Answer: 9
Step-by-step explanation:
Since x=2 that means there should be 2 3s being multiplied since it’s 3 to the second power. So 3x3 which equals 9. If this answer helped please mark it brainliest!
Answer:
See below
Step-by-step explanation:
<u>Check One Sample Z-Interval Conditions</u>
Simple Random Sample? √
np≥10? √
n(1-p)≥10? √
<u>One-Sample Z-Interval Information</u>
- Formula -->

- Sample Proportion -->

- Critical Value -->
(for a 85% confidence level) - Sample Size -->

- Margin of Error (MOE) -->

<u>Problem 1</u>
As stated previously, Anas should use the critical value
to construct the 85% confidence interval
<u>Problem 2</u>
Given our formula for the margin of error (MOE), the value is 
<u>Problem 3</u>
The 85% confidence interval would be
, which means that we are 85% confident that the true proportion of people that clicked on the advertisement is between 0.1786 (~45 people) and 0.2534 (~63 people)
<u>Problem 4</u>
Increasing the sample size to
is going to decrease the margin of error because it is a closer representation of the population, but, alas, requires more time, energy, and resources to observe.
Answer:
yes
Step-by-step explanation:
the FIRST derivative of a function tells us the slope of a tangent line to the curve at any point. if is positive, then the curve must be increasing. If is negative, then the curve must be decreasing.
the SECOND derivative gives us the slope of the slope function (in other words how fast the slope of the original function changes, and if it is accelerating up - positive - or if it is avengers down - negative).
so, the first derivative would be fully sufficient to get the answer of if the slope of the function at that point is positive or negative.
but because it is only a "if" condition and not a "if and only if" condition, the statement is still true.
there are enough cases, where the slope is positive, but the second derivative is not > 0 (usually = 0).
but if even the second derivative is positive, then, yes, the slope of the original function must be positive too.
To calculate for the z-score we use the formula:
z=(x-μ)/σ
thus the answers to questions will be as follows:
a]<span>Carmen purchased a 16-ounce can of Nut Munchies and counted 100 peanuts. What is the z-score for this can of peanuts?
</span>x=100
μ=96.3
σ=2.4
z=(100-96.3)/2.4
z=1.542
b]<span>Angelo purchased a 20-ounce can of Gone Nuts and counted 116 peanuts. What is the z-score for this can of peanuts?
x=116
</span>μ=112.6
σ=2.8
<span>thus
z=(116-112.6)/2.8
z=1.214
c]</span><span>Carmen declares that purchasing her can of Nut Munchies with 100 peanuts is less likely than Angelo purchasing a can of Gone Nuts with 116 peanuts. Is Carmen’s statement correct? Use the definition of a z-score to support or refute Carmen’s claim.
This is very correct because because by definition of z-score, Munchies with 100 peanuts is 1.542 away from the mean as compared to Munchies with 116 peanuts which is 1.214 standard deviations from the mean hence the higher likelihood. </span>
Answer:
The answer to your question is: 
Step-by-step explanation:
10
+ 5 
Simplify like terms

