Answer:
The probability that the proportion of freshmen in the sample of 150 who plan to major in a STEM discipline is between 0.29 and 0.37 is 0.3855
Step-by-step explanation:
The probability that the proportion of freshmen in the sample of 150 who plan to major in a STEM discipline is between 0.29 and 0.37 can be calculated by finding <em>z-scores</em> and subtracting P(z<z(0.29)) from P(z<z(0.37))
z-score in the binomial distribution of 28% of freshmen entering college in a recent year planned to major in a STEM discipline can be calculated using the equation:
where
- p(s) is proportion of freshmen we are interested (0.37, 0.29)
- p is the proportion found in recent year found by research group (28% or 0.28)
- N is the sample size (150)
Then z(0.37)=
≈ 2.4550 and P(z<2.4550)=0.993
z(0.29)=
≈ 0.2728 and P(z<0.2728)=0.6075
Then P(z(0.29)<z<z(0.37))=0.993-0.6075=0.3855
Answer:
AB, BD, DC, CA
Step-by-step explanation:
i hope it's right let me know
if it's wrong it's my fault
The first thing we are going to do for this case is define variables.
We have then:
x: number of days
y: number of pages remaining.
We write the linear equation that models the problem:
The intersection with the vertical axis is:
We evaluate x = 0:
We get the point:
The intersection with the horizontal axis is:
We evaluate y = 0:
We get the point:
Answer:
The graph is:
Graph located in the bottom left.
A= 26 > q
if it says 26 grader than it means the mouth opens to that 26
if it says 26 less then it means the mouth is facing to the q
but it is not so it is the mouth facing the 26
<span>This statement is always true. For any two nonzero integers the product and quotient have the same sign. For example, -2*-3 = 6 and of we see -2/-3, then the result is 2/3. The sign in the result is same after product and quotient, but the result has the same sign.</span>
