Answer:
The square root of a negative number is undefined, because anything times itself will give a positive (or zero) result. Note: Zero has only one square root (itself). Zero is considered neither positive nor negative
Answer:
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How much pizza will each person get?
Answer:
1.75 or 1 3/4 pieces of pizza per person
Step-by-step explanation:
Hi,
Divide 4 by 7 and you get...
1 3/4 or 1.75
I hope this helps :)
Answer:
The Radius?
.......... ....
Answer:
C. Radius
Step-by-step explanation:
Have a good day!
Step-by-step explanation:
s = σ / √n
s = 20 / √100
s = 2
Using the formula for standard error, we calculate the expected error between the sample mean and the population mean in the scenario provided. The answer is 2.
The standard error of the mean (SEM) can be calculated using the formula SEM = sigma/ sqrt(n), where 'sigma' is the standard deviation of the population and 'n' is the sample size. In this case, sigma (σ) is 20 and the sample size (n) is 100. So, SEM = 20/sqrt(100) = 20/10 = 2.
The standard error quantifies the average amount of error between the sample mean and the population mean. Therefore, one can expect, on average, a 2 score difference between the sample mean and the population mean.
#SPJ3
Answer:
162 Joules
Step-by-step explanation:
Remember, the equation for the kinetic energy of an object is:
where m is the mass of the object in kg (kilograms), v is the velocity of the object in m/s (meters per second), and K is the kinetic energy of the object in J (joules).
We are given that the cat's mass is 4 kg. We will use this for m. We are also given that the cat is moving at 9 m/s. This would be it's speed. We can use this for velocity, or v. Plugging in we get:
So K, or the kinetic energy, would be 162J.
I hope you find my answer and explanation to be helpful. Happy studying.
(B) What is the least squares regression line
(C) According to the model in (b), for every increase of $1000 in income, the ulcer rate (per 100 population) will go down by _________ points.
Answer:
B) y = -9.98×10⁻⁵ x + 13.95
C) 0.1
Step-by-step explanation:
Using Excel, the least squares regression line, rounded to two decimal places, is y = -9.98×10⁻⁵ x + 13.95.
The slope is -9.98×10⁻⁵, so if x increases by 1000, then y changes by -9.98×10⁻² = -0.0998. Rounded to one decimal place, the ulcer rate per 100 population will go down by 0.1 points.