We initiate with:
|X+6|- 12 < 13
We can then add 12 to both sides:
|X+6| < 13 + 12 = 25
|X+6| < 25
This leads us to form two separate equations:
if x > -6, consequently |X+6| = x + 6
(x + 6) < 25
x < 25 - 6
x < 19
If x < -6, so |X+6| = -(x + 6)
-(x + 6) < 25
-x < 31
x > -31
From these equations, we find:
-31 < x < 19
A meticulous method to create this would involve partitioning the spinner into 100 segments and coloring 5 of those. This results in a probability of 5/100 = 0.05 = 5%, indicating that each of the 5 segments has a 5% likelihood of being landed upon.
A more efficient approach is to split it into 20 segments instead. This works because simplifying 5/100 yields 1/20 (by dividing both the numerator and denominator by 5). Thus, instead of coloring in 5 segments, Mark should just color 1. If you check this with a calculator, you’ll see that 1/20 = 0.05 = 5% too.
The second choice is more efficient, but a spinner with 20 pieces is still somewhat cumbersome. It may be more practical for Mark to draw random numbers from a hat or use a computer to generate random numbers.
Answer:
The distance equals 816 km.
Step-by-step explanation:
5/6 multiplied by 4/1 equals 20/6.
Dividing 20/6 by 2 results in 3 1/3.
This triangle is both acute and equilateral.
It consists of three angles that are all acute, as well as having equal sides and angles.
Answer:
The recorded temperature is -0.675ºC.
Detailed explanation:
To tackle problems involving normally distributed samples, the z-score formula can be utilized.
In a distribution with mean
and standard deviation
, the z-score for a specific measure X is calculated as follows:

The Z-score indicates how many standard deviations a given measure deviates from the mean. Once the Z-score is determined, we refer to the z-score table to obtain the corresponding p-value. This p-value represents the likelihood that the measure's value is less than X, thereby indicating the percentile of X. By taking 1 minus the p-value, we find the probability that the measure's value exceeds X.
For this scenario, we know that:
Assuming the thermometer readings follow a normal distribution with a mean of 0◦ and a standard deviation of 1.00◦C, this leads us to 
We need to determine P25, which is the 25th percentile.
This represents the value of X corresponding to Z with a p-value of 0.25, thus we utilize
, applicable between
and
.



The recorded temperature is -0.675ºC.