Questions
What percent of undergraduate enrollment in coed colleges and universities in the United States is male?...

What percent of undergraduate enrollment in coed colleges and universities in the United States is male? A random sample of 50 such institutions give the following data (Source: USA Today College Guide).

Percent Males Enrolled in Coed Universities and Colleges
42 36 53 72 53 37 39 34
36 53 35 69 39 36 59 36
35 51 47 32 49 57 33 39
45 47 52 21 41 46 24 37
42 32 39 49 62 52 45 72
48 71 38 36 51 38 26 44
44 50

For this problem, use five classes.

(a) Find the class width.

(b) Make a frequency table showing class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies.

(c) Draw a histogram.

(d) Draw a relative-frequency histogram.

(e) Categorize the basic distribution shape.

(f) Draw an ogive.

In: Math

Hotelling’s location game. Recall the voting game discussed in class. There are two candidates, each of...

Hotelling’s location game. Recall the voting game discussed in class. There are two candidates, each of whom chooses a position from the set S = (1,2,...10). The voters are equally distributed across these ten positions. Voters vote for the candidate whose position is closest to theirs. If the two candidates are equidistant from a given position, the voters at that position split their votes equally. First, unlike in the game analyzed in class, assume that both candidates only care about winning or losing, not about the winning margin. Let the payoff for winning be 100 and the payoff for losing be 0. A tied election yields a payoff of 50.

(a) Find all strategies that strictly dominate strategy 10, and all strategies that weakly dominate 10. Explain your answer.

Next, switch back to the payoff functions we considered in class (candidates care about vote shares) but assume that there are three candidates, instead of two.

(b) Is strategy 10 dominated, strictly or weakly, by strategy 9? How about by strategy 8? Explain.

In: Economics

8. A professor tests whether the loudness of noise during an exam (low, medium, and high)...

8. A professor tests whether the loudness of noise during an exam (low, medium, and high) is independent of exam grades (pass, fail). The following table shows the observed frequencies for this test.

Noise Level
Low Medium High
Exam Pass 21 17 9 47
Fail 9 6 12 27
30 23 21 N = 74

Part A) Conduct a chi-square test for independence at a 0.05 level of significance. (Round your answer to two decimal places.)

Decide whether to retain or reject the null hypothesis.

Part B) Compute effect size using Cramer's V. (Round your answer to two decimal places.)

9. What is Cramer's V for each of the following values for the chi-square test for independence? (Round your answers to two decimal places.)

Part A) X2 = 3.63, n = 50, dfsmaller = 1

Part B) X2 = 9.27, n = 120, dfsmaller = 2

Part C) X2 = 12.23, n = 160, dfsmaller = 3

In: Statistics and Probability

Please add the explanation. 3.A project costs $475 and has cash flows of $100 for the...

Please add the explanation.

3.A project costs $475 and has cash flows of $100 for the first three years and $75 in each of the project's last five years. If the discount rate is 10%, what is the discounted payback period?

A) The project never pays back on a discounted basis

B) 5 years

C) 6 years

D) 7 years

E) 8 years

In: Finance

1. This study (work sampling*) is focusing on machine operations. Using the following data, Categorize the...

1. This study (work sampling*) is focusing on machine operations. Using the following data,

  1. Categorize the events into the interesting activities such as machine idle (I), machine servicing (S).

    Observed Data

    Categorize

            √

    S (Service)

    I (Idle)

    Number of Observation

    Machine Running

    S or I

    222

    Remove Scrap

    S or I

    48

    Change tool

    S or I

    17

    Change material

    S or I

    60

    Adjust die

    S or I

    23

    Wait for maintenance service

    S or I

    53

    Wait for next material

    S or I

    25

  2. What % (p) of the time Machine is down (not idle but “serviced by the operator”) roughly?
  3. An analyst determined that the machining time (Tm) per piece was 40min. What is the actual production for the one machine supervised by one operator for an 8-hour shift given the above conditions?
  4. What is the unit cost ? The operator is paid $10.00/hr and each machine costs $20.00/hr for power and supplies.
  5. Since there is so much lost production due to idle time, management is considering assigning another machine to the first operator. There are three approaches or choices: i) Assign Machines #1 to the first operator and Machines #2 to the second operator, or ii) have both operators help each other and service all two machines as needed. iii) Assign Machines #1 and #2 to the first operator and don’t assign a second operator. Which choice is best, i.e. lowest unit cost?

In: Operations Management

Suppose 44% of politicians are lawyers. If a random sample of size 411 is selected, what...

Suppose 44% of politicians are lawyers.

If a random sample of size 411 is selected, what is the probability that the proportion of politicians who are lawyers will differ from the total politicians proportion by less than 7%? Round your answer to four decimal places.

