The rule of 72 is used to determine how long it will take an investment to ___. For an Investment of $5,000 earning 7% annually,
1 answer:
Answer:
The rule of 72 is used to determine how long it will take an investment to Double
For an Investment of $5,000 earning 7% annually, this will take about ten years
Step-by-step explanation:
The rule of 72 says that to find the number of years required to double your money at a given interest rate, you just divide 72 by the interest rate
Example:
If you want to know how long it will take to double your money at 9% interest, divide 72 by 9 you will get 8 years
The formula of the rule of 72 is Y =
Let us complete the missing
The rule of 72 is used to determine how long it will take an investment to Double
The missing word is "Double"
∵ The investment is $5,000
∵ The annual interest is 7%
- By using the rule of 72
∵ Y =
∵ r = 7
∴ Y =
∴ Y = 10.29
- Round it to the nearest year
∴ Y ≅ 10 years
For an Investment of $5,000 earning 7% annually, this will take about ten years
The missing word is "ten"
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Answer:
0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled
Step-by-step explanation:
To solve this question, we have to understand the normal probability distribution and the central limit theorem.
Normal probability distribution:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Central limit theorem:
The Central Limit Theorem estabilishes that, for a random variable X, with mean and standard deviation
, a large sample size can be approximated to a normal distribution with mean
and standard deviation
In this problem, we have that:
What is the probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled?
This is the pvalue of Z when X = 159+1 = 160 subtracted by the pvalue of Z when X = 159-1 = 158. So
X = 160
By the Central Limit Theorem
has a pvalue of 0.7257
X = 150
has a pvalue of 0.2743
0.7257 - 0.2743 = 0.4514
0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled