Answer:
The description according to the framework in question is illustrated in the portion below.
Step-by-step explanation:
- These same 2 histograms are quite dissimilar or separate, for City A, each information collected has always been largely focused at 400, although for City B, these same results are interpreted at 400.
- The price increases including its households throughout City B have quite a higher SD than those of the exchange rates throughout City A, also because documentation from City A generate a lot of price levels close to the middle of the bar chart, as well as the wages throughout City B, require a high amount of rates farther from the midpoint of the
Assuming you means 6.5% tax of a $42 purchase
0.065*42=2.73
tax is $2.73
100 barrels * 50 liters = 5000 liters of water. 1 kiloliter = 1000 liters, so there are 5 kilo liters
Y=2x-2
The line crosses through the y-axis at -2 and the slope is 2/1 or 2.
Answer:
2
Step-by-step explanation:
Experimental probability : (Number of times event occur / total number of trials)
Total Number of trials = (3 + 4 + 6 + 3) = 16
Experimental probability :
For 1: P(1) :
3/16
For 2 : P(2) :
4/16 = 1/4
For 3: P(3)
6 /16 = 3/8
For 4 : P(4)
3 / 16
Theoretical probability :
The Theoretical probability of 1, 2, 3 and 4 are the same ;
Theoretical probability =
(Required outcome / Total possible outcomes)
For each of 1 - 4
Theoretical probability = 1 /4
Experimental probability of P(2) = 1/ 4 and is Hence, the same as the Theoretical probability
