Answer:
1. 252N = ( x x )N
2. Factor =
Step-by-step explanation:
Let the starting population size for organisms A and B be represented by N.
For organism A;
Day 0: N
Day 1: 2N
Day 2: N
Day 3: N
Day 4: N
Day 5: N
Day 6: N
Day 7: N
Day 8: N
For organism B;
Day 0: N
Day 1: 2N
Day 2: N
Day 3: N
Day 4: N
Day 5: N
Day 6: N
Day 7: N
Day 8: N
1. After the eight days, organism B's population is larger than organism A's population by;
N - N = 256N - 4N
= 252N
= ( x x )N
2. Organism A's population grows by .
Answer:
They would be perpendicular because the lines intersect at a ninety degree angle. Hope this helps! Please mark brainliest!
Step-by-step explanation:
Answer: Aisha can walk 27 miles during the week if she walks a total of 6 hours.
Step-by-step explanation:
9/2=4.5
4.5*6=27
A. $74.55
because if their are 4 pairs you would do 35x4=140 the half of 140 would be 70. Then they would have to pay tax witch is 6.5% of 70 and that is 4.55 so paying for the shoes and including tax would be 74.55
Answer:
The probability that the sample proportion is within 0.03 of the population proportion is 0.468.
Step-by-step explanation:
The complete question is:
A company makes auto batteries. They claim that 84% of their LL70 batteries are good for 70 months or longer. Assume that this claim is true. Let p^ be the proportion in a random sample of 60 such batteries that are good for 70 months or more. What is the probability that this sample proportion is within 0.03 of the population proportion? Round your answer to two decimal places.
Solution:
According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.
The mean of this sampling distribution of sample proportion is:
The standard deviation of this sampling distribution of sample proportion is:

The information provided is:

As the sample size is large, i.e. <em>n</em> = 60 > 30, the Central limit theorem can be used to approximate the sampling distribution of sample proportion of LL70 batteries that are good for 70 months or longer.
Compute the probability that the sample proportion is within 0.03 of the population proportion as follows:

Thus, the probability that the sample proportion is within 0.03 of the population proportion is 0.468.