Answer:
Answer:
Stabilizer with area = 14 cm².
Step-by-step explanation:
Area of the wing = 101.25 cm²
Rule of the thumb is that area of stabilizer must be about 1/6 to 1/8 of the area of wing. So, first we calculate 1/6 of the area of the wing and 1/8 of the area of the wing. Area of stabilizer must be in between these two numbers.
1/6 of the area of wing = \frac{1}{6} \times 101.25 = 16.87561×101.25=16.875
1/8 of the area of wing = \frac{1}{8} \times 101.25 = 12.65681×101.25=12.656
This means, the area of horizontal stabilizer must be in between 12.656 cm² and 16.875 cm². From the given options only one option lies in between these two numbers and that is 14 cm²
Therefore, area of a good stabilizer design from the given options would be 14 cm²
Answer:
A Positive
Explanation:
I got the question right on the test.
Answer:
TTAGGACACGTA
Explanation:
I guess this is the answer
Health plans are the medical insurances that are used to cover medical bills or expenses. Using the standard plan she can pay $7,000, and using the economy plan $6,000.
<h3>What are economy and standard plans?</h3>
An economy plan is a health plan that covers the cost and the spending of the health care industry. To buy health care plans she needs to approach in-network doctors.
The standard plan is the health plan that pays approximately 60% of the total cost. The maximum out-of-pocket cost that is supposed to be paid in the standard plan is $7,000.
Therefore, economy and standard are the health care plans.
Learn more about economy plans here:
brainly.com/question/26217317
#SPJ1
The statement that is FALSE among the given options on hypothesis testing is;
Option D; Reducing the significance level (α) can increase a test's effectiveness.
This is about hypothesis testing.
Let us look at each of the options.
- A) When we increase the sample size, it means the testing becomes more sensitive and as such we are more likely to reject the null hypothesis. Thus, it increases the effectiveness.
- B) Alpha (α) is defined as the probability of rejecting the null hypothesis. Thus it is the probability of making a Type I error.
- C) Expanding the sample size makes the hypothesis test to be more sensitive. That is makes it more likely to reject the null hypothesis when it is false and as such it increases the power of the test.
- D) The lower the significance level, the lower the power of the test and as such the lesser the tests effectiveness.
Read more about hypothesis testing at; brainly.com/question/15980493
