Questions
QS 16-27B Direct: Computing cash from operations LO P5 CRUZ, INC. Comparative Balance Sheets December 31,...

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...

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...

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

  • Can we consider the cohort of these boys to be a random sample of a certain portion of the male youth of UK?
  • What is the necessary assumption that needs to be made about the income group assignment of these boys for the duration of the study?
  • Identify the random variables of the data set. What is the type of these variables?
  • Construct the appropriate plot of these data.
  • Do the two random variables seem to have an association? Which one can be used as explanatory?           

In: Statistics and Probability

The Cambridge Study of delinquent development was undertaken in N. London to investigate the links between...

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

  • Can we consider the cohort of these boys to be a random sample of a certain portion of the male youth of UK?
  • What is the necessary assumption that needs to be made about the income group assignment of these boys for the duration of the study?
  • Identify the random variables of the data set. What is the type of these variables?
  • Construct the appropriate plot of these data.
  • Do the two random variables seem to have an association? Which one can be used as explanatory?  

In: Statistics and Probability

Describe why a coastal location, like Santa Monica or San Diego, has a more moderate climate...

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

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?


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,...

  1. 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.

  2. Suppose you believe that your long-time supplier of face masks produced less than 2% defective face masks.

    1. a) What are your null and alternative hypotheses for this problem?

    2. b) How do we commit a Type I error for this case?

    3. 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...

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:...

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...

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