Which shows the correct solution to the inequality StartFraction 7 over 10 EndFraction greater-than-or-equal-to 1 and StartFract
2 answers:
Answer:
The correct answer is p
Step-by-step explanation:
An inequality compares two quantities unlike an equality. An inequality is written with either a greater than ( > ) or lower than ( < ) or greater than equal to ( ) or less than equal to ( ) signs. We solve the above given inequality to find the solutions of the unknown p. An inequality reverses if and only if we we multiply both sides with a negative quantity. Addition or subtraction does not change the sign in the inequality.
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By Green's theorem, the line integral
is equivalent to the double integral
where <em>D</em> is the region bounded by the curve <em>C</em>, provided that this integrand has no singularities anywhere within <em>D</em> or on its boundary.
It's a bit difficult to make out what your integral should say, but I'd hazard a guess of
Then the region <em>D</em> is
<em>D</em> = {(<em>x</em>, <em>y</em>) : 0 ≤ <em>x</em> ≤ 1 and <em>x</em> ² ≤ <em>y</em> ≤ √<em>x</em>}
so the line integral is equal to
which in this case is 7 times the area of <em>D</em>.
The remaining integral is trivial:
Answer:
And the standard deviation for the random variable is given by:
And the distribution for the approximation is given by:
We can use the z score formula given by:
And using the complement rule we got:
And using the standard normal table we got:
Step-by-step explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
We want this probability:
Normal approximation
We need to check if we can use the normal approximation , the conditions are:
Since we satisfy both conditions the normal approximation makes sense
The expected value is given by this formula:
And the standard deviation for the random variable is given by:
And the distribution for the approximation is given by:
We can use the z score formula given by:
And using the complement rule we got:
And using the standard normal table we got: