Answer:
Type I error: The correct option is (C).
Type II error: The correct option is (D).
Step-by-step explanation:
The type-I-error is the probability of rejecting the null hypothesis when the null hypothesis is true.
The type-II-error is the probability of filing to reject the null hypothesis when in fact it is false.
The hypothesis in this problem can be defined as follows:
Null hypothesis (H₀): The percentage of adults who have a job is equal to 88%.
Alternate Hypothesis (Hₐ): The percentage of adults who have a job is different from 88%.
The type-I-error in this case will be committed when we conclude that the percentage of adults who have a job is different from 88% when in fact it is equal to 88%.
The type-II-error in this case will be committed when we conclude that the percentage of adults who have a job is equal to 88% when in fact it is different than 88%.
Answer:
63
Step-by-step explanation:
Because 7(9)=63.
Answer:
Exponential Decay
Step-by-step explanation:
It's exponential growth when your base value is > 1. Example:
1.3ˣ, 2ˣ, 7ˣ, 999ˣ
It's exponential decay when the base value is < 1. Example:
0.9ˣ, 0.45ˣ, (1/2)ˣ, 0.79ˣ, .999ˣ
It's neither when the base value = 1. Example:
1ˣ
