Answer:
Thirty-two percent of fish in a large lake are bass. Imagine scooping out a simple random sample of 15 fish from the lake and observing the sample proportion of bass. What is the standard deviation of the sampling distribution? Determine whether the 10% condition is met.
A. The standard deviation is 0.8795. The 10% condition is met because it is very likely there are more than 150 bass in the lake.
B. The standard deviation is 0.8795. The 10% condition is not met because there are less than 150 bass in the lake.
C. The standard deviation is 0.1204. The 10% condition is met because it is very likely there are more than 150 bass in the lake.
D. The standard deviation is 0.1204. The 10% condition is not met because there are less than 150 bass in the lake.
E. We are unable to determine the standard deviation because we do not know the sample mean. The 10% condition is met because it is very likely there are more than 150 bass in the lake
The answer is E.
Answer: Most Viable: On a coordinate plane, a straight line with a positive slope begins at point (0, 0), and ends at point (2.5, 5).
Also possible, but only if someone scoops exact amounts (maybe pre-packaged for people who don't want to do their own scooping.): On a coordinate plane, blue diamonds appear at points (0, 0), (1, 2), (2, 4).
Step-by-step explanation:
The line beginning at (0,0) ending at (2.5, 5) represents all the prices for any amount that the customer scoops. for example, $5 for 2 1/2 pounds or $1 for 1/2 pound or $2 for 1 pound would all be represented in the graphed line.
The graphs with negative values don't make sense. You can't scoop negative pounds!
<em>Again, good descriptions but difficult to sort out. Are you able to hit [enter] or [return] between options, or attach a screenshot?</em>
Answer:
The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is__3.5%___ which is___significant_(at α=0.05)_ so there _is_ sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.
Step-by-step explanation:
Correlation coefficient shows the relation between the <em>weights</em><em></em> and <em>highway fuel consumption amounts</em> of seven types of automobile.
P-value states <em>the significance</em> of this relationship. If the p-value is lower than a <em>significance level</em> (for example 0.05) then the relation is said to be significant.
As the highest measurement unit given is KL, we will convert the other values to KL to arrange from largest to smallest or descending order.
Converting the given values we get:
9000 ml = 0.009 KL
4.8 L = 0.0048 KL
Third given is 0.048 KL
So, now arranging them from largest to smallest we get,
0.048 KL, 0.009 KL, 0.0048 KL
Hence the correct order is:
0.048 KL, 9000 ml, 4.8 L
