Answer:
Step-by-step explanation:
The equation of the line in Slope-Intercept form is:
Where "m" is the slope and "b" the y-intercept.
Since the given line has a y-intercept at (0,-15), then:
The formula for calculate the slope is:
Knowing that the given line contains the points (0,-15) and (-4,-3), we can calculate the slope. This is:
Substituting values into , we get that the equation of the line in Slope-Intercept form is:
Using error concepts, it is found that the option that represents a Type I error is:
- d. Saying that the student is a music industry management major when in fact the student is a finance major.
The definitions of each type of error are as follows:
- A Type I error happens when a <u>true null hypothesis is rejected.</u>
- A Type II error happens when a <u>false null hypothesis is not-rejected.</u>
In this problem, the Hypothesis are:
- Null: Student is a finance major.
- Alternative: Student is a music industry management major.
By the definition of a Type I error, in this problem, it would consist in saying that a finance major student is a music industry management major student, hence option d is correct.
You can learn more about Type I and II errors at brainly.com/question/25225353
Expanded form of 5 is 5
Expanded form of 923 is 9 hundreds + 2 tens + 3 ones
So, (5 * 900) + (20 *5) + (3 * 5) = 4500 + 100 + 15 = 4615
Answer:
The expected number of defective batteries to be pulled out is 0.9, which rounded to the nearest integer gives a total of 1, that is, 1 of the 3 batteries is expected to be defective.
Step-by-step explanation:
Given that a box contains 3 defective batteries and 7 good ones, and I reach in and pull out three batteries, to determine what is the expected number of defective batteries, the following calculation must be performed:
3 + 7 = 100
3 = X
10 = 100
3 = X
3 x 100/10 = X
300/10 = X
30 = X
3 x 3/10 = X
0.9 = X
Therefore, the expected number of defective batteries to be pulled out is 0.9, which rounded to the nearest integer gives a total of 1, that is, 1 of the 3 batteries is expected to be defective.