Answer:
Only the first autocovariance function : γ(t,r) is covariance stationary, the remaining are not covariance stationary
Explanation:
For a process to be covariance stationary/ weak stationary/ second order stationary it must satisfy these two conditions below:
In order words, {Xt} is said to be (weakly) stationary if :
1. it is independent of t, and
2. For each h, x(t + ћ, t) is independent of t.
In that case, we write:
γX (h) = γX (h,0⇒)
Hence only the first autocovariance function : γ(t,r) is covariance stationary since Autocorrelation function (ACF) is time independent.
The remaining are not covariance stationary because ACF is time dependent.
Answer:
the equivalent amount the company can spend 3 years from now in then-current dollars is $3,943,200
Explanation:
The computation of the equivalent amount the company can spend 3 years from now in then-current dollars is shown below:
= $2,400,000 × (1 + 17.8%)^3
= $2,400,000 × 1.63942
= $3,943,200
Hence, the equivalent amount the company can spend 3 years from now in then-current dollars is $3,943,200
Answer:
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Explanation:
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The maximum gross monthly income is 130 percent of the federal poverty level, and the maximum net monthly income is 100 percent of the federal poverty level. For instance, if your household only consists of one person, then the gross monthly income to be eligible for SNAP is $1,287 (net $990).
Full Question:
Edwin is the HR manager at a customer care unit with approximately 1,000 employees. He wants to statistically analyze the service data to make the recruitment process more effective by identifying desirable and undesirable qualities of employees. Edwin observes a high positive correlation between the employees' ability to adapt and the turnaround time. However, he decides to avoid using this criterion when recruiting employees. Which of the following, if true, would MOST strengthen this decision to avoid the criterion
A) The statistical significance of the correlation was found to be sixty percent.
B) Another trait, honesty, had a higher correlation coefficient than employees' ability to adapt.
C) The sample size used by Edwin was significantly larger than what was required.
D) Multiple regressions were observed among the variables used for the analysis.
Answer:
The correct answer here is A)
Explanation:
The key to decision making using statistical research is <em>Statistical Significance. </em>This means that a statistically significant observation is probably true. In this case, the statistical significance of his findings is 60%.
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