No, because although two probabilities should be multiplied, it should not be these two probabilities. This is because the two events are likely not independent , Option B is the answer.
<h3>What is Probability ?</h3>
Probability is the study of likeliness of an event to happen. The range of probability is 0 to 1.
It is given that
In a certain city, 60% of the heads of household own the house in which they reside,
and 80% of the heads of the household have full-time employment.
percentage of heads of household both own their home and have a full-time job =?
As the probability of a person having both their own home and having full time employment are not independent , therefore
No, because although two probabilities should be multiplied, it should not be these two probabilities. This is because the two events are likely not independent.
Therefore Option B is the correct answer.
To know more about Probability
brainly.com/question/11234923
#SPJ1
Answer:
ii) a Bonferonni-corrected alpha level of 0.0167 to control the type I error rate for the overall inference to 5% .
Step-by-step explanation:
Previous concepts
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
The hypothesis for this case are:
Null hypothesis: 
Alternative hypothesis: Not all the means are equal 
Since we reject the null hypothesis we want to see which method it's the best to determine which group(s) is (are) different is pairwise two-sample t-tests each assessed using.
And on this case the best option is:
ii) a Bonferonni-corrected alpha level of 0.0167 to control the type I error rate for the overall inference to 5% .
The reason is because the Bonferroni correction "compensates for that increase by testing each individual hypothesis at a significance level of 
who represent the desired overall alpha level and m is the number of hypotheses". For our case m=3 hypotheses with a desired 
, then the Bonferroni correction would test each individual hypothesis at 
One advatange of this method is that "This method not require any assumptions about dependence among the p-values or about how many of the null hypotheses are true" . And is more powerful than the individual paired t tests.
Answer:
orange in the top box .red in the bottom left box . black in the bottom right box
Step-by-step explanation:
brainlest please
Answer:
I think the answer is 14.
Step-by-step explanation:
I'm not 100% sure but I'm pretty sure you times 7 by 2.
What segment? there's nothing there
