Answer:
The answer is explained below
Step-by-step explanation:
Given that:
mean (μ) = 7 and standard deviation (σ) = 1.5.
The z score is used in statistic used to measure the number of standard deviation by which the raw score is above or below the mean value. It is given by:

To find the Probability that x < 8.8, we first find the z score using:

From the z tables, P(x < 8.8) = P(z < 1.2) = 0.8849 = 88.49%
A. The point estimate of μ1 − μ2 is calculated using the value of x1 - x2, therefore:
μ1 − μ2 = x1 – x2 =
7.82 – 5.99
μ1 − μ2 = 1.83
B. The formula for
confidence interval is given as:
Confidence interval
= (x1 –x2) ± z σ
where z is a value
taken from the standard distribution tables at 99% confidence interval, z =
2.58
and σ is calculated
using the formula:
σ = sqrt [(σ1^2 /
n1) + (σ2^2 / n2)]
σ = sqrt [(2.35^2 /
18) + (3.17^2 / 15)]
σ = 0.988297
Going back to the
confidence interval:
Confidence interval
= 1.83 ± (2.58) (0.988297)
Confidence interval
= 1.83 ± 2.55
Confidence interval
= -0.72, 4.38
Answer:
Step 1: Distribute
to
and 
Step 2: Subtract from both sides of the equation 
Step 3: Add to both sides of the equation
Step 4: Divide both sides of the equation by 
Step-by-step explanation:
Step 1: Apply the Distributive Property. Then you must distribute
to
and 
Then:

Step 2: You must apply the Subtraction property of Equality and subtract
from both sides of the equation. Then:

Step 3: You must apply the Addition property of Equality and add
to both sides of the equation. Then:

Step 4: You must apply the Division property of Equality and divide both sides by
. Then:

S=θr
10.91=θ5
10.91/5=θ
therefore
θpie/180= your answer in radians
Answer:
wheres the graph
Step-by-step explanation:
it's not theree