Calculate the Rate of Return on an initial investment of $6,000 valued at $6,500.

Mathematics

2 answers:

bezimeni [28]2 years ago

8 0

Answer:

8.3%

Step-by-step explanation:

Tju [1.3M]2 years ago

7 0

Answer:

8.3%

Step-by-step explanation:

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A video game has the following formula: For every 1,333 in attack power, you gain 3 levels. You get one bonus star per every 38

aleksley [76]

Answer:

Rounded to a whole number, the player has 12 bonus stars.

Step-by-step explanation:

Since the video game establishes that for every 1,333 points of attack power 3 levels are gained, and that the player has a total of 0.21 million attack points, to determine the number of levels that player has it is necessary to perform the following calculation :

0.21 million = 210,000

210,000 / 1,333 x 3 = Levels

472.6 = Levels

Now, every 38 levels, the game awards a bonus star. To determine the amount of bonus stars that the player has, the following division must be made:

472.6 / 38 = X

12.43 = X

Thus, rounded to a whole number, the player has 12 bonus stars.

7 0

2 years ago

How long does Ashley work on her sculpture?

Alex73 [517]

5 hours and 40 minutes. 3+2= 5 which make it 5 hours and then 2/3= 4/6= 40/60 which makes it 40 minutes

4 0

2 years ago

The lengths of bolts in a batch are distributed normally with a mean of 3 cm and a standard

ValentinkaMS [17]

Answer:

0.8413 = 84.13% probability that a bolt has a length greater than 2.96 cm.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

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 p-value, we get the probability that the value of the measure is greater than X.

Mean of 3 cm and a standard deviation of 0.04 cm.

This means that $\mu = 3, \sigma = 0.04$