Questions
Is there a significant difference in Highway MPG between cars weighing greater than 1.5 tons and...

Is there a significant difference in Highway MPG between cars weighing greater than 1.5 tons and cars weighing less than 1.5 tons? Using inferential statistics, determine whether we accept or reject the null hypothesis by showing: hypothesis, critical value, formulas, test statistics, decision/conclusions. Here is the dataset:

HighwayMPG (for cars less than 1.5 tons) Highway MPG (for cars greater than 1.5tons)
25 20
34 20
31 21
46 21
36 22
33 22
29 23
50 23
30 23
43 23
37 24
32 24
25 24
33 24
37 25
26 25
41 25
30 25
33 25
31 26
31 26
34 26
36 26
29 26
33 26
30 26
28 26
31 26
26 27
31 27
38 27
37 28
30 28
33 28
29 28
34 28
33 28
27 28
30 28
27 28
29 29
36 29
33 30
27 30
31 30
30
31

In: Statistics and Probability

The length of a species of fish is to be represented as a function of the...

The length of a species of fish is to be represented as a function of the age (measured in days) and water temperature (degrees Celsius). The fish are kept in tanks at 25, 27, 29 and 31 degrees Celsius. After birth, a test specimen is chosen at random every 14 days and its length measured.

Age

Temp

Length

1

14

25

620

2

28

25

1,315

3

41

25

2,120

4

55

25

2,600

5

69

25

3,110

6

83

25

3,535

7

97

25

3,935

8

111

25

4,465

9

125

25

4,530

10

139

25

4,570

11

153

25

4,600

12

14

27

625

13

28

27

1,215

14

41

27

2,110

15

55

27

2,805

16

69

27

3,255

17

83

27

4,015

18

97

27

4,315

19

111

27

4,495

20

125

27

4,535

21

139

27

4,600

22

153

27

4,600

23

14

29

590

24

28

29

1,305

25

41

29

2,140

26

55

29

2,890

27

69

29

3,920

28

83

29

3,920

29

97

29

4,515

30

111

29

4,520

31

125

29

4,525

32

139

29

4,565

33

153

29

4,566

34

14

31

590

35

28

31

1,205

36

41

31

1,915

37

55

31

2,140

38

69

31

2,710

39

83

31

3,020

40

97

31

3,030

41

111

31

3,040

42

125

31

3,180

43

139

31

3,257

44

153

31

3,214

A. Is there evidence of collinearity between the independent variables?

Yes, temperature and length are collinear in that their correlation is quite high

Yes, temperature and age of fish are collinear

No, temperature and age have no correlation

No, temperature and length have a low correlation

Yes, Age and length have a high correlation

None of the above

B. What proportion of the variation in the response variable is explained by the regression?

About 90 percent

About 81 percent

About 85 percent

None of the above

C. The F statistic indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish is an important explanatory variable in the model

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

D. The t-test of significance indicates that:

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Age of fish contributes information in the prediction of length of fish

Length of fish contributes information in the prediction of age of fish

Length of fish contributes information in the prediction of temperature

E. The t-test of significance indicates that (same question but choose the correct answer):

The regression, as a whole, is statistically significant

More than half of the variation in Y is explained by the regression

Length of fish is an important explanatory variable in the model

Water temperature is an important explanatory variable in the model

None of the above

F. Assuming you ran the regression correctly, plot the residuals (against Y-hat). The plot shows that:

The residuals appear to curve downwards, like a bowl facing down

The residuals appear to curve upwards, like a bowl facing up (V shape)

The residuals appear to be fanning out and are mostly spread out at the end

The residuals appear random

None of the above

G. REGRESSION. Which of the following types of transformation may be appropriate given the shape of the residual plot?

Logarithmic transformation in both Y and the X variables

Quadratic transformation to correct for curvilinear relationship

No transformation is necessary

G. REGRESSION. This type of dataset is best described as a ____ and a residual problem common with this type of data is ___

Cross-sectional data; heteroscedasticity

Time series data; heteroscedasticity

Cross-sectional data; residual correlation

Time series data; residual correlation

Cross-sectional data; multicollinearity

None of the above

In: Statistics and Probability

An employee's total earnings through November 14, 2006 were $6,800. He/she earned $1,450 for the current...

An employee's total earnings through November 14, 2006 were $6,800.

