Personal Budget
At the beginning of the school year, Katherine Malloy decided to prepare a cash budget for the months of September, October, November, and December. The budget must plan for enough cash on December 31 to pay the spring semester tuition, which is the same as the fall tuition. The following information relates to the budget:
| Cash balance, September 1 (from a summer job) | $6,480 |
| Purchase season football tickets in September | 90 |
| Additional entertainment for each month | 220 |
| Pay fall semester tuition in September | 3,500 |
| Pay rent at the beginning of each month | 310 |
| Pay for food each month | 180 |
| Pay apartment deposit on September 2 (to be returned December 15) | 400 |
| Part-time job earnings each month (net of taxes) | 800 |
a. Prepare a cash budget for September, October, November, and December. Enter all amounts as positive values except an overall cash decrease which should be indicated with a minus sign.
| KATHERINE MALLOY | ||||
| Cash Budget | ||||
| For the Four Months Ending December 31 | ||||
| September | October | November | December | |
| Estimated cash receipts from: | ||||
| Part-time job | $ | $ | $ | $ |
| Deposit | ||||
| Total cash receipts | $ | $ | $ | $ |
| Estimated cash payments for: | ||||
| Season football tickets | $ | |||
| Additional entertainment | $ | $ | $ | |
| Tuition | ||||
| Rent | ||||
| Food | ||||
| Deposit | ||||
| Total cash payments | $ | $ | $ | $ |
| Overall cash increase (decrease) | $ | $ | $ | $ |
| Cash balance at beginning of month | ||||
| Cash balance at end of month | $ | $ | $ | $ |
b. Are the four monthly budgets that are
presented prepared as static budgets or flexible budgets?
c. Malloy can see that her present plan sufficient cash. If Malloy did not budget but went ahead with the original plan, she would be $ at the end of December, with no time left to adjust.
In: Accounting
A sample of 10 children in the 5th grade of North Stratfield
School run the 100 meter dash in a average time of 29.2 seconds.
Assume the bias adjusted sample standard deviation of the
individual 100 meter dash times is 13.3 seconds.
Construct a 99% confidence interval for μμ, the true population
mean 100 meter dash time. Since n is small, the t statistic will be
used in deriving this confidence interval.
What is the degrees of freedom parameter that should be used to
derive the t-value?
What is the confidence interval? Give your answers as decimals, to
two places
< μμ <
In: Statistics and Probability
A study was conducted to determine if the salaries of elementary school teachers from two neighboring districts were equal. A sample of 15 teachers from each district was randomly selected. The mean from the first district was $28,900 with a standard deviation of $2300. The mean from the second district was $30,300 with a standard deviation of $2100. Assume the samples are random, independent, and come from populations that are normally distributed. Construct a 95% confidence interval for μ1 - μ2. Assume that two populations' variance are the same (σ21= σ22).
In: Statistics and Probability
A survey of 500 high school students was taken to determine their favorite chocolate candy. Of the 500 students surveyed, 159 like Snickers, 151 like Twix, 176 like Reese's Peanut Butter Cups, 90 like Snickers and Twix, 99 like Twix and Reese's Peanut Butter Cups, 108 like Snickers and Reese's Peanut Butter Cups, and 56 like all three kinds of chocolate candy. How many students like no more than one kind of these chocolate candies?
a) 255
b) 315
c) 189
d) 60
e) 185
f) None of the above.
1b.
A survey of 500 high school students was taken to determine their favorite chocolate candy. Of the 500 students surveyed, 129 like Snickers, 118 like Twix, 145 like Reese's Peanut Butter Cups, 22 like Snickers and Twix, 54 like Twix and Reese's Peanut Butter Cups, 55 like Snickers and Reese's Peanut Butter Cups, and 8 like all three kinds of chocolate candy. How many students like Snickers, but not Twix or Reese's Peanut Butter Cups?
a) 129
b) 69
c) 61
d) 60
e) 121
f) None of the above.
In: Math
School Improvement Case Study:
The Feasibility of Developing a Master’s of Education Program
A study was conducted among teachers in the City of Wertinburg, Mississippi (hypothetical city) and surrounding suburban areas. There are approximately 1600 teachers in the area. This case is about a multistageeffort to determine if the need exists for a nearby university’s (Southland University) College of Education to incorporate a Master of Education program for certified teachers working within school districts in the area. The program will be tailored to current full-time teachers who hold a B.S. Degree.
BACKGROUND
There has been much teacher turnover in the school districts in and around the City of Wertinburg. The turnover ratios are expected to increase due to the aging of the teacher population, incentive buyout programs designed to encourage aging/elderly teachers to retire, and the lack of incentives for teachers in already hard to fill areas in math and science.
RESEARCH CONDUCTED
The faculty of Southland’s College of Education and university administrators conducted a brainstorming session last fall to identify university resources that might contribute to a master’s program in education. This was followed by a retreat with a well-known education consultant who reiterated the advantages of a program in the ongoing preparation of K–12 teachers in the area.
To further explore the opportunity for offering a Master of Arts degree, there were three focus groups conducted with local teachers and superintendents. Both groups were positive about the likelihood of a program customized to the needs of the various local school districts. Additionally, they provided direction for the desired content and orientation of an effective program. Such a program would need to:
• Deal with the diverse cognitive and social needs of students.
• Emphasize technological literacy for both teachers and students.
• Incorporate some functions to increase recruiting among teachers in math and science.
• Emphasize both program and classroom assessments by providing a sound research foundation for both curriculum and instruction.
