So probobillity is total sucsesses over total possible or TS/TP so
11/15 so the probobility is 11/15 or 0.73
Answer: The most appropriate measure of center is the median.
Step-by-step explanation:
- The measure of center generally represented by 1) mean 2) median 3) mode.
- Mean is the best measure to represent the center of the data but when data have outliers it gets affected badly.
- In that case, we use the Median as the best measure of center.
The given data is 12 10,9,68,12 .
As it can be seen that, the data have extreme value 68 ( called outliers).
In this case, we will use the Median as the best measure of center.
So, the most appropriate measure of center is the median.
Answer:
See Below
Step-by-step explanation:
3 out of 5 of the 60 total blocks are red, that means every 3 of 5 random we take would be RED.
That is 3/5ths of 60 are red. We multiply and figure out.
So we can say there are 36 red blocks from the total 60 Blocks.
Briana needs to make a design that uses 32 RED BLOCKS. <em>Are there enough??</em>
<em />
<em>Yes of course, because 36 > 32</em>
<em />
<em>So, it is reasonable for Briana to think there are enough blocks to make her design.</em>
The answer is B
0*8 = 0
1*8 = 8
2*8 = 16
3*8= 24
Answer:
$321562.50
Step-by-step explanation:
Exponential growth can be modeled by the formula , with y representing the final value, a being the starting value, r being the growth rate, and x being the number of time intervals passed.
To figure out the rate, we must use the values given from the months we have data of. Our starting value is 60,000 , ending value is 105,000 , and given that monthly sales are given, we can assume that sales grew exponentially each month. There were 4 years, or 48 months, that the store had to grow. Our formula is thus
To solve for r, we can first divide both sides by 60,000 , then put each side to the power of 1/48, resulting in
Since we know our rate, and there are 8 years/96 months between January 2005 and January 2013, we can make our starting value 105,000 , plug (1.75)^(1/48) for r and 96 for x in , and go from there.
Our final value is then
. We were able to turn 1.75^(1/48)^(96) into 1.75² using the exponent rule stating that x^y^z = x^(y*z)