Answer:
c. Not significant at .055
Step-by-step explanation:
When a pair of dice is rolled, we have 6²=36 possible outcomes. Only 2 of these outcomes have a total score of 11:
- When the first dice is 5 and the second is 6.
- When the first dice is 6 and the second is 5.
Then, we can calculate the probability of getting 11 as the quotient between the successs outcomes and the total outcomes.
Then, the probability of getting 11 is:

This probability is not equal or less than 0.05, so it is not significant at 0.055.
To solve this, we are going to use the compound interest formula:

where

is the final amount after

years

is the initial investment

is the interest rate in decimal form

is the number of times the interest is compounded per year
For the first 4 years we know that:

,

,

, and since the problem is not specifying how often the interest is communed, we are going to assume it is compounded annually; therefore,

. Lest replace those values in our formula:




Now, for the next 6 years the intial investment will be the final amount from our previous step, so

. We also know that:

,

, and

. Lets replace those values in our formula one more time:




We can conclude that Collin will have <span>£3691.41 in his account after 10 years.</span>
Answer:
see below
Explanation:
There are many ways of writing a verbal expression for the given algebraic expression.
Some examples are:
a number c plus twice a number da number c added to twice a number dc added to the product of 2 and d the product of 2 and d increased by c twice a number d increased by cthe sum of c and twice d
Answer:
Power analysis
Step-by-step explanation:
Power analysis is a significant part of test structure. It permits us to decide the example size required to recognize an impact of a given size with a given level of certainty. On the other hand, it permits us to decide the likelihood of recognizing an impact of a given size with a given degree of certainty, under example size requirements. On the off chance that the likelihood is unsuitably low, we would be shrewd to adjust or forsake the analysis.
The principle reason underlying power analysis is to assist the analyst with determining the littlest example size that is appropriate to recognize the impact of a given test at the ideal degree of hugeness.