• Address classroom management issues of student social skills, moral education, and discipline.
• Provide a framework for teachers to learn to collaborate with other teachers and community professionals.
PRELIMINARY RESULTS
Of the 1600 teachers, 763 responded to a preliminary survey that was mailed. Out of 763 teachers, 21.2 percent said they definitely would enroll, with an additional 57.7 percent who might enroll, citing professional requirements, professional advancement, or keeping their certification as the three primary reasons for enrolling. Those who expressed a lack of interest in a Master of Arts program expressed three obstacles: (1) the anticipated high cost, (2) time commitment for classes; and (3) family responsibilities. The university now needs to conduct a more in-depth research study to find out more details so they can examine the feasibility of having the program developed at the university.
Questions for Case Study
In: Statistics and Probability
A school psychologist wants to examine the effects of excessive television viewing on reading ability. It is known that the average number of words read per minute for a fourth grade student is µ =52. The psychologist has students log the number of hours one watches TV for two weeks. Fifteen students who average 3 or more hours of television viewing each night are selected to participate in the study. Can the school psychologist conclude that excessive television viewing decreases reading ability? Use the reading data below to analyze in StatCrunch or SPSS. Test at the .05 level.
|
Reading |
|
53 |
|
46 |
|
44 |
|
38 |
|
57 |
|
52 |
|
37 |
|
34 |
|
38 |
|
50 |
|
51 |
|
46 |
|
45 |
|
39 |
|
49 |
Step 1: Develop Hypotheses:
a. Independent Variable = Scale: Categorical Quantitative (1.5 pts)
b. Dependent Variable = Scale: Categorical Quantitative (1.5 pts)
c. Circle: One-tailed Two-tailed (.05 pt
d. Alternative hypothesis in sentence form (1 pt).
e. Null hypothesis in sentence form (1 pt).
f. Write the alternative and null hypotheses using correct notation (2 pts)
H1: H0:
Step 2: Establish significance criteria (.05 pt)
g. a =
Step 3: Calculate test statistic, effect size, confidence interval
h. tcalculated = Level of significance (p) = (1 pt)
i. Decision: reject null or fail to reject null (1 pt
j. Calculate effect size = (2 pts)
k. Determine the 99% confidence interval: (1 pt)
Step 4: Draw conclusion
l. Write your conclusion in sentence form including appropriate results notation (3 pts).
In: Statistics and Probability
5. Suppose when getting ready for school you make the null hypothesis that it is not going to rain. Identify which of the statements below give a type 1 and type 2 error in context and explain how you know. Then, explain which error you would like to protect more strongly against making and how you would set your significance level for evaluating evidence against your null accordingly.
(a) You take your umbrella to work but don’t end up needing to use it because it never rains. (b) You leave your umbrella at home and get rained on walking between classes.
(b) You leave your umbrella at home and get rained on walking between classes
In: Statistics and Probability
Dolores used to work as a high school teacher for $40,000 per year but quit in order to start her own catering business. To invest in her factory, she withdrew $20,000 fromher savings, which paid 5 percent interest, and borrowed $30,000 from her uncle, whom she pays 4 percent interest per year. Last year she paid $25,000 for ingredients and had revenue of $60,000. She asked Louis the accountant and Greg the economist to calculate her profit for her.
Explicit cost- ?
Implicit cost-?
Accounting profit-?
Economic profit-?
In: Economics
There are 398 students currently enrolled in a statistics course at your school. You wish to form
a sample of 4 students to answer some survey questions. Select the students who will belong to
the simple random sample by using the randomly generated number table below by starting in the
fourth row and first column.
35931 89035 23653 46370 28433
62632 81258 40557 19325 43161
28330 34629 79010 22483 95383
12441 20033 11802 03263 75380
Please let me know what fourth row and what first column is, and how to solve this problem easily.. And please give me the answer for this question.
In: Statistics and Probability
Personal Budget
At the beginning of the school year, Priscilla Wescott decided to prepare a cash budget for the months of September, October, November, and December. The budget must plan for enough cash on December 31 to pay the spring semester tuition, which is the same as the fall tuition. The following information relates to the budget:
| Cash balance, September 1 (from a summer job) | $6,000 |
| Purchase season football tickets in September | 150 |
| Additional entertainment for each month | 250 |
| Pay fall semester tuition in September | 3,500 |
| Pay rent at the beginning of each month | 450 |
| Pay for food each month | 400 |
| Pay apartment deposit on September 2 (to be returned December 15) | 450 |
| Part-time job earnings each month (net of taxes) | 1,300 |
a. Prepare a cash budget for September, October, November, and December. Enter all amounts as positive values except cash decrease which should be indicated with a minus sign.
| Priscilla Wescott | ||||
| Cash Budget | ||||
| For the Four Months Ending December 31 | ||||
| September | October | November | December | |
| Estimated cash receipts from: | ||||
| Part-time job | $ | $ | $ | $ |
| Deposit | ||||
| Total cash receipts | $ | $ | $ | $ |
| Less estimated cash payments for: | ||||
| Season football tickets | $ | |||
| Additional entertainment | $ | $ | $ | |
| Tuition | ||||
| Rent | ||||
| Food | ||||
| Deposit | ||||
| Total cash payments | $ | $ | $ | $ |
| Cash increase (decrease) | $ | $ | $ | $ |
| Plus cash balance at beginning of the month | ||||
| Cash balance at end of month | $ | $ | $ | $ |
In: Accounting