The probability of one success and one failure will be 4/9. Table C represents the probability distribution for the variable X.
<h3>What is probability?</h3>The chances of an event occurring are defined by probability. Probability has several uses in games, in business to create probability-based forecasts,
The dials on the spinner are spun 2 times in a row.
P(dial lands on region)=P(success) = 2/3
P(failure) = 1/3
The probability that the two times dials on the spinner are not spun 2 times in a row.
P = (1/3)² = 1/9
The probability that the two times dials on the spinner are spun 2 times in a row.
P = (2/3)²= 4/9
One may calculate the probability of one success and one failure using the binomial distribution or by simply deducting the probabilities we previously determined from 1.
P = 1 - 1/9 - 4/9
P = 4/9
The probability of one success and one failure will be 4/9.
Hence table C represents the probability distribution for the variable
X.
To learn more about the probability, refer to the link;
#SPJ1
Answer:
Step-by-step explanation:
We are given the following in the question:
Sample size, n = 67
Variance = 3.85
We have to find 80% confidence interval for the population variance of the weights.
Degree of freedom = 67 - 1 = 66
Level of significance = 0.2
Chi square critical value for lower tail =
Chi square critical value for upper tail =
80% confidence interval:
Putting values, we get,
Thus, (3.13,4.91) is the required 80% confidence interval for the population variance of the weights.