Questions
Your friend Maz runs a small shop on Etsy selling homemade knit scarves and beanies. Maz...

Your friend Maz runs a small shop on Etsy selling homemade knit scarves and beanies. Maz is trying to figure out what they needs to sell before Christmas to earn an operating income of $500. You volunteer to help them figure it out because of all you’ve learned in ACTG 211. Maz provides you with the following information about their business:

Scarf Beanie
Price per Unit $11 $14
Variable Cost per unit $6 $6
Sales history from last month 30 units 20 units
Fixed Cost $380

What is the weighted average cost per unit? Round answer to nearest penny (x.xx).

How many units does Maz need to sell to breakeven?  Round answer to a whole unit.

How many units does Maz need to sell to achieve their target operating income?  Round answer to a whole unit.

In: Accounting

Write a program in C++ that will output the truth table for a simple wff. There...

Write a program in C++ that will output the truth table for a simple wff. There will only be Ps and Qs, so you can hard code the P truth table and the Q truth table into arrays. The user will use A for ^ , O for V, N for ' , & I for -> .

Hint: Read the first character, load the appropriate truth table into the first working array. Read the next character. If it is an N, output the negation of the first working array. If it is a P or Q, oad the appropriate truth table into the second working, array, then read the last character and output the appropriate truth table.

Expression                Would be input as

P^Q                            PQA

P'                                PN

Q->P                           QPI

Example runs (note the user input is bold)

Run 1

Please input the wff: PQA

The truth table is

T

F

F

F

Run 2

Please input the wff: P'

The truth table is

F

F

T

T

In: Computer Science

For Exercises explain how each experiment can be simulated by using random numbers. Two players match pennies.

For Exercises explain how each experiment can be simulated by using random numbers.

Two players match pennies.

In: Statistics and Probability

Eclosion refers to the emergence of an adult insect from an egg. The following data gives...

Eclosion refers to the emergence of an adult insect from an egg. The following data gives eclosion rates when nymphs were exposed to heat for various durations.

Duration (d)     0 1 2 3 5 10 15
Sample size       126   42   47   44   46   42   10
# Emerged:     107 38 44 40 38 35 7

Carry out a chi-squared test to decide whether it is plausible that eclosion rate does not depend on exposure duration.
a. State the appropriate hypotheses.

b. Calculate the test statistic value. (X^2)

In: Statistics and Probability

A researcher wants to investigate the usefulness of hypnotism for reducing levels of anxiety in individuals...

A researcher wants to investigate the usefulness of hypnotism for reducing levels of anxiety in individuals experiencing stress. He identifies 30 people at random from a group of 100 who have "high stress" jobs. The 30 people are divided into two separate groups. One group of 15 receive the hypnotism. The other group of 15 acts as the control group - they receive no hypnotism. The subjects in each group are then given an anxiety inventory. The results are in the table below, where a higher score means more anxiety.

Hypnotism Group No Hypnotism Group
7 7
2 7
7 9
6 10
8 11
6 8
3 6
2 12
6 9
8 11
7 7
5 9
5 11
8 10
7 8

Please answer all parts to the question

a. Calculate the degrees of freedom.

b. Calculate the difference between the means (MHypnotism - MNo Hypnotism).

c. Calculate Σχ for the Hypnotism Group.

d. Compute Σχ² for the Hypnotism Group.

e. Calculate Σχ for the No Hypnotism Group.

f. Calculate Σχ² for the No Hypnotism Group.

g. Calculate the Standard Error for this test. Round to two decimal places.

S(χ1 – χ2) = ?

f.Calculate the t observed value for this test. Round to two decimal places.

t = ?

g.What is the probability (p) of getting the difference between sample means if the null hypothesis were true? Use Oak Software (NOTE: make sure you input the correct df, select t to p, select the correct area for a left-tailed test, input the correct t value, then press Calculate.

p = ?

h. Based on the results of your analysis, what is your decision regarding the Null hypothesis?

I. Write you conclusion in terms of the effect of hypnotism on anxiety.

In: Statistics and Probability

Career Training According to the study The American Freshman: National Norms 2015, 76.1% of college freshmen...

