Answer:
50 just subtract the larger number by the smallest
Step-by-step explanation:
A. In 8,326, the 8 is in the thousands place, while in 840,210, the 8 is in the hundred-thousands place.
B. In 2,008, the 8 is in the ones place, while in 28,420, the 8 is in the thousands place.
C. In 284, the 8 is in the tens place, while in 32.098, the 8 is in the thousandths place.
D. In 48.97, the 8 is in the ones place, while in 32.80, the 8 is in the tenths place.
Answer:
D. 
Step-by-step explanation:
First, move the variable (+ 2y) to the left-hand side and change its sign.
Then, move the constant (+ 7) to the right-hand side and change its sign.
Then, collect the like terms (y - 2y)
Finally, add the numbers (3 + 7). That will get you your final answer.
Answer: D) the significance level of the test
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Explanation:
The significance level of the test, also known as "alpha", is the probability of making a type 1 error. A type 1 error is where you reject the null hypothesis but it was true all along.
The null hypothesis is where we test a certain probability distribution (eg: normal distribution). Specifically we gather a sample of values and compute the test statistic. If the probability of getting that test statistic or more extreme is smaller than alpha, then we reject the null. This probability value is known as the p-value.
If you lower the alpha value, then that will make it more likely you do not reject the null. Consider an example where alpha = 0.10 to start with. If you get a p-value of 0.02, then you would reject the null. The same would apply for alpha = 0.05; however, with alpha = 0.01, the p-value is no longer smaller than alpha. At this point we do not reject the null. Your textbook may use the phrasing "fail to reject the null".
Going in the opposite direction, increasing the alpha value will make it more likely to reject the null. Each time you adjust the alpha value, keep the p-value to some fixed number (between 0 and 1).
Answer: there are 16 belts.
Step-by-step explanation: because