He/she earned $1,450 for the current period (Nov 15-Nov 30) and has 16% federal income tax withheld.

FICA-Social Security (6.2%)

FICA-Medicare (1.45%)

FUTA (6.2% of the first $7,000 pay)

SUTA (5.4% of the first $7,000 pay) are the rates for the current period.

For the current period prepare General Journal entries for the employer payroll taxes accrued and the associated payroll tax expense

In: Accounting

Find the average annual growth rate of the dividends for each firm listed in the following...

Find the average annual growth rate of the dividends for each firm listed in the following table.

Dividend Payment per Year

Firm 2006 2007 2008 2009 2010 2011

Loewen ​$1.03 ​$1.05 ​$1.10 ​$1.20 ​ $1.27 ​ $1.40

Morse ​ $1.12 ​ $0.95 ​$0.80 ​ $1.30 ​ $1.20 ​ $1.45

Huddleston ​$1.00 ​ $2.00 ​ $3.50 ​ $3.90 ​ $4.00 ​$4.50

Meyer ​ $2.25 ​ $2.00 ​ $2.10 ​ $2.74 ​ $2.85 ​ $2.90

What is the average annual growth rate of the dividends paid by​ Loewen?

In: Finance

Write a C++ program that involves implementing the RSA cryptosystem. In practice for the encryption to...

Write a C++ program that involves implementing the RSA cryptosystem. In practice for the encryption to be secure and to handle larger messages you would need to utilize a class for large integers. However, for this assignment you can use built-in types to store integers, e.g., unsigned long long int. Also, rather than using the ASCII table for this assignment use BEARCATII, which restricts the characters to the blank character and the lower-case letters of the alphabet as follows: blank character is assigned the value 0. A, …, Z are assigned the values 1, …, 26, respectively. The message M will be represented by replacing each character in the message with its assigned integer base 27. For example, the message M = “TEST” will be represented as N = 20 5 19 20 Translating this to decimal we obtain: D = 20 + 19*27 + 5*272 + 20*273 = 397838 Note that to convert back to base 27, we simply apply the algorithm we discussed in class, i.e., the least significant digit (rightmost) is obtained by performing the operations D mod 27 and performing a recursive call with D/27. For the example above we obtain, 397838 / 27, 397838 mod 27 = 14734, 20 → 14734 / 27, 14734 mod 27, 20 = 545, 19, 20 → 545/27, 545 mod 20, 19, 20 = 20, 5, 19, 20 = N Find primes p and q by choosing positive integers at random and testing for primality using Miller-Rabin probabilistic algorithm. Your program should prompt the user to input a positive integer representing the public key e. If the user enters a number that is not relatively prime to n = pq, then have the user reenter and keep doing this until e and n are coprime, i.e., gcd(e,φ(n)) = 1. Also prompt the user to enter the message M (as a character string). For handing purposes, run your program with M = “TEST”. Output p, q, n, M, C, P where C is the encrypted message, i.e., cyber text, and P is the decrypted message, i.e., plaintext. If your program is working correctly then M should be equal to P.

In: Computer Science

Wiset Company completes these transactions during April of the current year (the terms of all its...

Wiset Company completes these transactions during April of the current year (the terms of all its credit sales are 2/10, n/30).

