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NEW QUESTION: 1
Azure Service Fabricを展開するためのステートフルサービスを開発しています。 RunAsyncメソッドを実装する予定です。
IReliableディクショナリー・インターフェースのインスタンスとインターフェースして、サービスが呼び出されるたびにカウントを増やすメソッドを実装する必要があります。サービスが最初に呼び出されるときは、カウントがまだ存在しない場合は1に初期化する必要があります。呼び出されるたびに1つずつ更新してください。
どの3つの方法を順番に実行しますか？解答するには、適切な解答方法を解答リストから解答領域に移動して正しい順序で並べます。
Answer:
Explanation:
1 - TryAddAsync
2 - AddOrUpdateAsync
3 - TryGetValueAsync
NEW QUESTION: 2
Juliet has downloaded and installed the Google AdWords editor for her business. Over the past several months she's deleted ad groups, so she doesn't want to see these deleted items anymore.
How can she hide the deleted items through the AdWords Editor?
A. Google AdWords always keeps a history of the deleted items, so Juliet can reactive these a ds.
B. Juliet can hide the deleted items through the Account menu and Settings option
C. Juliet can hide the deleted items through the Tools menu and Settings option
D. Juliet can hide the deleted items through the File menu and Preferences option
Answer: C
NEW QUESTION: 3
Sharleef Nettleton, a quantitative analyst with Churn Brothers Brokerage, is examining a data sample and has amassed the following information:
Standard deviation of the sample: 2.90
Number of observations: 68
Degrees of freedom: 2
Sample mean: 114
Assume that Ms. Nettleton formulates a null hypothesis that states that the value of the population mean is zero. Additionally, assume that the population standard deviation is unknown. Given this information, what is the standard error of the estimate? Further, what is the test statistic? Choose the best answer.
A. 0.3517; 324.14
B. 0.3570; 29.91
C. 0.3517; 84.34
D. 1.0199; 111.78
E. 1.0199; 56.44
F. 0.3570; 319.38
G. None of these answers is correct.
Answer: A
Explanation:
Explanation/Reference:
Explanation:
If the population standard deviation is unknown, as in this example, the standard error of the estimate is found by using the following equation:
{Standard error = s / square root of n} where s = the sample standard deviation and n = the number of observations in the sample.
In this example, all of the necessary information has been provided, and the determination of the standard error of the estimate is found as:
{Standard error = [2.90 / 8.2462] = 0.3517}
Now that the standard error of the estimate has been calculated, the test statistic can be found by using the following equation:
{Test statistic = [sample statistic - value of the population parameter under the null hypothesis] / standard error of the sample statistic].
Again, all of the necessary information has been provided, and the calculation of the test statistic is found as follows:
{Test statistic = [114 - 0] / 0.3517 = 324.14}
This is a very large test statistic and the null hypothesis will likely be rejected unless a very low level of confidence is employed.
