15
1230.5 ounces is more precise than 1230 ounces because it includes decimals for greater accuracy. The other options (1000 ounces, 1236 ounces, 1500 ounces) are less precise because they do not include decimal values.
First let's arrange them by weight. (they already were, so I'm just relisting them in an easy to read format) 5 lb 7 oz 6 lb 4 oz 6 lb 12 oz 7 lb 2 oz The median is the middle value, or the average of the two middle values. In this case, since there's an even number of babies, the median will have to be the average of the 2 middle values, 6 lb 4 oz and 6 lb 12 oz. Since the pound values are the same, we can ignore it and all the extra ounces they add and focus on the ounces. The average of 4 and 12 is (4+12)/2=16/2=8, so the median weight was 6 lb 8 oz.
Plantation agriculture require that all species except 1 or 2 are eliminated. Biodiversity is a concept that values the larger number of species compared to the total number of species. Plantation agriculture devalues biodiversity almost to existence.
Increasing the size of the mantissa in a floating-point number increases the precision of the number, allowing for more accurate representation of fractional values. This can help reduce rounding errors and improve the overall accuracy of calculations involving very small or very large numbers.
No, the volume of the string does not affect buoyancy values. Buoyancy is determined by the density of the object compared to the density of the fluid it is immersed in, regardless of the volume of the object.
For "avoirdupois" pounds and ounces, the correct value is 16 and 15 is most nearly accurate. For "troy" pounds and ounces, the correct value is 12 and 10 is most nearly accurate.
1,755
5290
5,290
Inequality
The difference in measurements was approx. 0,6 %.
12
Ratio or proportion.
is called an inequality
They are both the same but 2.5 is more accurate because the zeros after 2.5 have no values
The percentage error is how accurate your experimental values compared to the accepted value. The equation is: [(experimental value - accepted value) / accepted value] x 100
compared