Answer:
c, I think
Explanation:
because if it is to convince the public to purchase the goods and services, then it would be the production of the goods and services.
Sorry, I don't know if this is correct or not, but I hope this answered your question. Have a nice day! ^ ^
<span>A petition that, if signed by a majority of the members of the House of Representatives, will pry a bill from committee and bring it to the floor for consideration.
A discharge petition!</span>
Arts Direction
that is the answer
hope it works
Answer: John will increase his satisfaction by purchasing the candy bar
Explanation: marginal benefit is a maximum amount a consumer is willing to pay for an additional good or service. It is also the additional satisfaction or utility that consumer receives when the additional good or service is purchased. The marginal benefit for a consumer tends to decreases as consumption of the good or service increases. A marginal benefit applies to any additional unit purchased for consumption after the first unit has been acquired.
For example, if a person purchases a burger for $10, it is assumed the consumer is obtaining at least $10 worth of perceived value from the item.
<span>Put the individual p-values in ascending order.Assign ranks to the p-values. For example, the smallest has a rank of 1, the second smallest has a rank of 2.<span>Calculate each individual p-value’s Benjamini-Hochberg critical value, using the formula (i/m)Q, where:<span>i = the individual p-value’s rank,m = total number of tests,Q = the false discovery rate (a percentage, chosen by you).</span></span>Compare your original p-values to the critical B-H from Step 3; find the largest p value that is smaller than the critical value.</span>
As an example, the following list of data shows a partial list of results from 25 tests with their p-values in column 2. The list of p-values was ordered (Step 1) and then ranked (Step 2) in column 3. Column 4 shows the calculation for the critical value with a false discovery rate of 25% (Step 3).
The bolded p-value (for Children) is the highest p-value that is also smaller than the critical value: .042 < .050. <span>All </span>values above it (i.e. those with lower p-values) are highlighted and considered significant, even if those p-values are lower than the critical values. For example, Obesity and Other Health are individually, not significant when you compare the result to the final column (e.g. .039 > .03). However, with the B-H correction, they are considered significant; in other words, you would reject the null hypothesis for those values.