Answer:
Total cost: $23.9425
Cost per serving: $0.92
Explanation:
First, you have to determine to total cost per ingredient. Let's solve.
1. 4lb x $3.39/lb = $13.56<em> (ground beef)</em>
2. 3lb x $1.69/lb = $5.07 <em>(tomatoes)</em>
3. 2 lb x $1.09/lb = $2.18<em> (onions)</em>
4. 1lb x $1.59/lb = $1.59 <em>(green pepper)</em>
5. 4 oz. = 0.25 lb
- 0.25 lb x $2.59/lb = $0.6475<em> (garlic)</em>
6. 8 oz. = 0.5 pt.
- 0.5 pt. x $1.79/pt. = $0.895 <em>(tomato paste)</em>
Now, we can add the cost per ingredient to know the "<em>total cost."</em>
Let's compute.
$13.56 + $5.07 + $2.18 +$1.59 + $0.6475 + $0.895 = $23.9425
The total cost is: $23.9425
The total cost will be divided into 26, the expected number of servings.
So, $23.9425 ÷ 26 = $0.92 <em>(92 cents)</em>
Each serving costs $0.92.
Dr Michiaki Takahashi and he made the medicine in the 1960s
Answer:
The answer is: Increases with more tests (trials)
Explanation:
The statement above is related to the subject of "Statistics." Under this is the<u> "null hypothesis."</u> This refers to the general statement which states<u> that there is no significant difference among variables. </u>The "power of the test" refers to the probability that you have rejected the null hypothesis correctly.
<em>You only find the power of the test when you are assuming that the null hypothesis is, indeed, false.</em> There are many factors affecting the power of a test such as the <em>significance level (α = alpha) of the test, the sample size (n), the difference between a parameter's true value and hypothesized value and the inherent variability of the response variables that are being measured. </em>
So, this means that the power of the study increases with more tests (trials). The process is being improved with more tests, thereby increasing the power. This, in turn, increases the probability of rejecting the null hypothesis.
Thus, this explains the answer.
