The probability that the results indicate an unsuccessful market for the product and the product is actually unsuccessful is P=0.77.
<h3>What is probability?</h3>
Probability is defined as the ratio of the number of favourable outcomes to the total number of outcomes in other words the probability is the number that shows the happening of the event.
Events:
S: success
F: failure
MS: market research forecast a success
MF: market research forecast a failure
The information we have is:
P(S)=0.70
P(F)=0.30
P(S|MS)=0.90
P(F|MS)=0.20
If P(F|MS)=0.20, we can derive that P(F|MF)=0.80. That is, the failed products were predicted to be a failure based on market research 80 per cent of the time.
We also can conclude that P(S|MF)=0.10.
We can calculate the probability of having a forecast of a failure, given that the product is actually unsuccessful as:



The probability that the results indicate an unsuccessful market for the product and the product is actually unsuccessful is P=0.77.
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For this you'll have to use the sine ratio.
sin 27 = 34 / x
x = 34 / sin 27
x = 74.89
The answer is 74.89
If the multiplicity is even, the x-intercept will touch the x-axis and turn away (sometimes people call this "kissing" the x-axis). If the multiplicity is odd, the intercept will go right through the x-axis, so the answer to your question is false. In general, remember that odd crosses and even touches/turns/kisses.
Liabilities are what someone owes and assets are what someone owns and is worth something. The house is an asset and the car loan is a liability. According to the numbers provided the assets have an increase of $6,000 with +10,000 from the house and -4,000 from the car. And liabilities had a decrease of $25,500 with a -$29,000 from mortgage and car loans and a +3,500 from the savings account and debt. So assets increase and liabilities decrease.
C. The way the sample was chosen may overrepresent or underrepresent students taking certain language classes.
The samples he chose may not be a representative sample because the number of students per foreign language class may not be the same. Since classes have different numbers of students, one may have a very large number of students while another may have only a few. Taking equal number of students per class is not a representative sample because it doesn't represent the students correctly.