Answer:
F(x)>0 over the intervals (-infinate, -2.5) and (-0.75, 0.75)
Step-by-step explanation:
hope this helps
Answer:
The probability that the stock will sell for $85 or less in a year's time is 0.10.
Step-by-step explanation:
Let <em>X</em> = stock's price during the next year.
The random variable <em>X</em> follows a normal distribution with mean, <em>μ</em> = $100 + $10 = $110 and standard deviation, <em>σ</em> = $20.
To compute the probability of a normally distributed random variable we first need to compute the <em>z</em>-score for the given value of the random variable.
The formula to compute the <em>z</em>-score is:
Compute the probability that the stock will sell for $85 or less in a year's time as follows:
Apply continuity correction:
P (X ≤ 85) = P (X < 85 - 0.50)
= P (X < 84.50)
*Use a <em>z</em>-table for the probability.
Thus, the probability that the stock will sell for $85 or less in a year's time is 0.10.
The correct ratio for this problem is 3:4
<h2>The steps:</h2><h2>1) make 45 and 60 a fraction </h2><h2>2)45/60 simplify </h2><h2>3) once you simplfy you should get 3/4</h2><h2 /><h2>Steps in Numbers:</h2><h2>45/60 =3/4</h2><h2>60/45=4/3 convert 3/4</h2><h2>3/60=1/20 </h2><h2>3/45=1/15</h2><h2>Step 3:</h2><h2>60 divided into 48 as a fraction and simplify it </h2>
Answer:
Step-by-step explanation:
The Mean is 102.85
The Median is 23.85
There is no Mode
And the Range is 67
Hope this was correct!
Since the sample is greater than 10, we can approximate this binomial problem with a normal distribution.
First, calculate the z-score:
z = (x - μ) / σ = (37000 - 36000) / 7000 = 0.143
The probability P(x > 37000$) = 1 - P(<span>x < 37000$),
therefore we need to look up at a normal distribution table in order to find
P(z < 0.143) = 0.55567
And
</span>P(x > 37000$) = 1 - <span>0.55567 = 0.44433
Hence, there is a 44.4% probability that </span><span>the sample mean is greater than $37,000.</span>
