Answer:
Step-by-step explanation:
A type I error occurs when the null hypothesis is rejected in favor of the alternative hypothesis when the null hypothesis is actually true.
A type II error occurs when the researcher fails to reject the null hypothesis when the null is false.
H0: woman has cancer in the other breast
Ha: woman does not have cancer In the other breast
A) One possible error would be deciding that a woman who does have cancer in the other breast Is cancer-free. Is this a Type 1 or a Type II error?
This error is a type I error as the patient does have cancer which should warrant failing to reject the null but the null was rejected in favour of the alternative.
A Type II error would be coming to the conclusion that the woman <u>does have</u> cancer in the other breast when in fact she does not have cancer in the other breast.
This is a second type of error that can occur and it is a type II error: failing to reject the null when not true.
Answer:
16
Step-by-step explanation:
Answer:
bank b
Step-by-step explanation:
i think man im not for sure
Answer:
a) = Rs 16000
b) = 5%
c) = Rs 30,000,000
10% = 24,000,00/10 = Rs 240,000
20% = 240,000 x 2 = Rs 480,000
480,000/30 = Rs 16000
b) The bonus percentage needs to be increased by 5%
explanation:
Since every worker needs Rs 20000 we need to times it by 30
20000 x 30 = Rs 600,000
600,000 - 480,000 = Rs 120,000
Now we need to find the percentage of Rs 120,000
10% = Rs 240,000
5% = 240,000 divide by 2 = Rs 120,000
This is the best I can do for now please let me know if you understood the answer!
Answer B
Step-by-step explanation:
I took the test and got it right
