QS 16-27B Direct: Computing cash from operations LO P5
| CRUZ, INC. Comparative Balance Sheets December 31, 2019 |
|||||||
| 2019 | 2018 | ||||||
| Assets | |||||||
| Cash | $ | 72,900 | $ | 18,100 | |||
| Accounts receivable, net | 31,300 | 38,400 | |||||
| Inventory | 65,600 | 72,100 | |||||
| Prepaid expenses | 4,000 | 3,300 | |||||
| Total current assets | 173,800 | 131,900 | |||||
| Furniture | 80,600 | 93,500 | |||||
| Accum. depreciation—Furniture | (12,500 | ) | (7,100 | ) | |||
| Total assets | $ | 241,900 | $ | 218,300 | |||
| Liabilities and Equity | |||||||
| Accounts payable | $ | 11,400 | $ | 16,100 | |||
| Wages payable | 6,800 | 3,800 | |||||
| Income taxes payable | 1,200 | 2,100 | |||||
| Total current liabilities | 19,400 | 22,000 | |||||
| Notes payable (long-term) | 24,800 | 55,800 | |||||
| Total liabilities | 44,200 | 77,800 | |||||
| Equity | |||||||
| Common stock, $5 par value | 170,300 | 134,800 | |||||
| Retained earnings | 27,400 | 5,700 | |||||
| Total liabilities and equity | $ | 241,900 | $ | 218,300 | |||
| CRUZ, INC. Income Statement For Year Ended December 31, 2019 |
||||||
| Sales | $ | 373,800 | ||||
| Cost of goods sold | 240,600 | |||||
| Gross profit | 133,200 | |||||
| Operating expenses | ||||||
| Depreciation expense | $ | 28,800 | ||||
| Other expenses | 68,300 | 97,100 | ||||
| Income before taxes | 36,100 | |||||
| Income taxes expense | 13,100 | |||||
| Net income | $ | 23,000 | ||||
Use the above balance sheet and income statement to prepare the
operating activities section by direct method. Assume all
the sales were made on credit basis. (Amounts to be
deducted should be indicated with a minus sign.)
In: Accounting
|
CRUZ, INC. Comparative Balance Sheets December 31, 2017 |
|||||||
| 2017 | 2016 | ||||||
| Assets | |||||||
| Cash | $ | 94,800 | $ | 24,000 | |||
| Accounts receivable, net | 41,000 | 51,000 | |||||
| Inventory | 85,800 | 95,800 | |||||
| Prepaid expenses | 5,400 | 4,200 | |||||
| Total current assets | 227,000 | 175,000 | |||||
| Furniture | 109,000 | 119,000 | |||||
| Accum. depreciation—Furniture | (17,000 | ) | (9,000 | ) | |||
| Total assets | $ | 319,000 | $ | 285,000 | |||
| Liabilities and Equity | |||||||
| Accounts payable | $ | 15,000 | $ | 21,000 | |||
| Wages payable | 9,000 | 5,000 | |||||
| Income taxes payable | 1,400 | 2,600 | |||||
| Total current liabilities | 25,400 | 28,600 | |||||
| Notes payable (long-term) | 29,000 | 69,000 | |||||
| Total liabilities | 54,400 | 97,600 | |||||
| Equity | |||||||
| Common stock, $5 par value | 229,000 | 179,000 | |||||
| Retained earnings | 35,600 | 8,400 | |||||
| Total liabilities and equity | $ | 319,000 | $ | 285,000 | |||
|
CRUZ, INC. Income Statement For Year Ended December 31, 2017 |
||||||
| Sales | $ | 488,000 | ||||
| Cost of goods sold | 314,000 | |||||
| Gross profit | 174,000 | |||||
| Operating expenses | ||||||
| Depreciation expense | $ | 37,600 | ||||
| Other expenses | 89,100 | 126,700 | ||||
| Income before taxes | 47,300 | |||||
| Income taxes expense | 17,300 | |||||
| Net income | $ | 30,000 | ||||
QS 12-14B Direct: Computing cash received from customers LO P5
1. How much cash is received from sales to
customers for year 2017?
2. What is the net increase or decrease in cash
for year 2017?
In: Accounting
The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between criminal behavior in young men and socioeconomic factors of the upbringing. A cohort of 395 boys was followed for about 20 years starting at the age of 8 or 9. All boys attended 6 schools located near the research office.
The table below provides the following summary statistics relating family income and convictions.