In: Statistics and Probability

Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number...

Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The x column indicates the number of client contacts last month and the y column shows the value of sales ($ thousands) last month for each client sampled.

Number of Contacts,X Sales ($ thousands),y Number of Contacts,x Sales ($ thousands),y
14 24 23 30
12 14 48 90
20 28 50 85
16 30 55 120
46 80 50 110
  1. Determine the regression equation. (Negative values should be indicated by a minus sign. Do not round intermediate calculations. Round final answers to 2 decimal places.)

x y (x−x¯) (y−y¯) (x−x¯)2 (y−y¯)2 (x−x¯) (y−y¯)
14 376.36 1376.41 719.74
12 14 −21.4 −47.1
20 −13.4 179.56 443.54
16 30 −31.1 967.21
46 12.6 357.21
23 −10.4 967.21
48 90 28.9 213.16 421.94
50 85 23.9 275.56 396.74
55 466.56 3469.21 1,272.24
50 110.0 16.6 48.9
= = Sx =
Sy = r =

b. Determine the estimated sales if 40 contacts are made. (Do not round intermediate calculations. Round final answers to 2 decimal places.)

In: Statistics and Probability

"Three Sample ANOVA QB" Researcher wants to compare test performance for tests printed on three different...

"Three Sample ANOVA QB"

Researcher wants to compare test performance for tests printed on three different colors of paper; Red, Green, and the Standard White. The researcher selects a sample of 11 individuals and has each individual take one test on Red paper, another test on Green paper, and a third test on the Standard White paer. The data are listed below. The researcher wants to minimize the probability of making a Type I error.

   Red Green White   
90 88 86
89 87 85
88 86 84
87 85 83
86 84 82
85 83 81
84 82 80
83 81 76
82 80 78
81 79 77
    80 78 79   

Means 85 83 81 Grand Mean = 83

2)What is the correct observed test statistic value for this statistical test of the means (Round to two decimal places)?

3) What is the correct critical value for this statistical test of the means?

6) conduct post-hoc analysis using Tukey’s HSD. What is the critical value?

7)what is the value of Tukey’s HSD for comparing Red paper to Green paper (Round to two decimal places)?

8)what is the value of Tukey’s HSD for comparing Red paper to White paper (Round to two decimal places)?

9)what is the value of Tukey’s HSD for comparing Green paepr to White paper (Round to two decimal places)?

In: Statistics and Probability

Exercise 8-16 You are the vice president of finance of Novak Corporation, a retail company that...

Exercise 8-16

You are the vice president of finance of Novak Corporation, a retail company that prepared two different schedules of gross margin for the first quarter ended March 31, 2020. These schedules appear below.

Sales
($5 per unit)

Cost of
Goods Sold

Gross
Margin

Schedule 1 $155,700 $143,522 $12,178
Schedule 2 155,700 149,694 6,006


The computation of cost of goods sold in each schedule is based on the following data.

Units

Cost
per Unit

Total
Cost

Beginning inventory, January 1 11,250 $4.50 $50,625
Purchase, January 10 9,250 4.60 42,550
Purchase, January 30 7,250 4.70 34,075
Purchase, February 11 10,250 4.80 49,200
Purchase, March 17 12,250 4.90 60,025


Debra King, the president of the corporation, cannot understand how two different gross margins can be computed from the same set of data. As the vice president of finance, you have explained to Ms. King that the two schedules are based on different assumptions concerning the flow of inventory costs, i.e., FIFO and LIFO. Schedules 1 and 2 were not necessarily prepared in this sequence of cost flow assumptions.

Prepare two separate schedules computing cost of goods sold and supporting schedules showing the composition of the ending inventory under both cost flow assumptions.

Novak Corporation
Schedules of Cost of Goods Sold
For the First Quarter Ended March 31, 2020

Schedule 1
First-in, First-out

Schedule 2
Last-in, First-out

$ $

:

:

$ $


Schedules Computing Ending Inventory

First-in, First-out (Schedule 1)

at $ = $
at $ =
$

Last-in, First-out (Schedule 2)

at $ = $
at $ =
$

In: Accounting

A street performer approaches you to make a bet. He shows you three cards: one that...

A street performer approaches you to make a bet. He shows you three cards: one that is blue on both sides, one that is orange on both sides, and one that is blue on one side and orange on the other. He puts the cards in the bag, pulls out one, and puts it on the table. Both of you can see that the card is blue on top, but haven't seen the other side. The street performer bets you $50 that the other side of the card is also blue. Should you take the bet and WHY? Now that the previous two questions have gotten you thinking about probability, how does probability apply to your profession?

In: Statistics and Probability