1) The Gallup Poll asked a random sample of 1785 adults whether they attended church or synagogue during the past week. Of the respondents, 44% said they did attend. Suppose that 40% of the adult population actually went to church or synagogue last week. Let p^ be the proportion of people in the sample who attended church or synagogue. Find the probability of obtaining a sample of 1785 adults in which 44% or more say they attended church or synagogue last week. Do you have any doubts about the result of this poll?
2) Suppose 47% of all adult women think they do not get enough time to themselves. An opinion poll interviews 1025 randomly selected women and records the sample proportion who feels they don’t get enough time for themselves. If this sample were repeated numerous times, in what range would the middle 95% of the sample results fall? What is the probability the poll gets a sample in which fewer than 45% say they do not get enough time for themselves?
In: Statistics and Probability
You are a supervisor in a government office. Your workers are upset because their work hours have recently been changed to 8:00am-4:30pm after two years of having flextime in place. Previously, employees were required to be in the office between 10:00am-2:30pm as core hours and could work the remaining part of their eight-hour day anytime between 6:00am and 7:00pm. Employees were free to manage their own time and you did not track their work hours. Everything appeared to be working well, but recently an auditor from the accounting office determined that your workers were only working seven hours a day on average. Two employees were only working during the core hours (4.5 hours per day). Your manager discontinued the flextime program upon hearing these findings.
What are the pros and cons of a flextime program? How could you have kept this problem from happening? Are there any other workplace flexibility options that you could use to replace flextime?
In: Operations Management
USE C++
1. Write a class that will represent a card in a standard deck of playing cards. You will need to represent both the suit (clubs, diamonds, hearts or spades) as well as the rank (A, K, Q, J, 10, 9, 8, 7, 6, 5, 4, 3, 2) of each card.
Note: Use enumeration instead of strings
For example:
Do something like this...
enum suits
{
CLUBS,
DIAMONDS,
HEARTS,
SPADES
};
enum ranks
{
ACE,
KINGS,
QUEENS,
JACKS,
TEN,
NINE,
EIGHT,
SEVEN,
SIX,
FIVE,
FOUR,
THREE,
TWO
};
b. Write methods to
• Initialize the deck of cards
• Perform a perfect shuffle In a perfect shuffle, the deck is broken exactly in half and rearranged so that the first card is followed by the 27th card, followed by the second card, followed by the 28th card, and so on.
• Print the deck of cards
• Compare two decks of cards
c. Print out the initial, the deck after the first perfect shuffle, and the final deck.
d. Print out how many perfect shuffles are necessary to return the deck to its original configuration.
In: Computer Science
1. When choosing a business form, what are they key difference
between proprietorship, partnership and a corporation?
2. What are the seven (7) characteristics of a partnership?
3. What are the differences between a/an
a. Limited liability Partnership
b. Limited liability Corporation
c. S Corporation?
4. What factors are taken into consideration when choosing a
business form?
5. What are the three (3) methods used to allocate income or loss?
Explain each method.
6. What accounts are affected when recording the admission of a new
partner when the new partner contributes cash?
7. What are the two ways a partner generally withdraws from a
partnership?
8. What does capital deficiency mean? What happens if a partner
cannot pay a deficiency?
9. When there is death of a partner, what happens to the
partnership?
10. What are the steps taken when a partnership is liquidated?
Please answer all of the questions, if you can not answer all of the questions do not reply.
