00:02
We have a mean of 70 and a standard deviation of 10.
00:08
We're going to find the probability that x is less than 55, the probability that x is between 48 and 72, and the probability that x is greater than 68.
00:23
So we'll take the probability that z is less than 55 minus 70 divided by 10, which gives us a z score of negative 1 .5, which has a probability of 0 .0668.
00:37
Here we'll do 48 minus 70 divided by 10 is less than z, which is less than 72 minus 70 divided by 10.
00:46
That's going to put z in between negative 2 .2 and 0 .2, which means we're going to take 0 .5793 and subtract 0 .039 to get our probability of 0 .5609 to get our probability of 0 .560.
01:04
654.
01:08
Oops, i'm running out of space here.
01:10
There we go.
01:11
Four.
01:14
Okay.
01:15
For part c, we'll do 1 minus the probability that z is less than 68 minus 70 divided by 10.
01:22
That's going to give us one minus the probability that z is less than negative 0 .2, which is a probability of 0 .5793.
01:32
For 9, our mean is 15, and our standard deviation is 7.
01:38
And we're going to find the percent of time that a person is more than 20 minutes late to school.
01:45
So the probability that x is greater than 20 means that we're going to do one minus the probability that z is less than 20 minus 15 divided by 7.
01:55
So that's one minus the probability that z is less than .71, which gives us 0 .2389.
02:01
For part b, if we want to know the percent of time that a person is on time, that means they are zero minutes late or less.
02:12
So the probability that z is less than 0 minus 15 divided by 7 is the probability that z is less than negative 2 .14, which is 0 .162.
02:25
For number 10, we have a mean of 12, so a mean of 12, and a standard deviation of 3.
02:36
Wands travel time is 14 minutes to determine the z score.
02:39
So z would be 14 minus 12 divided by 3, and that would be 0 .67.
02:50
If we have a z score of negative 1 .45, what would the travel time be? so we would take x bar minus 12 divided by 13 and solve it for x bar.
03:01
And when we do that, we're going to get 7 .65.
03:08
Number 11.
03:10
Determine whether the underlying value is a parameter or a statistic and explain your reasoning.
03:16
The mean height of an nba basketball player is 79 inches.
03:21
This would be a parameter because it represents the population of nba basketball players.
03:29
In 2016 presidential election, only 56 % of registered voters actually voted.
03:36
Again, if we're looking at the population of registered voters, this is also going to be a parameter.
03:45
Part c, the average weight of an srs of 12, 6 -month -old springer spaniel puppies was 8 .2.
03:51
Well, srs stands for a simple random sample, so that makes this a statistic...