Answer:
√185 units.
Step-by-step explanation:
To find the distance between two points, A (-2, -3) and B (6, 8), you can use the distance formula:
Distance = √[(x₂ - x₁)² + (y₂ - y₁)²]
In this formula:
(x₁, y₁) represents the coordinates of point A (-2, -3).
(x₂, y₂) represents the coordinates of point B (6, 8).
Now, plug the values into the formula:
Distance = √[(6 - (-2))² + (8 - (-3))²]
Distance = √[(6 + 2)² + (8 + 3)²]
Distance = √[(8)² + (11)²]
Distance = √[64 + 121]
Distance = √185
So, the distance between points A (-2, -3) and B (6, 8) is √185 units.
Answer:
d7-dx=(20x|x-3|+40)x x-3 (|x-3+2)x| x-3|
Step-by-step explanation:
Hope this helps :D
Answer:
412020
Step-by-step explanation:
It is given that,
6.3% of the 6,540,000 Indiana residents were listed as Hispanic or Latino in 2012. We need to find the no of people for this.
Using the concept of percentage as follows :
Hence, there would be 412020 people.
x=
Answer:
x=-60
Step-by-step explanation:
You solve for x by simplifying both sides of the equation, then isolating the variable.
Answer:
1.60×10^-12 m^2
Step-by-step explanation:
The prefix μ stands for "micro-", which means 10^-6. So, 1 micro-meter is ...
1 μm = 10^-6 m
A square micrometer is then ...
(1 μm)^2 = (10^-6 m)^2 = 10^-12 m^2
1.6 of them is ...
1.6 μm^2 = 1.6×10^-12 m^2
b. Answer the questions above for a sample of size n=64
c.find the probability that the average diameter of pistonrings from a sample size 16 is more than 11.95cm
d. For which of the above two random saples is Xbar morelikely to be within .01cm of 12cm? Explain.
Using the normal distribution and the central limit theorem, it is found that:
a) The sampling distribution is approximately normal,centered at 12 cm and with a standard deviation of 0.01 cm.
b) The sampling distribution is approximately normal,centered at 12 cm and with a standard deviation of 0.005 cm.
c) 100% probability that the average diameter of piston rings from a sample size 16 is more than 11.95 cm.
d) Due to the lower standard error, the sample of 64 is more likely to be within 0.01 cm of 12 cm.
In a normal distribution with mean and standard deviation, the z-score of a measure X is given by:
In this problem:
Item a:
Sample of 16, thus and
The sampling distribution is approximately normal,centered at 12 cm and with a standard deviation of 0.01 cm.
Item b:
Sample of 64, thus and
The sampling distribution is approximately normal,centered at 12 cm and with a standard deviation of 0.005 cm.
Item c:
This probability is 1 subtracted by the p-value of Z when X = 11.95, thus:
By the Central Limit Theorem:
has a p-value of 0.
1 - 0 = 1.
100% probability that the average diameter of piston rings from a sample size 16 is more than 11.95 cm.
Item d:
Due to the lower standard error, the sample of 64 is more likely to be within 0.01 cm of 12 cm.
A similar problem is given at brainly.com/question/24663213
Answer:
The answer is below
Step-by-step explanation:
Given that:
mean value (μ) = 12 cm and standard deviation (σ) = 0.04 cm
a) Since a random sample (n) of 16 rings is taken, therefore the mean (μx) ans standard deviation (σx) of the sample mean Xbar is given by:
The sampling distribution of Xbar is centered about 12 cm and the standard deviation of the Xbar distribution is 0.01 cm
b) Since a random sample (n) of 64 rings is taken, therefore the mean (μx) ans standard deviation (σx) of the sample mean Xbar is given by:
The sampling distribution of Xbar is centered about 12 cm and the standard deviation of the Xbar distribution is 0.005 cm
c) n = 16 and the raw score (x) = 11.95 cm
The z score equation is given by:
P(x > 11.95 cm) = P(z > -5) = 1 - P(z < -5) = 1 - 0.000001 ≅ 1 ≅ 100%
d) for n = 64, the standard deviation is 0.01 cm, therefore it is more likely to be within .01cm of 12cm