Answer:
Length: 8 cm
Width: 2 cm
Step-by-step explanation:
Check the attachment.
The slope between these two points is 1/7.
Answer:
The shape of the distribution of the sample mean would be bell-shaped(normally distributed).
Step-by-step explanation:
The Central Limit Theorem answers this question.
Central Limit Theorem
The Central Limit Theorem estabilishes that, for a random variable X, with mean
and standard deviation
, a large sample size, of at least 30, can be approximated to a normal distribution with mean
and standard deviation
.
In this problem, we have that
The population distribution is right-skewed.
Sampling distribution of the sample mean with size 40.
The Central Limit Theorem estabilishes that the sampling distribution of the sample mean will be normally distributed, even if the distribution of the population is not.
So the shape of the distribution of the sample mean would be bell-shaped(normally distributed).
Answer:
no solutions
Step-by-step explanation:
distribute the 4 to get:
-12b - 56 = -12b
add 12b to each side to get:
-56 = 0
since -56 does not equal 0 there are no solutions
<h2>True.</h2><h2 />
In fact, if a design still looks the same after some rotation, then it has Rotational Symmetry. In this context, this design can be an object, a figure, a thing, etc. So these characteristics is the typical quality or feature of this object, figure or thing. An example of rotational symmetry is the Ferris Wheel when it rotates about the center.