Answer:
You can do this by rolling dice 4 times
Step-by-step explanation:
If you roll a fair dice 4 times and record the findings and their orders, you can generate 6^4= 1296 possible outcomes. You can pick 1-1000 as numbers and then re-roll all the dice if the number generate 1001-1296
To translate the dice result into a number you have to multiply the dice result as following:
1st roll multiplied by 6^0 = 1
2nd roll multiplied by 6^1 = 6
3rd roll multiplied by 6^2= 36
4th roll multiplied by 6^3= 216
Let's say you roll 1, 2, 3, 4
The number generated will be: 1*1 + 2 *6 + 3 *36 + 4 *216 = 985
I believe its $6.95 but i did that in my head so i might be wrong
16 pieces may be cut. This is because we need to divide 36 by 2 and 1/4 to find how many pieces hat can be cut. First, we need to change everything into a fraction (or improper fraction). 2 and 1/4 = 9/4 (if you need help trying to find out how to get this, just ask). Then, since we are doing division, we flip the 9/4 around to get 4/9. 36 times (it's not dividing anymore since we flipped the 9/4) 4/9 = 16 pieces. I hope this helps! :D
Answer:
The error E = ± 4.04 %
Step-by-step explanation:
Solution:-
- The sample data is used to estimate the population proportion ( p ).
- The success p^ = success percentage = 40 %
- The confidence interval CI = 98%
- The sample size n = 800
- The margin of error E:
- The margin of error "E" for estimation of population proportion ( p ) is given by:
Where, Z-critical value is defined by the significance level:
P ( Z < Z-critical ) = α / 2
Where, α : Significance level
α = 1 - CI
P ( Z < Z-critical ) = (1 - 0.98) / 2
P ( Z < Z-critical ) = 0.01
Z-critical = 2.33
- The error E of estimation is:
- The error E = ± 4.04 %