Income level
|
Inadequate |
adequate |
Comfortable or higher |
|
|
No convictions |
47 |
128 |
90 |
|
Convicted |
43 |
57 |
30 |
In: Statistics and Probability
The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between criminal behavior in young men and socioeconomic factors of the upbringing. A cohort of 395 boys was followed for about 20 years starting at the age of 8 or 9. All boys attended 6 schools located near the research office.
The table below provides the following summary statistics relating family income and convictions.
Income level
|
Inadequate |
adequate |
Comfortable or higher |
|
|
No convictions |
47 |
128 |
90 |
|
Convicted |
43 |
57 |
30 |
In: Statistics and Probability
Describe why a coastal location, like Santa Monica or San Diego, has a more moderate climate throughout the year than an inland location like Little Rock, AR or Dallas, TX? Provide 4 main reasons.
In: Other
California insurance companies wanted to study factors (e.g., the proximity to a major earthquake fault line) that may influence homeowners’ decisions to purchase earthquake insurance. Surveys were mailed to randomly selected households in three California counties to investigate the possible proximity effect. The data collected are shown below:
Sample size
1000- Los Angeles
1200- San Barnadino
1400-Santa Clara
Numbers with earthquake insurance
377-Los Angekes
469-San Bernadino
390-Santa Clara
1. Los Angeles County is located closest among the three to a major earthquake fault line. Are homeowners in Los Angeles County more likely to purchase earthquake insurance than those in San Bernardino County? Test using α = 0.05.
In: Statistics and Probability
Suppose a random sample of 500 adults from Santa Clara County answered this question: “in general, do you believe in ghosts?” 225 responded that they believe in ghosts. Test whether it is plausible that, if you could ask all adults in the Santa Clara County this question, less than half would say they believe in ghosts. Use the significance level of 0.01 for this test. Do not forget to follow those five steps.
Suppose you believe that your long-time supplier of face masks produced less than 2% defective face masks.
a) What are your null and alternative hypotheses for this problem?
b) How do we commit a Type I error for this case?
c) How do we commit a Type II error for this situation?
In: Statistics and Probability
Java queue linked list
/*
* Complete the enqueue(E val) method
* Complete the dequeue() method
* Complete the peek() method
* No other methods/variables should be added/modified
*/
public class A3Queue {
/*
* Grading:
* Correctly adds an item to the queue - 1pt
*/
public void enqueue(E val) {
/*
* Add a node to the list
*/
}
/*
* Grading:
* Correctly removes an item from the queue - 1pt
* Handles special cases - 0.5pt
*/
public E dequeue() {
/*
* Remove a node from the list and
return it
*/
return null;
}
/*
* Grading:
* Correctly shows an item from the queue - 1pt
* Handles special cases - 0.5pt
*/
public E peek() {
/*
* Show a node from the list
*/
return null;
}
private Node front, end;
private int length;
public A3Queue() {
front = end = null;
length = 0;
}
private class Node {
E value;
Node next, prev;
public Node(E v) {
value = v;
next = prev =
null;
}
}
}
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
public class A3Driver {
public static void main(String[] args) {
A3Queue queue = new
A3Queue<>();
queue.enqueue(5);
queue.enqueue(20);
queue.enqueue(15);
System.out.println(queue.peek()+":5");
System.out.println(queue.dequeue()+":5");
queue.enqueue(25);
System.out.println(queue.dequeue()+":20");
System.out.println(queue.dequeue()+":15");
}
}
In: Computer Science
Which of the following scenarios contain nonbiased samples? Select all that apply. Select all that apply: To estimate the mean height of students at her school, Kelly collects data by selecting a random group of students within her classroom. Elizabeth wants to estimate the mean grade point average of students at her school. She collects data by recording the grade point average of every 25th student on the list of students after a randomly selected first student. Andrew wants to estimate the mean number of classes that students take at his university. He collects data from a randomly selected proportionate number of students from each grade level. To estimate the mean salary of professors at his university, Homer collects data by recording the salaries of all professors included in 12 randomly selected departments.
In: Statistics and Probability
5.78
A selective college would like to have an entering class of 1000 students. Because not all studets who are offered admission accept, the college admits more than 1000. Past experience shows that about 83% of the students admitted will accept. The college decides to admit 1200 students.Assuming that students make their decisions independently, the number who accept his the B(1200, 0.83) distribution. If this number is less than 1000, the college will admit students from its waiting list.
a What are the mean and standard deviation of the number X of students who accept?
b. Use the Normal approximation to find the probability that at least 800 students accept.
c. The college does not want more than 1000 students. What is the probability that more than 1000 will accept?
d. If the college decides to decrease the number of admission offers to 1150, what is the probability that more than 1000 will accept?
In: Statistics and Probability