Not sure but probably it’s b or c
Answer:
16
Step-by-step explanation:
The student uses the ratio of 4 oranges to 6 fluid ounces.
When there are 24 fluid ounces, the number of oranges will be:
= 4/6 × 24
= 16 oranges
9514 1404 393
Answer:
36
Step-by-step explanation:
Let n represent the number of stickers Ms Galinia has. Then the number of students is ...
(n -12)/3 . . . for first distribution of stickers*
(n +4)/5 . . . for the second distribution of stickers
Since the number of students has not changed, we can equate these values:
(n -12)/3 = (n +4)/5
5(n -12) = 3(n +4)
5n -60 = 3n +12
2n = 72
n = 36
Ms Galinia has 36 stickers.
_____
* If Ms Galinia has 12 left over after giving 3 to each student, then subtracting 12 from her number of stickers will give a number that is 3 times the number of students. Dividing (n-12) by 3 will give the number of students. Similar reasoning can be used for the 5-per student distribution.
One could write equations using a variable for the number of students, or variables for both students and stickers. Since we only need to know the number of stickers, it seemed reasonable to use one variable for that.
Answer:
and ![H_{a}: \mu > 185](https://tex.z-dn.net/?f=H_%7Ba%7D%3A%20%5Cmu%20%3E%20185)
Step-by-step explanation:
The null hypothesis
states that a population parameter (such as the mean, the standard deviation, and so on) is equal to a hypothesized value. We can write the null hypothesis in the form ![H_{0}: parameter = value](https://tex.z-dn.net/?f=H_%7B0%7D%3A%20parameter%20%3D%20value)
In this context, the investigator's null hypothesis should be that the average total weight is no different than the reported value by the FAA. We can write it in this form
.
The alternative hypothesis
states that a population parameter is smaller, greater, or different than the hypothesized value in the null hypothesis. We can write the alternative hypothesis in one of three forms
![H_{a}: parameter > value\\H_{a}: parameter < value\\H_{a}: parameter \neq value](https://tex.z-dn.net/?f=H_%7Ba%7D%3A%20parameter%20%3E%20value%5C%5CH_%7Ba%7D%3A%20parameter%20%3C%20value%5C%5CH_%7Ba%7D%3A%20parameter%20%5Cneq%20value)
The investigator wants to know if the average weight of passengers flying on small planes exceeds the FAA guideline of the average total weight of 185 pounds. He should use
as his alternative hypothesis.