I think you would just have to find the square roots
Answer:
1/5
1. 1/56
2. 1/6
3. 1/65
4. 1/7
5. 1/75
1/8
Step-by-step explanation:
The fractions I gave (1/56, 1/6, 1/65, 1/7, 1/75) are all in between 1/5 and 1/8.
A way to think about this is to add a zero to a denominator of 1/5 and 1/8 and turn them into whole numbers:
1/5 --> 1/50 --> 50
1/8 --> 1/80 --> 80
Then find number between them:
55, 60, 65, 70, 75
Then, turn them into a fraction with a 1 as the numerator and the number as denominators:
1/55, 1/60, 1/65, 1/70, 1/75
This is the process. These numbers are all in between 1/5 and 1/8.
I hope this helps you!
(P.S., I don't think this works with negative numbers, though)
Answer: i gotchu, it would be 22 ounces
Step-by-step explanation:
Answer:
The price of an adult's ticket is $18.5 and price of a child's ticket is $11.
Step-by-step explanation:
We are given the following in the question:
Let x dollars be the cost of an adult's ticket and y dollars be the cost of a child's ticket.
The cost of three adults and two children tickets is $77.50
Thus, we can write the equation:
The cost of two adults and three children tickets is $70.00
Thus, we can write the equation:
Solving the two equations, we get
Thus, the price of an adult's ticket is $18.5 and price of a child's ticket is $11.
We don't know what the exact p-value is, but we are told that it's as large as 0.005 which is smaller than alpha = 0.05
Since the p-value is smaller than alpha, this means we <u>reject the null hypothesis</u>.
The way you can remember this is "if the p-value is low, then the null must go". By "low", I mean "smaller than alpha".
Recall that the p-value is the probability of observing that specific test statistic, or larger. So the chances of chi-squared being 18.68 or larger is a probability between 0.0025 and 0.005; there's a very small chance of this happening. The p-value is based entirely on the assumption that the null is correct. But if the null is correct, then the chances of landing on this are very small. We have a contradiction that basically leads to us concluding the null must not be the case. It's not 100% guaranteed of course, but it's fairly strong evidence.
In short, the p-value being smaller than alpha = 0.05 means we reject the null.
In order to accept the null, the p-value must be 0.05 or larger.
