The following timeplot charts the value (in millions of dollars) of inventories held by Dell, Incorporated (the computer maker). This time series is quarterly. The scatterplot on the next page graphs the value of inventories on its lag.
(a) Two outliers are evident in the timeplot (high-lighted with ×€™s). These occur for the quarters ending January 31, 2003 and January 31, 2004. Why might inventories have been so high at the end of these quarters?


(b) Why do two outliers in the timeplot produce the four outliers seen in the scatterplot of Yt on Yt -1?
(c) What is the effect of the outliers on the estimated dependence of inventory levels: Do the outliers create the impression of more or less dependence?
(d) How do you recommend treating these outliers when forecasting future levels of inventory at Dell?
In: Statistics and Probability
In 2019, what is the earned income credit allowed Don Andersen, a head of household taxpayer, assuming he has adjusted gross income of $9,500 and earned income of $5,000? He maintains his household with his daughter.
1) $2004
2) $2049
3) $2094
4) $0
5) None of the above answers are within $20 (plus or minus) of the correct answer.
In 2019, what is the earned income credit allowed Don Andersen, a head of household taxpayer, assuming he has adjusted gross income of $20,500 (consisting of interest income of $3,700 and earned income of $16,800)? He maintains his household with his daughter.
1) 3,447
2) 3,474
3) 3,287
4) $0
5) None of the above answers are within $20 (plus or minus) of the correct answer.
In: Accounting
Recall from Activities 16-1 and 16-3 that the Kaiser Family Foundation commissioned an extensive survey in 2004 that investigated the degree to which American youths aged 8–18 have access to various forms of media. Of the 1036 girls in the sample, 64% had a television in their bedrooms, compared to 72% of the 996 boys in the sample.
a. Suppose you want to use these sample results to produce a 95% confidence interval for πg - πb. Describe in words what πg - πb represents.
b. Calculate this interval, and interpret what it reveals. Be sure to mention whether the interval contains all negative values, all positive values, or some of each.
c. Calculate a 99% confidence interval for πg - πb. Comment on how its midpoint and width compare to the 95% interval
note: TT= pi
In: Statistics and Probability
10.52 Predicting water quality for an area of 40 km2. Refer to Exercise 10.48.( Please do only 10.52 )
(a) Find a 95% confidence interval for the mean response corresponding to an area of 40 km2.
(b) Find a 95% prediction interval for a future response corresponding to an area of 40 km2.
(c) Write a short paragraph interpreting the meaning of the intervals in terms of Ozark Highland streams.
(d) Do you think that these results can be applied to other streams in Arkansas or in other states? Explain why or why not.
Here Exercice 10.48 for the data
10.48 Predicting water quality. The index of biotic integrity (IBI) is a measure of the water quality in streams. IBI and land use measures for a collection of streams in the Ozark Highland ecoregion of Arkansas were collected as part of a study.21 Table 10.4 gives the data for IBI, the percent of the watershed that was forest, and the area of the watershed in square kilometers for streams in the original sample with watershed area less than or equal to 70 km2.
(a) Use numerical and graphical methods to describe the variable IBI. Do the same for area. Summarize your results.
TABLE 10.4 Watershed Area (km2), Percent Forest, and Index of Biotic Integrity
| Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI | Area | Forest | IBI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21 | 0 | 47 | 29 | 0 | 61 | 31 | 0 | 39 | 32 | 0 | 59 | 34 | 0 | 72 |
| 34 | 0 | 76 | 49 | 3 | 85 | 52 | 3 | 89 | 2 | 7 | 74 | 70 | 8 | 89 |
| 6 | 9 | 33 | 28 | 10 | 46 | 21 | 10 | 32 | 59 | 11 | 80 | 69 | 14 | 80 |
| 47 | 17 | 78 | 8 | 17 | 53 | 8 | 18 | 43 | 58 | 21 | 88 | 54 | 22 | 84 |
| 10 | 25 | 62 | 57 | 31 | 55 | 18 | 32 | 29 | 19 | 33 | 29 | 39 | 33 | 54 |
| 49 | 33 | 78 | 9 | 39 | 71 | 5 | 41 | 55 | 14 | 43 | 58 | 9 | 43 | 71 |
| 23 | 47 | 33 | 31 | 49 | 59 | 18 | 49 | 81 | 16 | 52 | 71 | 21 | 52 | 75 |
| 32 | 59 | 64 | 10 | 63 | 41 | 26 | 68 | 82 | 9 | 75 | 60 | 54 | 79 | 84 |
| 12 | 79 | 83 | 21 | 80 | 82 | 27 | 86 | 82 | 23 | 89 | 86 | 26 | 90 | 79 |
| 16 | 95 | 67 | 26 | 95 | 56 | 26 | 100 | 85 | 28 | 100 | 91 |
(b) Plot the data and describe the relationship between IBI and area. Are there any outliers or unusual patterns?
