Answer:
Here are the answer to your question
1. Rhombus
2. Diagonals are congruent
Here is the answer for the rest of the quick check if anyone needs them
3. Diagonals are perpendicular and diagonals are congruent
4. 4
Answer:
a) 6 gigabytes
b) $100
Step-by-step explanation:
Let c represent the total cost in dollars and d represent the amount of data used in gigabytes.
For the first smartphone
One smartphone plan costs $52 per month for talk and messaging and $8 per gigabyte of data used each month.
Equation =
c = 52 + 8d
For the Second smartphone
A second smartphone plan costs $82 per month for talk and messaging and $3 per gigabyte of data used each month.
Equation =>
c = 82 + 3d
How many gigabytes would have to be used for the plans to cost the same?
We would equate both cost to each other
52 + 8d = 82 + 3d
Collect like terms
8d - 3d = 82 - 52
5d = 30
d = 30/5
d = 6
Therefore,
a) The number of gigabytes for the cost of both Smartphone data plans to be the same = 6 gigabytes.
b) The cost of both plans if 6 gigabytes is used =>
c = 52 + 8d
c = 52 + 8 × 6
c = $100
Answer:
a) z = -1.645
b) z = 0.674
Step-by-step explanation:
We have to find the value of z of a standard normal variable Z that satisfies each of the following conditions.
a) 5% of the observations fall below z
Calculation the value from standard normal z table, we have,
b) 25% of the observations fall above z
Calculation the value from standard normal z table, we have,
The first answer is a letter c - normal
distribution. The normal distribution is the most significant
and most generally used distribution in statistics. It is also known as the Gaussian or standard
normal distribution, is the <span>probability
distribution<span> that plots all of its values in an
even fashion, and most of the results are positioned around the probability's
mean. Values are equally likely to plot either above or below the mean. And the
second answer is letter d - sampling distribution. In statistics, it is the
probability distribution of a given statistic centered on a
random sample. Sampling distributions are significant
in statistics because they deliver a major simplification to the statistical
inference.</span></span>
