Answer:
D - It is impossible to make a judgment with the given information.
Step-by-step explanation:
The fact that 1200 births were randomly selected and only 599 of such picks are girls does not give enough information on whether the birth is significantly high, low or neither. We must have other information to test for significance of the births proportion.
All we know is that;
Proportion of girls birth (p) = 599/1200 = 0.499. And by default, the proportion of male births (q) will be 1-p = 1-0.499 = 0.501.
If we examine the proportion closely, there seems to be no significant difference in the birth proportion.
Having said this, we cannot really imply that, the number of girls is significantly high. Or the number of girls is neither significantly low nor significantly high. Or the number of girls is significantly low.
The best subjective submission will be that, <em>there is no significant difference between girls birth and males birth.</em> The question of high or low (an alternative hypothesis) requires some further statistical test and this question does not provide further details.
Answer:
The variance for the number of tasters is 4.2
Step-by-step explanation:
For each person, there are only two possible outcomes. Either they are tasters, or they are not. The probability of a person being a taster is independent of any other person. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
Probability of exactly x sucesses on n repeated trials, with p probability.
The variance of the binomial distribution is:
It is known that 70% of the American people are "tasters" with the rest are "non-tasters". Suppose a genetics class of size 20
This means that
So
The variance for the number of tasters is 4.2
By definition, the area of a circle is given by:
Where,
r: radius of the circle.
Substituting the values in the given expression, we have:
Rounding to the nearest tenth we have:
Answer:
Approximately needed:
Answer:
58.9% produced produced peppers weighing between 13 and 16 pounds.
Step-by-step explanation:
We are given the following information in the question:
Mean, μ = 15
Standard Deviation, σ = 1.75
We are given that the distribution of weight of peppers is a bell shaped distribution that is a normal distribution.
Formula:
P(peppers weighing between 13 and 16 pounds)
58.9% produced produced peppers weighing between 13 and 16 pounds.