(c) Give the statistical model for simple linear regression for this problem.
(d) State the null and alternative hypotheses for examining the relationship between IBI and area.
(e) Run the simple linear regression and summarize the results.
(f) Obtain the residuals and plot them versus area. Is there anything unusual in the plot?
(g) Do the residuals appear to be approximately Normal? Give reasons for your answer.
(h) Do the assumptions for the analysis of these data using the model you gave in part (c) appear to be reasonable? Explain your answer.
In: Statistics and Probability
Read the following text and apply at least 3 guidelines for judging whether the observed association is causal to answer question.
Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder and is associated with significant burden. More than half of children with ADHD continue to have this disorder in adulthood and live with many long-term adverse health and social conditions. The worldwide ADHD prevalence in children has been estimated at 7.2%. Genetic factors have been demonstrated to play a role in ADHD etiology with a heritability of 70%-80%. Other factors that play a role include low level of paternal education, low maternal age at delivery, prenatal smoking, prenatal illicit drug use, birth complications, low birth weight, preterm delivery, neonatal jaundice, childhood asthma, maternal depression, use of prenatal antidepressants and acetaminophen exposure. It has been demonstrated that exposure to antibiotics in early life disrupts the equilibrium of gut microbiota and could potentially contribute to the development of ADHD. In a population-based cohort study, researchers found that early antibiotic exposure was associated with the development of ADHD (RR=1.10, 95% Confidence interval 1.01, 1.65).
Is the association between early antibiotic exposure and ADHD causal?
In: Nursing
Values in the table below are approximate. Use these to answer the following questions and to compare health impact of the two diseases.
|
R-naught |
Incubation period |
Contagious Period |
|
|
COVID-19 |
2.5 |
10 days |
2-3 days before symptoms to 10 days after |
|
Rabies |
1.5 |
Several months |
From symptoms to 10 days after symptoms |
Recall that R-naught is the average number of additional cases that directly result from a single person bringing it into a fully susceptible community.
Below, compare in the impact between the two diseases for each of these disease characteristics on public health. For each question, use only the information provided in the table.
a. What does the R-naught suggest about the relative public health risk for the two diseases?
b. What do the differences in the incubation period suggest about potential challenges in clinical and public health responses to the two diseases?
c. What do the differences in the contagious period suggest about potential challenges in clinical and public health responses to the two diseases?
d-e. What are two other important aspects of the disease, besides access to vaccination, that would contribute to different health risks for these diseases?
In: Nursing
| Customers | Morning | Afternoon | Evening | Night |
| 99 | 0 | 0 | 0 | 1 |