Apr. 2 Purchased $14,600 of merchandise on credit from Noth Company, invoice dated April 2, terms 2/10, n/60.
3 Sold merchandise on credit to Page Alistair, Invoice No. 760, for $4,700 (cost is $2,500).
3 Purchased $1,440 of office supplies on credit from Custer, Inc. Invoice dated April 2, terms n/10 EOM.
4 Issued Check No. 587 to World View for advertising expense, $934.
5 Sold merchandise on credit to Paula Kohr, Invoice No. 761, for $9,100 (cost is $6,100).
6 Received an $95 credit memorandum from Custer, Inc., for the return of some of the office supplies received on April 3.
9 Purchased $11,240 of store equipment on credit from Hal’s Supply, invoice dated April 9, terms n/10 EOM.
11 Sold merchandise on credit to Nic Nelson, Invoice No. 762, for $12,700 (cost is $6,700).
12 Issued Check No. 588 to Noth Company in payment of its April 2 invoice less the discount.
13 Received payment from Page Alistair for the April 3 sale less the discount.
13 Sold $9,500 of merchandise on credit to Page Alistair (cost is $4,100), Invoice No. 763.
14 Received payment from Paula Kohr for the April 5 sale less the discount.
16 Issued Check No. 589, payable to Payroll, in payment of sales salaries expense for the first half of the month, $10,550. Cashed the check and paid employees.
16 Cash sales for the first half of the month are $55,380 (cost is $42,900). (Cash sales are recorded daily from cash register data but are recorded only twice in this problem to reduce repetitive entries.)
17 Purchased $11,500 of merchandise on credit from Grant Company, invoice dated April 17, terms 2/10, n/30.
18 Borrowed $61,000 cash from First State Bank by signing a long-term note payable.
20 Received payment from Nic Nelson for the April 11 sale less the discount.
20 Purchased $890 of store supplies on credit from Hal’s Supply, invoice dated April 19, terms n/10 EOM.
23 Received a $1,000 credit memorandum from Grant Company for the return of defective merchandise received on April 17.
23 Received payment from Page Alistair for the April 13 sale less the discount.
25 Purchased $11,865 of merchandise on credit from Noth Company, invoice dated April 24, terms 2/10, n/60.
26 Issued Check No. 590 to Grant Company in payment of its April 17 invoice less the return and the discount.
27 Sold $3,360 of merchandise on credit to Paula Kohr, Invoice No. 764 (cost is $2,430).
27 Sold $6,500 of merchandise on credit to Nic Nelson, Invoice No. 765 (cost is $4,240).
30 Issued Check No. 591, payable to Payroll, in payment of the sales salaries expense for the last half of the month, $10,550.
30 Cash sales for the last half of the month are $76,200 (cost is $67,200).


Assume that Wiset Co. uses the perpetual inventory system.

     
Required:

1-a. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the purchases journal.
1-b. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the cash disbursements journal.
1-c. Prepare a general journal. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the general journal.
2 & 3. Enter the March 31 balances of Cash ($96,000), Inventory ($137,000), Long-Term Notes Payable ($133,000), and B. Wiset, Capital ($100,000). Post the total amounts from the journal in the following general ledger accounts and in the accounts payable subsidiary ledger accounts for Hal’s Supply, Noth Company, Grant Company and Custer, Inc.
4-a. Prepare a trial balance.
4-b. Prepare a schedule of accounts payable.

need help on all of them

In: Accounting

Wiset Company completes these transactions during April of the current year (the terms of all its...

Wiset Company completes these transactions during April of the current year (the terms of all its credit sales are 2/10, n/30).

Apr. 2 Purchased $16,000 of merchandise on credit from Noth Company, invoice dated April 2, terms 2/10, n/60.
3 Sold merchandise on credit to Page Alistair, Invoice No. 760, for $5,900 (cost is $3,400).
3 Purchased $1,500 of office supplies on credit from Custer, Inc. Invoice dated April 2, terms n/10 EOM.
4 Issued Check No. 587 to World View for advertising expense, $879.
5 Sold merchandise on credit to Paula Kohr, Invoice No. 761, for $9,200 (cost is $7,500).
6 Received an $80 credit memorandum from Custer, Inc., for the return of some of the office supplies received on April 3.
9 Purchased $12,095 of store equipment on credit from Hal’s Supply, invoice dated April 9, terms n/10 EOM.
11 Sold merchandise on credit to Nic Nelson, Invoice No. 762, for $11,400 (cost is $7,300).
12 Issued Check No. 588 to Noth Company in payment of its April 2 invoice less the discount.
13 Received payment from Page Alistair for the April 3 sale less the discount.
13 Sold $7,000 of merchandise on credit to Page Alistair (cost is $4,500), Invoice No. 763.
14 Received payment from Paula Kohr for the April 5 sale less the discount.
16 Issued Check No. 589, payable to Payroll, in payment of sales salaries expense for the first half of the month, $11,400. Cashed the check and paid employees.
16 Cash sales for the first half of the month are $54,570 (cost is $44,500). (Cash sales are recorded daily from cash register data but are recorded only twice in this problem to reduce repetitive entries.)
17 Purchased $11,900 of merchandise on credit from Grant Company, invoice dated April 17, terms 2/10, n/30.
18 Borrowed $73,000 cash from First State Bank by signing a long-term note payable.
20 Received payment from Nic Nelson for the April 11 sale less the discount.
20 Purchased $820 of store supplies on credit from Hal’s Supply, invoice dated April 19, terms n/10 EOM.
23 Received a $1,100 credit memorandum from Grant Company for the return of defective merchandise received on April 17.
23 Received payment from Page Alistair for the April 13 sale less the discount.
25 Purchased $11,195 of merchandise on credit from Noth Company, invoice dated April 24, terms 2/10, n/60.
26 Issued Check No. 590 to Grant Company in payment of its April 17 invoice less the return and the discount.
27 Sold $3,410 of merchandise on credit to Paula Kohr, Invoice No. 764 (cost is $2,700).
27 Sold $6,100 of merchandise on credit to Nic Nelson, Invoice No. 765 (cost is $5,450).
30 Issued Check No. 591, payable to Payroll, in payment of the sales salaries expense for the last half of the month, $11,400.
30 Cash sales for the last half of the month are $75,200 (cost is $65,500).


