The Tet offensive was considered to be one of the great debacles of foreign intelligence, wherein it yielded a military success however suffered a great political defeat. In addition, the military operation was considered to be one of the largest military offensive in the course of the Vietnam War.
Answer
The answer and procedures of the exercise are attached in the following archives.
Step-by-step explanation:
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
Answer:
acid-test ratio 1,4044
Explanation:
We are asked for a variation ofthe current ratio
whie current ratio is determinate like:
the acid-test will remove inventory from the current assets, leaving only cash, marketable securities and accounts receivables considered for the calculations:
191,000 current assets - 85,000 inventory = 106,000
136,000 current liabilities
191,600 / 136,000 = 1,4044
Answer:
The store manager is 95% confident that the average amount spent by all customers is between $ 31.84 and $ 38.66.
Explanation:
In statistics, a confidence interval is the probability that the parameter of a population lies between two set of values when a random sample of the population is drawn for a specific percentage of times. This means that the confidence interval is formed about the whole population not the sample from which it is calculated.
The probabilities of a confidence interval can take any number, but 95% and 99% confidence level that are usually used.
It should be noted that, for example, 95% confidence level implies that there is a 95% chance that the true mean of the population lies within the calculated confidence interval.
Therefore, the statement which gives a valid interpretation of the interval in the question is the first one which states that "the store manager is 95% confident that the average amount spent by all customers is between $ 31.84 and $ 38.66."
I wish you the best.
Answer:
Larger-sq and small Se.
Explanation:
Regression line is a line that clearly describes the behavior of a given set of data.
Regression lines are very essential for forecasting processes. The importance of the line is to describe the interrelation of a dependent variable (Y variable) with one or many independent variables (X variable).
An analyst can forecast future behaviors of the dependent variable by making use of the equation gotten the regression line. This is done by inputting different values for the independent ones. Regression lines are frequently employed in the financial sector.
Financial analysts make use of linear regressions to forecast stock prices, commodity prices and also to carry out valuations for many different securities. Companies use regressions for the purpose of forecasting sales, inventories and a lot of other variables that are needed for strategy and planning. The regression line formula is represented below:
(Y = a + bX + u)
