Help the math of mine plz
Answer:
He will earn $69000
Step-by-step explanation:
Think about it. The illuminati is real and 420 is a number. Its quite easy math. Now please go and **** yourself
Answer:
What about
Step-by-step explanation:
SUS :0000
jp I'm pretty sure its asa. forgive me if im wrong.
Answer:
Please find the answer in the explanation
Step-by-step explanation:
RULER
measurements taken by ruler can be limited due to absolute errors, zero error and uncertainties.
1.) If the end of the ruler is worn out giving rise to a zero error
2.) The calibration of the ruler may give rise to another systematic error if the makings are incorrect.
3.) If the object to be measured is not on the same level as graduated surface of the ruler, the angle at which the scale is viewed will affect the result. This is known as parallax error.
SCALE
Systematic error can occur in a scale when the scale is wrongly calibrated.
Also, reading a scale from different angles introduces a variable parallax error.
random uncertainty could be a parallax error caused by taking readings from different angles. This can be reduced by the use of a mirror behind the scale and viewing normally.
Answer:
Step-by-step explanation:
Hello!
You have the difference between two sample means. Remember the sample means are variables with certain distribution, let's say, in this case, both sample means have a normal distribution. X[bar] = sample mean
X₁[bar]~N(μ₁;σ₁²/n₁)
X₂[bar]~N(μ₂;σ₂²/n₂)
Then the difference between these two variables results in a third variable that will also have a normal distribution:
X₁[bar]-X₂[bar]~N(μ₁-μ₂;σ₁²/n₁+σ₂²/n₂)
These are some of the properties of the normal distribution
Centered in μ
Symmetrical
Bell-shaped
[μ - σ; μ + σ]= 68% of the distribution
[μ - 2σ; μ+ 2σ]= 95% of the distribution
[μ - 3σ; μ+ 3σ]= 99.7% of the distribution
Check attachment.
Taking these properties into account, if you where to draw the results of the 100 trials, where μ₁-μ₂=0 would be its center and the standard deviation of the difference is 1.78.
68% of the information will be between (μ₁-μ₂) ± [(σ₁/√n₁)+(σ₂/√n₂)], this is 0 ± 1.78
I hope it helps!