| 148 | 0 | 1 | 0 | 0 |
| 130 | 0 | 1 | 0 | 0 |
| 106 | 0 | 0 | 0 | 1 |
| 133 | 0 | 0 | 0 | 1 |
| 119 | 0 | 0 | 0 | 1 |
| 105 | 1 | 0 | 0 | 0 |
| 74 | 1 | 0 | 0 | 0 |
| 106 | 0 | 0 | 0 | 1 |
| 94 | 0 | 1 | 0 | 0 |
| 69 | 0 | 0 | 1 | 0 |
| 86 | 0 | 0 | 1 | 0 |
| 95 | 1 | 0 | 0 | 0 |
| 99 | 0 | 1 | 0 | 0 |
| 71 | 0 | 0 | 1 | 0 |
| 80 | 0 | 0 | 1 | 0 |
| 63 | 0 | 0 | 1 | 0 |
| 93 | 0 | 0 | 0 | 1 |
| 117 | 1 | 0 | 0 | 0 |
| 136 | 0 | 1 | 0 | 0 |
| 91 | 0 | 0 | 1 | 0 |
| 131 | 0 | 0 | 0 | 1 |
| 112 | 0 | 1 | 0 | 0 |
| 88 | 1 | 0 | 0 | 0 |
| 59 | 0 | 0 | 1 | 0 |
| 44 | 0 | 0 | 1 | 0 |
| 129 | 0 | 0 | 0 | 1 |
| 82 | 0 | 0 | 1 | 0 |
| 78 | 0 | 0 | 0 | 1 |
| 109 | 1 | 0 | 0 | 0 |
| 51 | 0 | 0 | 1 | 0 |
| 71 | 1 | 0 | 0 | 0 |
| 57 | 0 | 0 | 1 | 0 |
| 112 | 0 | 1 | 0 | 0 |
| 61 | 0 | 0 | 1 | 0 |
| 83 | 0 | 1 | 0 | 0 |
| 101 | 1 | 0 | 0 | 0 |
| 92 | 0 | 0 | 0 | 1 |
| 48 | 0 | 0 | 1 | 0 |
| 73 | 0 | 0 | 1 | 0 |
| 83 | 0 | 0 | 0 | 1 |
| 133 | 0 | 1 | 0 | 0 |
| 69 | 0 | 0 | 1 | 0 |
| 135 | 1 | 0 | 0 | 0 |
| 135 | 0 | 1 | 0 | 0 |
| 96 | 1 | 0 | 0 | 0 |
| 50 | 0 | 0 | 1 | 0 |
| 110 | 0 | 0 | 0 | 1 |
| 58 | 0 | 0 | 1 | 0 |
| 121 | 0 | 1 | 0 | 0 |
| 113 | 1 | 0 | 0 | 0 |
| 65 | 0 | 0 | 0 | 1 |
| 45 | 0 | 0 | 1 | 0 |
| 41 | 0 | 0 | 1 | 0 |
| 86 | 0 | 0 | 1 | 0 |
| 110 | 0 | 0 | 0 | 1 |
| 70 | 0 | 0 | 1 | 0 |
| 104 | 1 | 0 | 0 | 0 |
| 121 | 0 | 0 | 0 | 1 |
| 79 | 1 | 0 | 0 | 0 |
| 121 | 0 | 0 | 0 | 1 |
| 89 | 0 | 0 | 0 | 1 |
| 126 | 0 | 1 | 0 | 0 |
| 75 | 0 | 0 | 1 | 0 |
| 67 | 0 | 0 | 1 | 0 |
| 100 | 0 | 0 | 0 | 1 |
| 93 | 0 | 0 | 0 | 1 |
| 56 | 0 | 0 | 1 | 0 |
| 91 | 0 | 0 | 0 | 1 |
| 129 | 0 | 1 | 0 | 0 |
| 96 | 0 | 0 | 1 | 0 |
| 78 | 0 | 0 | 0 | 1 |
| 48 | 0 | 0 | 1 | 0 |
| 69 | 0 | 0 | 1 | 0 |
| 156 | 0 | 1 | 0 | 0 |
| 98 | 0 | 0 | 0 | 1 |
| 90 | 0 | 0 | 0 | 1 |
| 133 | 0 | 0 | 0 | 1 |
| 93 | 1 | 0 | 0 | 0 |
| 130 | 0 | 0 | 0 | 1 |
| 112 | 1 | 0 | 0 | 0 |
| 109 | 0 | 0 | 0 | 1 |
| 86 | 0 | 0 | 1 | 0 |
| 52 | 0 | 0 | 1 | 0 |
| 104 | 1 | 0 | 0 | 0 |
| 27 | 0 | 0 | 1 | 0 |
| 119 | 1 | 0 | 0 | 0 |
| 113 | 1 | 0 | 0 | 0 |
| 123 | 0 | 1 | 0 | 0 |
| 95 | 1 | 0 | 0 | 0 |
| 93 | 1 | 0 | 0 | 0 |
| 130 | 0 | 1 | 0 | 0 |
| 102 | 1 | 0 | 0 | 0 |
| 111 | 1 | 0 | 0 | 0 |
| 103 | 0 | 0 | 0 | 1 |
| 69 | 0 | 0 | 1 | 0 |
| 101 | 0 | 0 | 0 | 1 |
| 118 | 1 | 0 | 0 | 0 |
| 58 | 0 | 0 | 1 | 0 |
| 111 | 0 | 1 | 0 | 0 |
In: Statistics and Probability
Q1: Discuss three key components of corporate governance in a company: common shareholders, board of directors, and management.
Q2: What is agency problem? any real-world examples?
Q12: Discuss the relationship between unemployment rate and stock market performance.
In: Finance
Describe how true organs (leaves, stems and roots) are different from structures with similar functions in nonvascular plants. Also explain, in general (specific differences not needed), how a botanist can tell the difference between the three types of true organs.
In: Biology
0.070g of caffeine is dissolved in 4.0ml of water. Calculate the total amount of caffeine that can be extracted by:
a) a 6.0ml portion of methylene chloride
b) three 2.0ml portions of methylene chloride
Caffeine has a distribution coefficient of 4.6, between methylene chloride and water.
In: Chemistry