<p>@rabbitfoot</p>
<p>I did</p>
<p>the tan|2x| option can be done by drawing the graph…the period is 1/2 of what the normal graph is i.e. pi/2</p>
<p>and the solution to the functions is I and II because when you draw graphs of f(x) and g(x), the intersection of both graphs is the solution i.e. the x and y co-ordinates.</p>
<p>i don’t know about the standard deviation one. I chose option A which was 8,10,10,10,10,12 I think? I maybe wrong</p>
<p>what did you guys get for the last question about the geometric series with the complex numbers? though time pressure got the best of me, I got -2-i, but I’m really not sure…</p>
<p>@VeryPractical</p>
<p>Sorry about that I forgot the weeks and I just wrote on this page the population that I remembered</p>
<p>That box and whisker plot? Really College Board? What did you guys put for that one? I think I put like 50%… but I wasn’t sure at all.</p>
<p>I got 75% for that.</p>
<p>i did it by seeing the length of the box which was ~ 75%</p>
<p>@rabbitfoot</p>
<p>the 1 and 2 you mean is the f(x)=g(x) ?</p>
<p>@superchicken777</p>
<p>lol it’s k, just got confused with what i answered</p>
<p>does anyone remember the selling q?
400 products were sold and a week later, 840 were sold. 1840 were sold 10 weeks later
how many weeks would be when the amount reach 10000?</p>
<p>@AuroraHotaru: 24 weeks. It can be calculated by plotting a exponential regression graph.</p>
<p>anyone with all the answers?</p>
<p>karan11295: the answer is 21 weeks. here’s the explanation:
in 5 weeks the sales of the mobile phone is 850(or 860-don’t know exactly but the number is somewhere around 850). Then you can use the equation: 850= 400 e^(n<em>5) and solve for n.
then for final equation: 10000= 400 e^(n</em>t) gives you value of t as 21 weeks.
If u use the value of n in the equation 1840= 400 e^(n*10) it exactly satisfies the equation.
Hence, the answer is 21 weeks for sure.</p>
<p>kdines :You are using incorrect data, the correct data is
0-400
5-850
10-1520
Plotting these on the calculator gives 24 weeks as the answer
So your equation cannot satisfy the 10 week number. The actual regression equation is much more complex.</p>