<h3>
Answer:</h3>
The reasoning is correct. The ratio of number of bulbs tested to defective bulbs is always 14 to 1.
<h3>
Step-by-step explanation:</h3>
We generally expect industrial processes to produce defects at about the same rate, meaning the proportion of defective product is generally considered to be a constant. Here, the proportion of defective bulbs is ...
... 1/14 = 2/28 = 6/84
so we expect it will be also 24/336. That is, the ratio of the number of bulbs tested to defective bulbs is expected to remain constant at about 14.
<span>(10^-3L/1mL)^3 is the correct answer.</span>
You could either find how far Chris can run in 60 minutes, or write an equation of ratios:
x 35 min
--------- = --------------
6 mi 50 min
Solving for x: 50x = 210; x = 4.2 miles (answer)
Answer:
B. Yuri divided by n instead of n-1
Step-by-step explanation:
It was stated in the question that the dataset was sample dataset. For a sample dataset, the standard deviation is given by the formula,
σ = √ Σ (Xi - mean)²/(n - 1) where i = 1,2,3.....n
Since this is just a sample dataset and not the whole population, Yuri should have divided by n-1 instead of n.
Answer:
When we have a discount of X% of the original price, the new price is calculated as:
New price = (original price) - (original price)*(X%/100%)
In our case, let's define:
P = original price of the fishing pole
f = price of the fishing pole after the discount
X% = 20%
Then the equation for the price of the fishing pole is:
f = P - P*(20%/100%) = P - P*0.2 = P*(1 - 0.2) = P*0.8
f = 0.8*P
This means that the price after the discount is 0.8 times the original price.
