suppose the people have weights that are normally distributed with a mean of 177 lb and a standard deviation of 26 lb.
Find the probability that if a person is randomly selected, his weight will be greater than 174 pounds?
Assume that weights of people are normally distributed with a mean of 177 lb and a standard deviation of 26 lb.
Mean = 177
standard deviation = 26
We find z-score using given mean and standard deviation
z = 
= 
=-0.11538
Probability (z>-0.11538) = 1 - 0.4562 (use normal distribution table)
= 0.5438
P(weight will be greater than 174 lb) = 0.5438
Answer:
1000 Grams : 1 Kilogram or 1 Kilogram : 1000 Grams
Step-by-step explanation:
In the metric system the value of a kilogram is solved like:
When converting from grams to kilograms, we solve it like:
Let's take for example:
2 KG is how many grams?
We use the grams to kilograms formula like so:
Then we end up with:
g = 2000
Lets approach this problem differently
15 gallons ....you drive ......330 miles lets divide both numbers by 15 to find out how much you can go with 1 gallon
1 gallon..... you drive.....330/15=22
you car goes 22 miles per 1 gallon
if you put 20 gallons
20*22=440 miles
Answer:
$5.99 for 1.5 lbs of gumballs
Step-by-step explanation:
You want to buy One and a half pounds of gumballs for $3.99 per pound. It is 3.99 for one pound of gumballs, so the price for half a pound of gumballs is half of that price.
3.99 / 2 = 1.995
Then add the price of 1 pound
3.99 + 1.995 = 5.985
Then you can round that up to 5.99
4:6
6:9
12:18
And it goes on
