Based on the numbers we have we can assume that she saves 3 times more each week than the last (1*3=3, 3*3=9).
Following this trend we would multiply the amount she saved the third week ($9) by 3 to get $27 for the fourth week.
Then, we would multiply the amount she saved the fourth week ($27) by 3 to get $81 for the fifth week.
Finally, to figure out how much she saved in the 5 weeks, we need to add each value up to get 1+3+9+27+81= $121 saved in 5 weeks
Answer:
The probability of the flavor of the second cookie is always going to be dependent on the first one eaten.
Step-by-step explanation:
Since the number of the type of cookies left depends on the first cookie taken out.
This is better explained with an example:
- Probability Miguel eats a chocolate cookie is 4/10. The probability he eats a chocolate or butter cookie after that is <u>3/9</u> and <u>6/9</u> respectively. This is because there are now only 3 chocolate cookies left and still 6 butter cookies left.
- In another case, Miguel gets a butter cookie on the first try with the probability of 6/10. The cookies left are now 4 chocolate and 5 butter cookies. The probability of the next cookie being chocolate or butter is now <u>4/9</u> and <u>5/9</u> respectively.
The two scenarios give us different probabilities for the second cookie. This means that the probability of the second cookie depends on the first cookie eaten.
Hello,
if 20+1/2x>0 then |20+1/2x|=20+1/2x
thus 20+1/2x>6
==> 1/2x>6-20
==>x>2*(-14)
==>x>-28
if 20+1/2x<0 then |20+1/2 x|=-(20+1/2 x)
thus -(20+1/2 x)>6
==>20+1/2x<-6
==>1/2 x <-6-20
==>x<2 *(-26)
==>x< -52
Sol =(-infinity, -52[ ∪ ] -28, +infinty)
Answer:
9
Step-by-step explanation:
<em>Degrees of freedom</em> is the number of values in the final calculation of a statistic that are free to vary. Degrees of freedom are related to sample size and calculated by n-1 where n is the <em>sample size</em>.
The Supervisor selects 10 teddy bears as sample from 5000 teddy bears produced daily. Therefore in this situation, there are 10-1=9 degrees of freedom
<em>Greetings from Brasil...</em>
The coefficient a in a linear function (or even a modular function) implies the slope of the function line. The higher the value of a, the greater the slope of the line. the lower the value of a, the lower the slope of the line
