Answer:
1
Step-by-step explanation:
The zeroes or x intercepts are when the line crosses through the x-axis.
In this case you should only have one being (1) because the line only passes the x-axis once. Also by real zeroes it means non -5i #s so nothing with an (i) for imaginary #'s.
Hope this helps.
17.5 %. Simplify 5700000000 to 5.7 billion. 1 billion/5.7 billion = .175. Multiply by 100 for percent= 17.5%
Answer:
The graph with solution is shown below.
Step-by-step explanation:
We need to find the 
and 
for given equation.
For , substitute 
Considering inequality sign as equality and simplifying,
, point is 
Similarly,
For , substitute 
We get,
, point is 
We locate this two points on the graph now and join them.
The joining line will be dotted as the inequality has just 'greater than' symbol. The region above the dotted line is the solution to graph.
Answer:
the line is curved
Step-by-step explanation:
so it wont work
When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution then"it is flatter and wider than the normal distribution."
<h3>What is normal distribution?</h3>
The normal distribution explains a symmetrical plot of data around the mean value, with the standard deviation defining the width of the curve. It is represented graphically as "bell curve."
Some key features regarding the normal distribution are-
- The normal distribution is officially known as the Gaussian distribution, but the term "normal" was coined after scientific publications in the nineteenth century demonstrated that many natural events emerged to "deviate normally" from the mean.
- The naturalist Sir Francis Galton popularized the concept of "normal variability" as the "normal curve" in his 1889 work, Natural Inheritance.
- Even though the normal distribution is a crucial statistical concept, the applications in finance are limited because financial phenomena, such as expected stock-market returns, do not fit neatly within a normal distribution.
- In fact, prices generally follow a right-skewed log-normal distribution with fatter tails.
As a result, relying as well heavily on the a bell curve when forecasting these events can yield unreliable results.
To know more about the normal distribution, here
brainly.com/question/23418254
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