Consider the two-way table below. A 4-column table has 3 rows. The first column has entries A, B, total. The second column is la
1 answer:
The probability is the ratio of the favorable event to the total number of events. Then the P(B|C) is 0.38. Then the correct option is B.
<h3>What is probability?</h3>Probability means possibility. It deals with the occurrence of a random event. The value of probability can only be from 0 to 1. Its basic meaning is something is likely to happen.
According to the condition, the table will be
C D Total
A 15 21 36
B 9 25 34
Total 24 46 70
The probability of the (BIC) will be
The P(B|C) is 0.38. Then the correct option is B.
More about the probability link is given below.
You might be interested in
Answer:
a)
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.
We can say that at 5% of significance the true mean is not significantly different from 550.
b) The 95% confidence interval would be given (490.184;559.016).
We are confident at 95% that the true mean is between (490.184;559.016).
Step-by-step explanation:
Part a
Data given and notation
560, 525, 496, 543, 499
The mean and sample deviation can be calculated from the following formulas:
represent the sample mean
represent the sample standard deviation
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the population mean is equal to 550, the system of hypothesis are:
Null hypothesis:
Alternative hypothesis:
Since we don't know the population deviation, is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
(1)
t test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
We need to calculate the degrees of freedom first given by:
Since is a one-side left tailed test the p value would given by:
Conclusion
If we compare the p value and the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis.
We can say that at 5% of significance the true mean is not significantly different from 550.
Part b
The confidence interval for a proportion is given by this formula
The degrees of freedom are 4 from part a
For the 95% confidence interval the value of and
, with that value we can find the quantile required for the interval in the normal standard distribution.
And replacing into the confidence interval formula we got:
And the 95% confidence interval would be given (490.184;559.016).
We are confident at 95% that the true mean is between (490.184;559.016).