Answer:
follow-up
Explanation:
A follow-up employment interview has fewer candidates as compared to the initial interview. The employer invites the best candidate from the first interview for further evaluation.
A follow-up interview is conducted after the employer has identified several potential candidates. Salaries and other benefits are discussed in the follow-up interview.
Anything is possible if you believe!!!
In the given scenario, the best informed reaction in Dave's classification is that it would still be classified as invalid. It is because it still lacks evidence and in order to confirm the given result which had said that he is intellectually disabled, they should also assessed his skills of adapting. If his adaptive skills has been assessed, it will then only be considered if the results are correct or not.
Answer:
$40,000
Explanation:
Stock dividend is the payment of dividend to stockholder in the form of stock/shares of the company. Stock are issued at the market price and the value of the dividend is transferred from the retained earning to the add-in-capital accounts.
Dividend Value = 10,000 x 20% = 2,000 shares
Value is calculated using market value of the stock
Value of Dividend = 2,000 x $20 = $40,000
Par Value of Stocks = $1 x 2,000 = $2,000
Add-in-capital excess of par common stock = ($20-$1) x 2,000 = $38,000
Journal Entry will be as follow
Dr. Retained Earning $40,000
Cr. Common stock $2,000
Cr. Add-in-Capital excess of par common $38,000
<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.
