<u>We are given the equation:</u>
(a + b)! = a! + b!
<u>Testing the given equation</u>
In order to test it, we will let: a = 2 and b = 3
So, we can rewrite the equation as:
(2+3)! = 2! + 3!
5! = 2! + 3!
<em>We know that (5! = 120) , (2! = 2) and (3! = 6):</em>
120 = 2 + 6
We can see that LHS ≠ RHS,
So, we can say that the given equation is incorrect
-7/9 is repeating
42/50 is terminating
-1/125 is terminating
-77/600 is repeating
179/200 is terminating
5/11 is terminating
The way to figure this out is just by dividing the Numerator (top number) by the denomiter (bottom number)
Example 5÷11=.45454545 repeating
Answer:
sorry if i got it wrong but i think its 22 if f5
Step-by-step explanation:
Answer:
Step-by-step explanation:
Given that in a study of a weight loss program, 4 subjects lost an average of 48 lbs.
It is found that there is about a 32% chance of getting such results with a diet that has no effect.
The results do not appear to have statistical significance. The reasons are
1) Sample size of 4 is very small not even meeting the bare minimum
2) Sample of 4 cannot be taken to represent the population
3) Whether bias was there in the selection of sample is not known.
4) Std deviation is not considered which is very important while concluding results.
Answer:
Throw this sample out and start over again with a better sampling method
Step-by-step explanation:
Biased sampling leads wrong results, since the sample doesn't represent the population which is aimed to be surveyed. Higher/lower confidence level or t distribution cannot correct it.
Confidence level gives the probability of rejecting null hypothesis while it is true. And t-interval is used when the sample size is small or population standard deviation is unknown.
Before choosing confidence level or type of the statistic to infer results, one must follow random sampling not biased.
