The owner of a small store buys coats for $60.00 each. she sells the coats for $ 72.00 each. What percent of the purchase pric
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Answer:
1) Kinetic energy of the truck 1 is 600,000 joules.
Kinetic energy of the truck 2 is 1,837,500 joules.
2 a)Potential energy of truck 1 is 646,800 Joules.
b) Energy lose by the truck 1 just got converted into heat and sound energy during the collision.
Step-by-step explanation:
Mass of the truck 1 and truck 2,m = 3000 kg
Velocity of the truck 1, = = 20 m./s
Velocity of the truck 2, = 35 m./s
1. Kinetic energy of the truck 1:
Kinetic energy of the truck 2:
2.a) Energy loose by the truck 1:
Initial height of the truck on the hill = 22 m
At that height potential energy will be maximum:
Potential energy of truck 1 at that height =
b) Energy lose by the truck 1 just got converted into heat and sound energy during the collision.
Answer:
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
Let X the random variable that represent the number of children per fammili of a population, and for this case we know the following info:
Where and
We select a sample of n =64 >30 and we can apply the central limit theorem. From the central limit theorem we know that the distribution for the sample mean is given by:
And for this case the standard error would be: