Answer:
First picture: -4,913
Second picture: 20.25
Step-by-step explanation:
-17^5/-17^2 = -17^3
-17 × -17 × -17 = -4913
4.5^5/4.5^3 = 4.5^2
4.5 × 4.5 = 20.25
Do you see how I had the same whole number on the top and bottom? (17 was on top and 17 was on bottom)
The exponents were those tiny numbers you saw.
Whenever you are dividing by the same whole number (-17/-17), you can subtract exponents.
When you multiply the same whole number, you can add the exponents.
Hope this helps! Best of luck :)
Well... we know that... there are 365 days in a year, unless is a leap-year, but we'll use 365 anyway
and each day has 24hrs, each hr has 60 minutes
so. let us use those ratios
so.. multiply and simplify, cancelling out any like-units atop and bottom
notice, all we do, is use the ratios, in a way, that if we need one unit to be changed, we flip the ratio
for example, to toss away "year" unit, since in the first fraction is at the bottom, then we put it on the top on the ratio, year/year = 1, effectively cancelling the unit
Answer:
7. Is answer
Step-by-step explanation:
Because 3+4=7
Answer:
Z-scores between -0.86 and 0.86 separate the middle 61% of the distribution from the area in the tails of the standard normal distribution
Step-by-step explanation:
Normal Probability Distribution:
Problems of normal distributions can be solved using the z-score formula.
In a set with mean and standard deviation , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.
Middle 61%
Between the 50 - (61/2) = 19.5th percentile and the 50 + (61/2) = 80.5th percentile.
19.5th percentile.
Z with a pvalue of 0.195. So Z = -0.86
80.5th percentile.
Z with a pvalue of 0.805. So Z = 0.86.
Z-scores between -0.86 and 0.86 separate the middle 61% of the distribution from the area in the tails of the standard normal distribution