Career Training According to the study The American Freshman: National Norms 2015, 76.1% of college freshmen said that “to get training for a specific career” was a very important reason for their going to college. Consider a group of seven freshman selected at random. In Exercises 23–26, find the probabilities that the number of people in the group who felt that the reason was very important is as stated. 23. All seven 24. Exactly three of the seven 25. At least six of the seven 26. No more than two of the seven

In: Statistics and Probability

Using the information in data set one, which I have included in the table below, recalculate total cost, fixed cost, variable cost, marginal cost, average total cost, average variable cost and average fixed costs if the price of the variable input (which

Problem Two

Using the information in data set one, which I have included in the table below, recalculate total cost, fixed cost, variable cost, marginal cost, average total cost, average variable cost and average fixed costs if the price of the variable input (which is labor in this example) is not $50 but $55. I have created Table 2 for you to put your answers in. Assume that fixed costs remain at $220.  When the price of a variable input changes which other costs will increase? Compare the costs you calculate for table two to the costs calculated in table one to find your answers.

Table Two for Answers to Problem Two

Units of Labor

Total

Product

(output)

FC

VC

TC

MC

ATC

AVC

AFC

0

0








1

3








2

7








3

12








4

16








5

19








6

21








In: Economics

You’ve just been promoted to a management position at Worcester Corset Candies Company. Congrats! Immediately, you...

You’ve just been promoted to a management position at Worcester Corset Candies Company. Congrats! Immediately, you get a call that Finance noticed a cost variance in your department. It appears that you are consuming too few ingredients for your scheduled output. A box of Special Mixed Corset Candies is supposed to be 140 ounces, and your annual bonus is paid on how close you manage your department’s per/unit costs. To begin analyzing the process, you ask your fill machine operator to record the weights of 9 candy cartons each hour for the next 11 hours. (HINT: Save yourself a lot of time and do this in Excel). Are all points on the R-chart are within the control limits? Are all points on the X-bar chart are within the control limits? So, manager, is your candy making process considered in control?

Data provided

Batch Weight 1 Weight 2 Weight 3 Weight 4 Weight 5 Weight 6 Weight 7 Weight 8 Weight 9
1 147 136 138 138 131 130 134 148 144
2 148 137 149 134 134 143 144 150 140
3 138 141 130 140 135 132 138 134 133
4 141 143 149 133 143 149 132 135 130
5 135 141 140 139 135 150 136 130 135
6 133 146 142 136 150 140 144 147 150
7 138 137 145 138 134 149 130 131 147
8 144 137 133 149 131 141 143 149 146
9 145 134 149 140 142 130 150 142 148
10 135 146 130 141 135 137 141 140 150
11 149 142 149 143 142 137 134 139 140

In: Operations Management

Does undergraduate success predict graduate success? While most people complete their bachelor's degree during the daytime...

Does undergraduate success predict graduate success? While most people complete their bachelor's degree during the daytime while taking multiple classes and not working full-time, those getting an MBA are typically taking one or two courses at a time, in the evening or on weekends, and while working and even supporting a family. Yet one would expect those who perform better in their bachelor's degree will perform better in their master's. Using a significance level of .05, test whether there is a correlation between the BS GPA and the MBA GPA. Also, answer the following:

a) What is the correlation coefficient & how strong is it?
b) What is the best fit regression equation that can predict the MBA GPA from the BS GPA?
c) What percent of the variability in the MBA GPA can be explained by the regression model?
d) What would you expect a student's MBA GPA to be if he/she had a 3.50 BS GPA?

