Answer:
Type I error: Concluding that mean mileage is less than 32 miles per hour when actually it is greater than or equal to 32 miles per gallon.
Step-by-step explanation:
We are given the following in the question:
Hypothesis:
Mean mileage for the Carter Motor Company's new sedan
We can design the null hypothesis and alternate hypothesis as:
![H_{0}: \mu \geq 32\text{ miles per gallon}\\H_A: \mu < 32\text{ miles per gallon}](https://tex.z-dn.net/?f=H_%7B0%7D%3A%20%5Cmu%20%5Cgeq%2032%5Ctext%7B%20miles%20per%20gallon%7D%5C%5CH_A%3A%20%5Cmu%20%3C%2032%5Ctext%7B%20miles%20per%20gallon%7D)
Type I error:
- It is the false positive error.
- It is the error of rejection a true hypothesis.
Type II error:
- It is the false negative error.
- It is the non rejection of a false null hypothesis.
Thus, type I error for the given hypothesis is concluding that mean mileage is less than 32 miles per hour when actually it is greater than or equal to 32 miles per gallon.
Type II error would be concluding that mean mileage is greater than or equal to 32 miles per gallon when actually it is less than 32 miles per gallon.
Hey there!
3/7 is needed for 1 cake
If she needs to make 42 cakes, then multiply the amount for 1 by 42
42 × 3/7 = 126/7 = 18
She needs 18 kilograms of flour to make 42 cakes
Hope this helps :)
Answer:
208.........not sure but this can be the ans
The slope is 0!! any horizontal line, like y = 1, y = 2, y = any other number, has a slope of 0. because it's a horizontal line, it's flat, so there isn't any incline or decline. just as a note: vertical lines (x = 1, etc.) have an undefined slope.