A for #1
C for #2 ! Hope this helped you out!
Answer:
57.142858%
Step-by-step explanation:
I didn't know if you wanted the entire answer, so I just gave it anyway.
<u>Explanation:</u>
a) First, note that the Type I error refers to a situation where the null hypothesis is rejected when it is actually true. Hence, her null hypothesis would be H0: mean daily demand of her clothes in this region should be greater than or equal to 100.
The implication of Type I error in this case is that Mary <u>rejects</u> that the mean daily demand of her clothes in this region is greater than or equal to 100 when it is actually true.
b) While, the Type II error, in this case, is a situation where Mary accepts the null hypothesis when it is actually false. That is, Mary <u>accepts</u> that the mean daily demand of her clothes in this region is greater than or equal to 100 when it is actually false.
c) The Type I error would be important to Mary because it shows that she'll be having a greater demand (which = more sales) for her products despite erroneously thinking otherwise.
You do
unit of measurement you are using (should be one for now): unit of measurement you want to convert it to.
next you put your measurement in the first one and make the second one your measurement multiplied by whatever your measurement is
Answer:
1/3 < 2/5 < 3/7 < 5/8 < 3/4
Step-by-step explanation:
Using the given inputs:
3/4 5/8 3/7 1/3 2/5
The least common denominator (LCD) is: 840.
Rewriting as equivalent fractions with the LCD:
3/4= 630/840
5/8= 525/840
3/7= 360/840
1/3= 280/840
2/5= 336/840
Sorting this by the numerators of the equivalent fractions in order from least to greatest:
1/3= 280/840= < 2/5= 336/840= < 3/7= 360/840= < 5/8= 525/840= < 3/4
= 630/840
Therefore, the sorted inputs in order from least to greatest is:
1/3 < 2/5 < 3/7 < 5/8 < 3/4
Hopes this helps!
Have a good evening! :)