Data File

ID Gender Major Employ Age MBA_GPA BS GPA Hrs_Studying Works FT
1 0 No Major Unemployed 39 2.82 3 10 0
2 1 No Major Full Time 55 4 4 15 0
3 0 No Major Part Time 43 3.45 3.5 3 0
4 0 No Major Full Time 56 2.61 4 4 0
5 1 No Major Full Time 38 3.5 3.3 5 0
6 0 No Major Unemployed 54 4 3.05 5 1
7 0 No Major Full Time 30 3 4 6 0
8 0 No Major Full Time 37 2.5 3.6 6 0
9 0 No Major Part Time 38 2.84 3.05 6 0
10 0 No Major Full Time 42 3.72 3.7 6 0
11 0 No Major Part Time 52 3.21 3.5 6 0
12 0 No Major Full Time 35 3.44 3.55 6 0
13 0 No Major Full Time 37 3.65 2.78 6 0
14 0 No Major Full Time 53 3.02 3.3 6 0
15 0 No Major Part Time 51 3.03 3.25 6 0
16 1 No Major Full Time 40 3.8 4 6 0
17 0 Finance Full Time 33 4 3.5 6 1
18 0 No Major Part Time 53 3.26 3.5 7 0
19 0 No Major Full Time 43 3.53 3.75 6 0
20 0 Finance Unemployed 35 3.75 3.9 7 0
21 0 No Major Full Time 57 3.15 3.2 6 0
22 1 No Major Part Time 32 3.66 3.75 8 0
23 1 No Major Full Time 59 3.36 3.45 8 0
24 1 No Major Full Time 48 3.79 2.55 8 0
25 1 No Major Part Time 34 2.85 3.05 8 0
26 1 No Major Full Time 53 3.74 3.9 8 0
27 1 No Major Part Time 35 3.23 4 2 0
28 1 No Major Unemployed 38 3.52 3.7 2 0
29 1 No Major Part Time 37 3.32 3.45 2 0
30 0 Finance Full Time 46 2.89 3.1 2 0
31 0 No Major Full Time 44 2.83 3.05 1 0
32 0 No Major Unemployed 31 2.93 3.1 1 0
33 0 No Major Full Time 51 3.71 3.8 1 0
34 0 Finance Full Time 47 3.47 2.6 4 0
35 0 No Major Part Time 56 3.52 3.8 4 0
36 1 Finance Part Time 42 2.83 4 4 0
37 0 Finance Full Time 44 3.64 3.55 6 1
38 0 No Major Unemployed 54 2.96 3.1 6 0
39 0 Finance Full Time 51 3.59 3.9 6 1
40 0 No Major Part Time 42 3.33 3.9 6 1
41 0 Finance Full Time 45 3.38 3.6 6 0
42 0 Finance Full Time 55 3.44 3.35 6 1
43 0 No Major Full Time 47 3.31 3.9 7 0
44 1 Finance Unemployed 43 3.03 3.25 7 0
45 0 Finance Full Time 57 3.26 3.4 7 1
46 1 Finance Full Time 36 3.04 4 7 0
47 1 No Major Part Time 58 2.98 3.1 7 0
48 1 Finance Full Time 46 2.8 3.05 7 0
49 1 Finance Full Time 53 3.75 3.75 3 1
50 0 Finance Full Time 59 3.64 3.65 3 1
51 0 No Major Full Time 49 3.65 3.8 3 1
52 0 Finance Full Time 34 3.18 3.3 3 0
53 0 No Major Full Time 46 3.44 4 3 1
54 1 Finance Unemployed 46 3.06 3.15 3 1
55 1 Finance Full Time 33 3.51 3.75 10 0
56 1 Marketing Part Time 56 3.33 3.4 2 1
57 1 Marketing Full Time 39 2.81 3.05 2 0
58 1 Marketing Full Time 51 3.64 3.8 8 1
59 1 Leadership Part Time 55 3.05 3.4 7 0
60 1 Leadership Full Time 38 2.85 3.25 3 1
61 1 Marketing Full Time 33 3.56 3.6 7 1
62 1 Marketing Full Time 34 2.92 3.1 5 0
63 1 Marketing Full Time 31 3.35 3.5 7 1
64 1 Marketing Full Time 37 3.46 3.35 10 1
65 1 Marketing Full Time 46 3.59 3.75 8 1
66 1 No Major Unemployed 31 3.11 3.2 6 0
67 1 No Major Full Time 47 3.65 3.7 8 1
68 1 No Major Part Time 54 3.17 3.5 7 0
69 1 No Major Full Time 52 2.97 3.1 5 1
70 1 Marketing Part Time 43 3.77 3.9 8 1
71 1 Leadership Full Time 44 3.21 3.2 6 1
72 1 Leadership Part Time 34 3.17 3.15 6 0
73 1 Leadership Full Time 59 3.65 3.65 10 0
74 1 Leadership Full Time 45 2.94 3.1 5 0
75 1 Leadership Full Time 30 3.53 3.7 8 1
