Answer:
approximately $27K
Step-by-step explanation:
Answer:
0.19
Step-by-step explanation:
The are three candidate running for president and we know that probability of winning for first candidate and the probability of winning for second candidate and we have to find the probability of winning for third candidate
P(C1)=0.37
P(C2)=0.44
P(C3)=?
We know that sum of probabilities is always 1. So,
P(C1)+P(C2)+P(C3)=1
0.37+0.44+P(C3)=1
P(C3)=1-0.37-0.44
P(C3)=0.19
Thus, the probability of winning for third candidate is 0.19.
Answer:
The number is -3
Step-by-step explanation:
Write an equation
2x+4=-10
add 4 on both sides
2x=-6
divide 2 on both sides to isolate variable
x=-3
Answer:
Therefore, the conclusion is valid.
The required diagram is shown below:
Step-by-step explanation:
Consider the provided statement.
Premises: All good students are good readers. Some math students are good students.
Conclusion: Some math students are good readers.
It is given that All good students are good readers, that means all good students are the subset of good readers.
Now, it is given that some math students are good students, that means there exist some math student who are good students as well as good reader.
Therefore, the conclusion is valid.
The required diagram is shown below:
Answer:
Type I error occurs when the null hypothesis, H0, is rejected, although it is true.
Here the null hypothesis, H0 is:
H0: Setting weekly scheduled online interactions will boost the well being of people who are living on their own during the stay at home order.
a) A Type I error would be committed if the researchers conclude that setting weekly scheduled online interactions will not boost the well being of people who are living on their own during the stay at home order, but in reality it will
b) Two factors affecting type I error:
1) When the sample size, n, is too large it increases the chances of a type I error. Thus, a sample size should be small to decrease type I error.
2)A smaller level of significance should be used to decrease type I error. When a larger level of significance is used it increases type I error.
