Answer with Step-by-step explanation:
Let A and B be non- empty bounded subset of R
a.We have to find why exist
If A and B are bounded set
Then there exist constant such that
and
Then , sup of A =b and sup of B=d
When a set is bounded then all elements lie in the set are lie between the constants s and t.
All elements are less than or equal to t then t is supremum of set.
Because both set are bounded and sup of both set A and B are exist.All elements A union B are less than or equal to sup A or sup B.
Then, exist.
b.We have to prove that
Suppose ,A =(1,2) and B=(2,3)
Sup A=2 , sup B=3
Upper bound of
Hence,
If A=(4,5),B=(2,3)
Sup A=5,Sup B=3
Hence,
Hence, we can say that .
Answer:
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Step-by-step explanation:
Answer:
(x - 1) (x - 2) (x + 2) (x + 3)
Step-by-step explanation:
Factor the following:
x^4 + 2 x^3 - 7 x^2 - 8 x + 12
The possible rational roots of x^4 + 2 x^3 - 7 x^2 - 8 x + 12 are x = ± 1, x = ± 2, x = ± 3, x = ± 4, x = ± 6, x = ± 12. Of these, x = 1, x = 2, x = -2 and x = -3 are roots. This gives x - 1, x - 2, x + 2 and x + 3 as all factors:
Answer: (x - 1) (x - 2) (x + 2) (x + 3)
Answer:
4.5
Step-by-step explanation: you divide 24 by what you do to get 6 which is 4 then you use 4 to divide 18 which is 4.5 or 4 and a half. Have A Great Day!
Answer:
0.73% probability that their mean length is less than 11.1 inches
Step-by-step explanation:
To solve this question, we have to understand the normal probability distribution and the central limit theorem.
Normal probability distribution:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation , the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
Central limit theorem:
The Central Limit Theorem estabilishes that, for a random variable X, with mean and standard deviation , a large sample size can be approximated to a normal distribution with mean and standard deviation, which is also called standard error
In this problem, we have that:
What is the probability that their mean length is less than 11.1 inches
This is the pvalue of Z when X = 11.1. So
By the Central Limit Theorem
has a pvalue of 0.0073.
0.73% probability that their mean length is less than 11.1 inches
and g(x)=x-9 then what is f(g(13))
Step-by-step explanation:
f(g(13)) = ===2
Answer:
3.5
Step-by-step explanation:
im a sophmore and i know this
Answer:B
Step-by-step explanation:
All other equations solve for Y