In: Accounting
Dataset:
|
clinic1 |
clinic2 |
|
140 |
169 |
|
126 |
151 |
|
30 |
175 |
|
130 |
115 |
|
193 |
167 |
|
137 |
153 |
|
168 |
115 |
|
99 |
194 |
|
135 |
216 |
|
184 |
149 |
|
118 |
122 |
|
109 |
155 |
|
93 |
185 |
|
136 |
150 |
|
102 |
141 |
|
24 |
135 |
|
99 |
87 |
|
104 |
42 |
|
134 |
96 |
|
80 |
111 |
|
30 |
234 |
|
44 |
158 |
|
156 |
130 |
|
150 |
148 |
|
150 |
105 |
|
95 |
108 |
|
51 |
114 |
|
205 |
113 |
|
30 |
131 |
|
92 |
114 |
|
173 |
61 |
|
49 |
175 |
|
137 |
135 |
|
27 |
198 |
|
150 |
149 |
|
182 |
92 |
|
184 |
127 |
|
152 |
170 |
|
147 |
167 |
|
76 |
175 |
|
161 |
263 |
|
143 |
138 |
|
27 |
161 |
|
166 |
166 |
|
139 |
88 |
|
92 |
152 |
|
145 |
136 |
|
176 |
121 |
|
186 |
174 |
|
48 |
90 |
|
92 |
179 |
|
69 |
171 |
|
168 |
85 |
|
27 |
134 |
|
157 |
123 |
|
83 |
134 |
|
139 |
64 |
|
132 |
153 |
|
85 |
106 |
|
97 |
192 |
|
125 |
115 |
|
145 |
150 |
|
129 |
151 |
|
157 |
166 |
|
183 |
105 |
|
50 |
159 |
|
185 |
160 |
|
149 |
52 |
|
157 |
167 |
|
185 |
103 |
|
127 |
178 |
|
110 |
174 |
|
66 |
80 |
|
141 |
128 |
|
125 |
172 |
|
111 |
154 |
|
150 |
170 |
|
162 |
152 |
|
94 |
95 |
|
138 |
111 |
|
162 |
144 |
|
134 |
136 |
|
83 |
191 |
|
157 |
193 |
|
134 |
144 |
|
137 |
168 |
|
76 |
94 |
|
115 |
126 |
|
51 |
208 |
|
150 |
136 |
|
25 |
201 |
|
137 |
171 |
|
148 |
148 |
|
207 |
214 |
|
189 |
111 |
|
104 |
204 |
|
197 |
189 |
|
131 |
159 |
|
151 |
188 |
|
202 |
174 |
In: Statistics and Probability
Dataset:
|
clinic1 |
clinic2 |
|
140 |
169 |
|
126 |
151 |
|
30 |
175 |
|
130 |
115 |
|
193 |
167 |
|
137 |
153 |
|
168 |
115 |
|
99 |
194 |
|
135 |
216 |
|
184 |
149 |
|
118 |
122 |
|
109 |
155 |
|
93 |
185 |
|
136 |
150 |
|
102 |
141 |
|
24 |
135 |
|
99 |
87 |
|
104 |
42 |
|
134 |
96 |
|
80 |
111 |
|
30 |
234 |
|
44 |
158 |
|
156 |
130 |
|
150 |
148 |
|
150 |
105 |
|
95 |
108 |
|
51 |
114 |
|
205 |
113 |
|
30 |
131 |
|
92 |
114 |
|
173 |
61 |
|
49 |
175 |
|
137 |
135 |
|
27 |
198 |
|
150 |
149 |
|
182 |
92 |
|
184 |
127 |
|
152 |
170 |
|
147 |
167 |
|
76 |
175 |
|
161 |
263 |
|
143 |
138 |
|
27 |
161 |
|
166 |
166 |
|
139 |
88 |
|
92 |
152 |
|
145 |
136 |
|
176 |
121 |
|
186 |
174 |
|
48 |
90 |
|
92 |
179 |
|
69 |
171 |
|
168 |
85 |
|
27 |
134 |
|
157 |
123 |
|
83 |
134 |
|
139 |
64 |
|
132 |
153 |
|
85 |
106 |
|
97 |
192 |
|
125 |
115 |
|
145 |
150 |
|
129 |
151 |
|
157 |
166 |
|
183 |
105 |
|
50 |
159 |
|
185 |
160 |
|
149 |
52 |
|
157 |
167 |
|
185 |
103 |
|
127 |
178 |
|
110 |
174 |
|
66 |
80 |
|
141 |
128 |
|
125 |
172 |
|
111 |
154 |
|
150 |
170 |
|
162 |
152 |
|
94 |
95 |
|
138 |
111 |
|
162 |
144 |
|
134 |
136 |
|
83 |
191 |
|
157 |
193 |
|
134 |
144 |
|
137 |
168 |
|
76 |
94 |
|
115 |
126 |
|
51 |
208 |
|
150 |
136 |
|
25 |
201 |
|
137 |
171 |
|
148 |
148 |
|
207 |
214 |
|
189 |
111 |
|
104 |
204 |
|
197 |
189 |
|
131 |
159 |
|
151 |
188 |
|
202 |
174 |
In: Statistics and Probability
(This is the full question. Consultant, Computer Programmer, and Administrator only has to be answered for. Thank you!)--Calculate Payroll
Breakin Away Company has three employees-a consultant, a computer programmer, and an administrator. The following payroll information is available for each employee:
| Consultant | Computer Programmer | Administrator | ||||
| Regular earnings rate | $2,410 per week | $34 per hour | $44 per hour | |||
| Overtime earnings rate | Not applicable | 1.5 times hourly rate | 2 times hourly rate | |||
| Number of withholding allowances | 3 | 2 | 1 | |||
For the current pay period, the computer programmer worked 60 hours and the administrator worked 50 hours. The federal income tax withheld for all three employees, who are single, can be determined by adding $356.90 to 28% of the difference between the employee's amount subject to withholding and $1,796.00. Assume further that the social security tax rate was 6%, the Medicare tax rate was 1.5%, and one withholding allowance is $70.
