = 
Q=1-P= 1-0.205 = 0.705
<u>step 2:-</u>
Now 
=0.0015
<u>step 3:-</u>
<u>Confidence intervals</u>
<u>using formula</u>
=0.20113,0.20887[/tex]
<u>conclusion:</u>-
99% of confidence interval for the population proportion of employed individuals who work at home at-least once per week
//0.20113,0.20887[/tex]
Graph A is a linear function, while Graph B is an exponential funtion.
<span>In a survey in 2016, it was found that for 10 broad degree categories ranging from engineering to communications, projected average salary of a bachelor’s degree is </span><span>$50,556 in 2016. </span> In 2017, actual was $50,000 ($49,785, to be exact). If t$50,000 will be the basis, and the male who gets a job paying $ 40,760/yr, the difference in his yearly median income from obtaining a bachelor's degree is $9,240.
<span>His pay is 18% lower compared to the median income degree level you obtained, on a monthly basis or yearly basis</span>
