Answer:
2 x 5
Step-by-step explanation:
in prime factorization, we divide until it gets to 1. In the case of 10 divide by 2 which will give you 5 divide by 5. Thats how I got 2 x 5
Answer:
Step-by-step explanation:
Part 1
(a) How many read the Internet news or local paper but not both?
There are 25
students who read the Internet news or local paper but not both.
Part 2
(b) How many read the Internet news and the local paper but not the Campus Observer?
There are 3
students who read the Internet news and the local paper but not the Campus Observer.
Part 3
(c) How many read the Internet news or the Campus Observer or both?
There are 65
students who read the Internet news or the Campus Observer.
Answer:
Step-by-step explanation:
<u>Elasticity Demand</u>
- The flexibility of interest is a significant minor departure from the idea of interest. Request can be delegated as versatile, inelastic, or unitary.
- Flexible interest is one in which the adjustment of the amount requested because of an adjustment of cost is huge. An inelastic interest is one in which the adjustment of the amount requested because of an adjustment of cost is little.
- The equation for processing versatility of interest is:
(Q1 - Q2)/(Q1 + Q2)
(P1 - P2)/(P1 + P2)
- In the event that the recipe makes an outright worth more prominent than 1, the interest is flexible. At the end of the day, the amount changes quicker than the cost. On the off chance that the worth is under 1, the request is inelastic. All in all, the amount changes more slowly than the cost. In the event that the number is equivalent to 1, the flexibility of interest is unitary. All in all, the amount changes at a similar rate as the cost.
- An illustration of items with a flexible interest is purchaser durables. These are things that are bought inconsistently, similar to a clothes washer or an auto, and can be deferred assuming the cost rises. For instance, vehicle refunds have been extremely fruitful in expanding car deals by diminishing costs.
#SPJ10
Answer:
about 82%
Step-by-step explanation:
The distribution of sample means has a standard deviation that is the pipe standard deviation divided by the square root of the sample size. Thus, the standard deviation of the sample mean is 0.003/√9 = 0.001.
Then the limits on sample mean are 1.010 - 1×0.001 = 1.009 and 1.010 +2×0.001 = 1.012. The proportion of the normal distribution that lies between -1 and +2 standard deviations is about 81.9%.
