The slope of the tangent line to the curve at (8, 2) is given by the derivative
at that point. By the chain rule,

Differentiate the given parametric equations with respect to
:


Then

We have
and
when
, so the slope at the given point is
.
The normal line to the same point is perpendicular to the tangent line, so its slope is +4. Then using the point-slope formula for a line, the normal line has equation

Alternatively, we can eliminate the parameter and express
explicitly in terms of
:

Then the slope of the tangent line is

At
, the slope is again
, so the normal has slope +4, and so on.
8*3+6-2
8*3=24
24+6=30
30-2=28
8*3+6-2=28
Answer:
21378
Step-by-step explanation:
The confidence level is 90%, which gives us a Z of 1.645.
Our equation is (Z^2*p*q)/e^2
(1.645^2*p*(1-.21))/ (.01^2)
E is the error proportion, .01
Q is 1-p or the proportion
P is the pop you need
With this, we can solve
and get p = 21377.5975 and rounded to 21378
Answer:
Length = 64 cm , width =16 cm
Step-by-step explanation:
Given Perimeter = 160
Let width = x
Length = 4x
Hence perimeter =2 (length) +2 ( width)
160 = 2(4x)+2(x)
160 = 8x + 2x
160 = 10x
160/10 =x
16 = x
Hence width = 16 cm
Put the value of x in 4x
Length= 4(16)
Length =64 cm
Hence length = 64 cm, width =16 cm
Answer:
10.03% probability of getting a cup weighing more than 8.64oz
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:

What is the probability of getting a cup weighing more than 8.64oz
This is the 1 subtracted by the pvalue of Z when X = 8.64. So

has a pvalue of 0.8997
1 - 0.8997 = 0.1003
10.03% probability of getting a cup weighing more than 8.64oz