Determine the gross pay and the net pay for each of the three employees for the current pay period. Assume the normal working hours in a week are 40 hours. If required, round your answers to two decimal places.
| Consultant | Computer Programmer | Administrator | |
| Gross pay | $ | $ | $ |
| Net pay | $ | $ | $ |
In: Accounting
Problem 16-12
Working Capital Cash Flow Cycle
Strickler Technology is considering changes in its working capital policies to improve its cash flow cycle. Strickler's sales last year were $2,825,000 (all on credit), and its net profit margin was 7%. Its inventory turnover was 5.5 times during the year, and its DSO was 43 days. Its annual cost of goods sold was $1,650,000. The firm had fixed assets totaling $495,000. Strickler's payables deferral period is 46 days. Assume 365 days in year for your calculations. Do not round intermediate calculations.
In: Finance
Problem 16-12
Working Capital Cash Flow Cycle
Strickler Technology is considering changes in its working capital policies to improve its cash flow cycle. Strickler's sales last year were $2,825,000 (all on credit), and its net profit margin was 7%. Its inventory turnover was 5.5 times during the year, and its DSO was 43 days. Its annual cost of goods sold was $1,650,000. The firm had fixed assets totaling $495,000. Strickler's payables deferral period is 46 days. Assume 365 days in year for your calculations. Do not round intermediate calculations.
In: Finance
The time required to start a business, defined as the number of days needed to complete the procedures to legally operate a business, in 20 developed countries and 20 emerging countries is included in the accompanying table. Complete parts (a) through (d) below.
DEVELOPED COUNTRIES (DAYS)
24 34
115 11
7 17
33 20
7 30
4 13
27 10
8 26
6 18
10 22
EMERGING COUNTRIES (DAYS)
2 28
28 15
4 17
5 12
12 5
8 23
15 14
7 8
23 1
2 10
PART A
Assuming that the population variances for developed countries and emerging countries are equal, is there evidence of a difference in the mean time required to start a business between developed countries and emerging countries? (Use a = 0.05) Let m1 be the mean time required to start a business in developed countries and let m2 be the mean time required to start a business in emerging countries.
the null hypothesis is Ho: m1 = m2
the alternative hypothesis is H1: m1 is not equal to m2
what is the test statistic?
what are the critical values?
state the conclusion?
a- reject ho there is sufficient evidence
b- reject ho there is insufficient evidence
c- do not reject ho there is sufficient evidence
d- do not reject ho there is insufficient evidence
part b
determine the p value?
interpret the meaning
a- the p value is the probability of 2 samples, one taken from each of the two populations , have a mean differnece greater than or equal to the mean difference of these two samples there is no difference in the true population means
b- the p value is the probability that the null hypotheisis is true
c-the p value is the probability of 2 samples, one taken from each of the two populations, have a mean difference less than or equal to the mean difference of these two samples there is a difference in the true population means
d-the p value is the probability of 2 samples, one taken from each of the two populations, have a mean difference equal to the mean difference of these two samples
part c
in addition to equal variance what other assumption is necessary in a ?
a- the two populations have equal standard deviations
b-the two sample sizes are equal
c- the hypothesis test must be a two tail test so the results can be validly compared to a 95% confidence interval
d- the two populations are normally distributed
part d
construct a 95% interval estimate of the difference betweeen the populations mean of developed countries and emerging countries
blank is less thsn or equal to m1- m2 which is less than or equal to blank
In: Statistics and Probability