76 1 No Major Full Time 32 3.65 3.6 7 1
77 1 Leadership Full Time 32 3.61 3.7 8 1
78 1 No Major Full Time 40 3.7 3.9 8 1
79 1 Leadership Full Time 48 2.91 3.1 5 1
80 1 Leadership Unemployed 51 3.09 3.25 6 0
81 1 Leadership Full Time 30 3.77 3.95 9 1
82 1 Leadership Full Time 31 3.79 3.8 8 1
83 1 Leadership Full Time 35 3.59 3.6 7 )
84 1 Leadership Full Time 33 3.38 3.5 8 1
85 1 No Major Full Time 35 4 3.5 8 1
86 1 Marketing Full Time 31 2.97 3.1 8 0
87 1 Marketing Full Time 38 3.44 3.65 8 1
88 1 No Major Part Time 46 3.64 3.55 8 1
89 1 Finance Full Time 45 3.48 3.4 8 1
90 1 Finance Full Time 59 2.76 3.1 8 1
91 1 Finance Full Time 58 3.73 3.8 8 1
92 1 Finance Full Time 46 2.91 3.05 8 1
93 1 Finance Full Time 35 3.78 3.95 9 1
94 1 Finance Part Time 53 3.5 3.4 7 1
95 1 Finance Full Time 31 3.13 3.15 6 1
96 1 Finance Full Time 50 3.14 3.25 6 1
97 1 Finance Full Time 38 3.24 3.3 6 1
98 1 Finance Full Time 50 3.56 3.5 7 1
99 1 Finance Full Time 48 3.16 3.25 6 1
100 1 Finance Full Time 53 3.53 3.55 7 1
101 0 No Major Unemployed 53 3.7 3.15 6 0
102 0 Marketing Full Time 30 3.3 3.35 6 1
103 0 Marketing Part Time 32 4 3.6 7 0
104 0 Leadership Full Time 42 3.5 3.4 7 0
105 0 Leadership Full Time 56 3.39 3.4 7 1
106 0 No Major Full Time 46 3.65 3.8 8 1
107 0 Leadership Full Time 49 2.78 3.7 8 1
108 0 No Major Part Time 32 3.44 3.6 7 0
109 0 No Major Full Time 36 3.88 3.95 9 1
110 0 No Major Full Time 42 2.84 3.95 9 1
111 0 No Major Part Time 37 3.53 3.6 7 1
112 0 No Major Full Time 31 3.22 3.3 6 0
113 0 No Major Full Time 31 3.56 3.8 8 1
114 0 No Major Unemployed 42 3.2 3.25 6 1
115 0 No Major Full Time 39 3.56 3.3 6 1
116 0 No Major Full Time 47 3.41 3.6 7 1
117 0 Leadership Part Time 28 3.56 3.7 8 1
118 0 Leadership Unemployed 28 3.34 3.6 7 0
119 0 Leadership Full Time 52 2.56 3.6 7 1
120 0 Leadership Part Time 35 3.76 3.8 8 1
121 1 Finance Full Time 38 3.55 3.45 7 1
122 1 No Major Full Time 44 3.88 3.9 8 1
123 1 No Major Part Time 38 3.31 3.45 7 1
124 1 Finance Full Time 52 3.09 3.15 6 1
125 1 Finance Unemployed 53 3.82 4 9 0
126 1 Finance Part Time 53 3.01 3.2 6 1
127 1 Finance Full Time 31 3.66 3.85 8 1
128 1 Finance Part Time 47 3.64 3.7 8 1
129 1 Finance Full Time 51 3.59 3.65 7 1
130 1 Finance Unemployed 37 3.49 3.55 7 1
131 1 Finance Part Time 46 3.13 3.2 6 1
132 1 Finance Full Time 48 3.83 3.9 8 1
133 1 Leadership Full Time 54 3.04 3.15 6 1
134 1 Leadership Full Time 48 3.91 4 10 1
135 1 Leadership Full Time 36 3.56 3.7 8 1
136 1 Finance Unemployed 39 3.96 4 9 1
137 1 Finance Full Time 28 3.46 3.4 7 1
138 1 Finance Part Time 45 3.22 3.15 6 0
139 1 Finance Full Time 31 3.27 3.2 6 0
140 1 Finance Full Time 47 3.43 3.45 7 1
141 1 Finance Part Time 35 3.85 3.95 9 1
142 1 Finance Full Time 52 3.89 3.9 8 1
143 0 Finance Part Time 52 3.37 3.45 7 1
144 1 Finance Unemployed 55 3.32 3.3 6 0
145 1 Finance Full Time 52 3.54 3.55 7 1
146 1 Finance Part Time 46 3.8 3.9 8 1
147 1 Leadership Full Time 31 3.74 3.85 8 1
148 1 Leadership Unemployed 33 3.6 3.45 7 1
149 1 Leadership Part Time 45 2.6 3.55 7 1
