Answer:
Log300=2.4771
Log3.26=0.5132
Log10000=4
Log20=1.3010
Step-by-step explanation:
log300=2.4771
Log3.26=0.5132
Log10000=4
Log20=1.3010
Answer:
680 Bacteria
Step-by-step explanation:
378 is evenly divisible by 126, which is equal to 3.
The first 126 minutes, the 85 bacteria will double to 170 bacteria.
The second 126 minutes (252 minutes total), the 170 bacteria will double to 340 bacteria.
The final 126 minutes (378 minutes total), the 340 bacteria will double to 680 bacteria total.
If this helped, a brainliest would be greatly appreciated!
Answer:
3?
Step-by-step explanation:
3 is the slope intercept I believe
Answer: A: 0.0031
Step-by-step explanation:
Given : In a study of wait times at an amusement park, the most popular roller coaster has a mean wait time of 17.4 minutes with a standard deviation of 5.2 minutes.
i.e.
and 
We assume that the wait times are normally distributed.
samples size : n= 30
Let x denotes the sample mean wait time.
Then, the probability that the mean wait time is greater than 20 minutes will be :
![P(x>20)=1-P(x\leq20)\\\\=1-P(\dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}\leq\dfrac{20-17.4}{\dfrac{5.2}{\sqrt{30}}})\\\\=1-P(z\leq2.74)\ \ [\because\ z=\dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}]\\\\=1-0.9969\ \ [\text{ By z table}]\\\\=0.0031](https://tex.z-dn.net/?f=P%28x%3E20%29%3D1-P%28x%5Cleq20%29%5C%5C%5C%5C%3D1-P%28%5Cdfrac%7Bx-%5Cmu%7D%7B%5Cdfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%7D%5Cleq%5Cdfrac%7B20-17.4%7D%7B%5Cdfrac%7B5.2%7D%7B%5Csqrt%7B30%7D%7D%7D%29%5C%5C%5C%5C%3D1-P%28z%5Cleq2.74%29%5C%20%5C%20%5B%5Cbecause%5C%20z%3D%5Cdfrac%7Bx-%5Cmu%7D%7B%5Cdfrac%7B%5Csigma%7D%7B%5Csqrt%7Bn%7D%7D%7D%5D%5C%5C%5C%5C%3D1-0.9969%5C%20%5C%20%5B%5Ctext%7B%20By%20z%20table%7D%5D%5C%5C%5C%5C%3D0.0031)
Hence, the probability that the mean wait time is greater than 20 minutes.= 0.0031
Thus , the correct answer is A: 0.0031 .
Answer:
480 pennies dated after 2000.
Step-by-step explanation:
1. Pennies dated before 1980 (x) - 25%,
All pennies (1,200) - 100%.
Then

2. Pennies dated from 1980 to 2000 (y) - 35%,
All pennies (1,200) - 100%.
Then

3. Rest pennies are dated after 2000, then