Assume that Wiset Co. uses the perpetual inventory system.

     
Required:

1-a. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the purchases journal.
1-b. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the cash disbursements journal.
1-c. Prepare a general journal. Review the April transactions of Wiset Company and enter those transactions that should be journalized in the general journal.
2 & 3. Enter the March 31 balances of Cash ($98,000), Inventory ($138,000), Long-Term Notes Payable ($136,000), and B. Wiset, Capital ($100,000). Post the total amounts from the journal in the following general ledger accounts and in the accounts payable subsidiary ledger accounts for Hal’s Supply, Noth Company, Grant Company and Custer, Inc.
4-a. Prepare a trial balance.
4-b. Prepare a schedule of accounts payable.

In: Accounting

Determine if there is a correlation between weight and systolic and diastolic pressure. Normal blood pressure...

Determine if there is a correlation between weight and systolic and diastolic pressure.


Normal blood pressure 110/70 to 140/90

Girls
Weight and pressure
1. 117 (122/79)
2. 77 (110/70)
3. 115(121/80)
4. 147 (119/79)
5. 79 (109/70)
6. 117 (125/78)
7. 60 (112/71)
8. 130 (121/80)
9. 105 (122/80)
10. 94 (120/80)

Boys
Weight and pressure
1. 165 (126/78)
2. 147 (125/78)
3. 160 (120/74)
4. 168 (121/76)
5. 158 (125/80)
6. 187 (140/91)
7. 170 (131/82)
8. 145 (130/80)
9. 144 (126/78)
10. 153 (127/78)

In: Statistics and Probability

For the data in Question 3 of Chapter 18, calculate 6sigma^, Cp, and Cpk. Interpret the...

For the data in Question 3 of Chapter 18, calculate 6sigma^, Cp, and Cpk. Interpret the indices. The specification limits are 50 ± 0.5.

Chapter 18 data:

Subgroup X Bar Range
1

50.3

.73
2 49.6 .75
3 50.8 .79
4 50.9 .74
5 49.8 .72
6 50.5 .73
7 50.2 .71
8 49.9 .70
9 50.0 .65
10 50.1 .67
11 50.2 .65
12 50.5 .67
13 50.4 .68
14 50.8 .70
15 50.0 .65
16 49.9 .66
17 50.4 .67
18 50.5 .68
19 50.7 .70
20 50.2 .65
21 49.9 .60
22 50.1 .64
23 49.5 .60
24 50.0 .62
25 50.3 .60

In: Statistics and Probability

6. Consider the following data of the number of hours 12 students spent online during the...

6. Consider the following data of the number of hours 12 students spent online during the weekend and the scores of each student who took a test the followingMonday.

Hrs spent online(x)

0

1

2

3

3

5

5

5

6

7

7

10

Test scores(y)

96

85

82

74

95

68

76

84

58

65

75

50

a. Find the sample linear correlation coefficient and interpret it.

b. Is the population correlation coefficient significant? [ use α= 0.05]

c. Find the equation of the regression line. What is the slope of the line? Interpret

this value in the context?

  1. What is the coefficient of determination? Interpret the result?

  2. If ? is 3.5 hours, what would you expect ? to be?

  3. If ? is 5 hours, what would you expect ? to be?

  4. g. If ? is 20 hours, what would you expect ? to be?

In: Statistics and Probability