150 1 Leadership Unemployed 50 3.8 3.3 6 1
151 1 No Major Part Time 33 2.67 3.45 7 1
152 1 No Major Full Time 37 3.95 4 9 1
153 1 No Major Unemployed 33 3.56 3.75 8 0
154 1 Marketing Full Time 46 3.79 3.75 8 1
155 1 Marketing Unemployed 55 3.93 4 9 1
156 1 Marketing Full Time 30 3.79 3.85 8 1
157 1 Marketing Full Time 51 3.71 3.85 8 1
158 1 Marketing Unemployed 35 3.05 3.35 6 1
159 1 Marketing Unemployed 40 3.22 3.2 6 1
160 0 Marketing Part Time 29 3.85 3.95 9 1
161 1 Marketing Full Time 52 3.82 3.95 9 1
162 1 Marketing Unemployed 27 3.23 3.95 9 1
163 1 Marketing Full Time 51 3.56 3.65 7 1
164 0 Marketing Part Time 56 3.53 3.65 7 1
165 1 Marketing Unemployed 35 3.62 4 9 1
166 1 Leadership Full Time 46 3.8 3.95 9 1
167 1 Leadership Part Time 39 3.47 3.35 6 0
168 1 Leadership Full Time 31 3.64 3.65 7 1
169 1 Leadership Part Time 52 3.03 3.15 5 1
170 1 Leadership Unemployed 35 3.17 3.25 6 1
171 1 Leadership Full Time 32 3.22 3.2 6 1
172 0 Leadership Part Time 44 3.92 4 10 1
173 1 Leadership Unemployed 43 3.82 3.95 9 1
174 1 Leadership Part Time 38 3.26 3.55 7 1
175 1 Leadership Full Time 54 3.8 3.85 8 1
176 1 Leadership Full Time 30 3.2 3.2 6 0
177 0 Leadership Part Time 38 3.46 3.35 6 1
178 1 Leadership Full Time 45 3.67 3.75 8 1
179 1 Leadership Unemployed 48 4 3.4 7 0
180 1 Leadership Full Time 43 3.66 3.85 8 0
181 0 Leadership Full Time 34 3.96 4 10 1
182 1 Leadership Full Time 54 3.75 3.85 8 1
183 1 Leadership Full Time 36 3.83 3.85 8 1
184 1 Leadership Full Time 45 3.55 3.2 6 1
185 0 Leadership Unemployed 55 3.36 3.35 6 1
186 1 Leadership Part Time 45 3.21 3.25 6 1
187 1 Leadership Part Time 34 2.97 3.15 5 1
188 0 Leadership Part Time 54 3.99 4 10 1
189 1 Leadership Full Time 36 3.07 3.15 6 1
190 1 Leadership Full Time 24 3.65 3.65 7 1
191 1 Leadership Full Time 34 3.67 3.85 8 1
192 1 Leadership Full Time 45 3.06 3.35 6 0
193 1 Leadership Unemployed 33 3.98 3.7 8 1
194 1 Leadership Full Time 22 3.93 4 10 1
195 1 Leadership Unemployed 27 3.41 3.3 6 0
196 1 Leadership Unemployed 33 3.43 3.5 7 1
197 1 Leadership Unemployed 36 3.7 3.65 7 0
198 1 Leadership Unemployed 34 3.76 3.75 8 1
199 1 Leadership Unemployed 55 3.9 3.9 8 0
200 1 Leadership Full Time 33 3.23 3.3 6 1

In: Statistics and Probability

7-4 Dace company manufactures two products, Product F and Product G. The company to produce and...

7-4 Dace company manufactures two products, Product F and Product G. The company to produce and sell 3,200 units of Product F and 2,100 units of Product G during the year. Data relating to the company’s three activity cost pools are given below for the year:

Activity Cost Pool

Total Cost

Product F

Product G

Totals

Machine setups..

$7020

130 setups

130 setups

260 setups

Purchase Orders.

$69,700

520 orders

1,180 orders

1,700 orders

General Factory..

$101,160

3,520 hours

2,100 hours

5,620 hours

A. Calculate activity rates for each activity cost pool using activity-based costing:

b. Using the activity-based costing approach, determine the overhead cost per unit for each product.

In: Accounting