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
#SPJ4
48 sq. Units
If I’m wrong I’m truly sorry
I am not good at this so ii wont be able to solve it for ya but i can help you.
So to find the line of best fit you have to pick to pick to points on your scatter plot. Then with those two points you add the y points together then add the x points together. Your equation with be what you got in all y over x. That is your slope. I hope this helped you!
Answer




Explanation:
Given
See attachment for proper data presentation
--- Sample
A = Supplier 1
B = Conforms to specification
Solving (a): P(A)
Here, we only consider data in sample 1 row.
Here:
and 



P(A) is then calculated as:



Solving (b): P(B)
We only consider data in the Yes column.
Here:
and 



P(B) is then calculated as:



Solving (c): P(A n B)
Here, we only consider the similar cell in the yes column and sample 1 row.
i.e. [Supplier 1][Yes]
This is represented as: n(A n B)

The probability is then calculated as:



Solving (d): P(A u B)
This is calculated as:

This gives:

Take LCM



Answer:
Kevin mowed 4 lawns
Step-by-step explanation:
Let the number of lawns Kevin mowed be x.
12 = 3x
x = 4
Topic: Algebraic equations
If you would like to venture further into mathematics, you can check out my Instagram page (learntionary) where I post notes and mathematics tips. Thanks!