300000 all you had to do was round the number down after the 1 significant figure
you round down with
1,2,3,4
and round up with
5,6,7,8,9
so if it asked for 78453
to 2 significant figures you count the numbers and round after that
so 78|453 and since 4 is the next number and it is less that 5 we round down which means it becomes 78000 with is lower than 78453
but if we had 0.0247
and it asked for this number to 2 significant figures all you need to do is count the SIGNIFICANT figures significant means anything with value so that is 1,2,3,4,5,6,7,8,9,10.... 0 has no value therefore we ignore 0 and start counting at the first figure larger than 0
if we go back to 0.0247 that would be the 2 so 2 significant figure of 0.0247 would equal
0.024|7
7 is larger than 5 so we round up to
0.025
tadaa i hope that helped
Ask your parents about it if they didn't help you can copy mine,
Well I asked my parents about they told me that around their age there weren't lots of facilities they even rarely saw transportation facilities like cars and bikes there were no proper internet facilities e.t.c
When I said them what were the changes in the last 25 years they said there were drastic changes including social, economic, science, transportation, health e.t.c and many more
Pretty simple, really - all you have to do us divide 509 by 14 before you're left with an answer of <span>36.35. Now, the number '36' is closer to 0 than 100, so we'll round down instead of up, therefore the number of floors to the building is 36! </span>
Answer:
Normal distribution is a Continuous distribution.
Step-by-step explanation:
Normal Distribution:
The following information is true about normal distribution.
- Theoretically, the mean, median, and mode are the same.
- Its parameters are the mean, mu, and standard deviation, sigma.
- About two thirds of the observations fall within plus or minus 1 standard deviation from the mean.
But normal distribution is not a discrete distribution. It is a continuous distribution.
- The normal distribution is a continuous probability distribution. This has several implications for probability.
- The probability that a normal random variable X equals any particular value is 0.
