The following observations were made for a series of five oil drops in an experiment similar to Millikan’s (see Figure 2-8). Drop 1 carried a charge of drops 2 and 3 each carried the charge of drop 1; drop 4 carried the charge of drop 1; drop 5 had a charge four times that of drop 1. Are these data consistent with the value of the electronic charge given in the text? Could Millikan have inferred the charge on the electron from this particular series of data? Explain.

In: Chemistry
Tommy is examining some risk-free Singapore government securities. The yields to maturity on three government bonds with maturities of 1, 2 and 3 years are respectively 3%, 4% and 6%. The bonds all pay an annual coupon and have the same coupon rate of 1% and a face value of $1,000. (a) Calculate the prices of the three (3) bonds. (b) (i) Calculate the expected 1-year interest rate for year 2. (ii) Calculate the expected 1-year interest rate for year 3
In: Finance
Evaluate the following expressions.
a. Summation from k equals 1 to 18 k
b. Summation from k equals 1 to 7 left parenthesis 4 k plus 1 right parenthesis
c. Summation from k equals 1 to 6 k squared
d. Summation from n equals 1 to 8 left parenthesis 1 plus n squared right parenthesis
e. Summation from m equals 1 to 4 StartFraction 5 m plus 5 Over 7 EndFraction
f. Summation from j equals 1 to 3 left parenthesis 3 j minus 7 right parenthesis
g. Summation from k equals 1 to 8 k left parenthesis 7 k plus 6 right parenthesis
h. Summation from n equals 0 to 4 sine StartFraction n pi Over 2 EndFraction
In: Math
The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1) is the square footage, the second independent variable (x2) is the number of bedrooms, and the third independent variable (x3) is the age of the house.
| Square Feet | Number of Bedrooms | Age | Selling Price |
|---|---|---|---|
| 2848 | 4 | 6 | 242100 |
| 1270 | 4 | 7 | 113600 |
| 1825 | 4 | 8 | 281700 |
| 2235 | 5 | 5 | 199100 |
| 2072 | 4 | 2 | 307500 |
| 2197 | 4 | 14 | 278800 |
| 2184 | 4 | 5 | 275300 |
| 1764 | 4 | 7 | 107200 |
| 2276 | 4 | 14 | 103000 |
Step 1 of 2 :
Find the p-value for the regression equation that fits the given data. Round your answer to four decimal places.
Step 2 of 2:
Determine if a statistically significant linear relationship exists between the independent and dependent variables at the 0.05 level of significance. If the relationship is statistically significant, identify the multiple regression equation that best fits the data, rounding the answers to three decimal places. Otherwise, indicate that there is not enough evidence to show that the relationship is statistically significant.
In: Statistics and Probability
It is reported in USA Today that the average flight cost nationwide is $442.28. You have never paid close to that amount and you want to perform a hypothesis test that the true average is actually greater than $442.28. What are the appropriate hypotheses for this test?
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Question 2 (1 point)
In the year 2000, the average vehicle had a fuel economy of 23.13 MPG. You are curious as to whether the average in the present day is greater than the historical value. The hypotheses for this scenario are as follows: Null Hypothesis: μ ≤ 23.13, Alternative Hypothesis: μ > 23.13. A random sample of 43 vehicles shows an average economy of 24.15 MPG with a standard deviation of 6.69 MPG. What is the test statistic and p-value for this test?
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Question 3 (1 point)
Consumers Energy states that the average electric bill across the state is $41.553. You want to test the claim that the average bill amount is actually greater than $41.553. The hypotheses for this situation are as follows: Null Hypothesis: μ ≤ 41.553, Alternative Hypothesis: μ > 41.553. A random sample of 47 customer's bills shows an average cost of $43.307 with a standard deviation of $8.0202. What is the test statistic and p-value for this test?
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Question 4 (1 point)
A medical researcher wants to determine if the average hospital stay of patients that undergo a certain procedure is different from 8.7 days. The hypotheses for this scenario are as follows: Null Hypothesis: μ = 8.7, Alternative Hypothesis: μ ≠ 8.7. If the researcher takes a random sample of patients and calculates a p-value of 0.0197 based on the data, what is the appropriate conclusion? Conclude at the 5% level of significance.
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In: Statistics and Probability
Solve the equations
(a) log2 x + log4 x + log16 x=7
(b) 5e2x+4 =8
(c) 2 + log V1 + x + 3log V1 - x = log V1 - x2
(d) 45 - 9x = 1 / 8x-2
In: Math
| Customer | Type of Customer | Items | Net Sales | Method of Payment | Gender | Marital Status | Age |
| 1 | Regular | 1 | 49.5 | Discover | Male | Married | 22 |
| 2 | Promotional | 1 | 112.4 | Proprietary Card | Female | Married | 26 |
| 3 | Regular | 1 | 32.5 | Proprietary Card | Female | Married | 22 |
| 4 | Promotional | 5 | 110.4 | Proprietary Card | Female | Married | 18 |
| 5 | Regular | 2 | 64 | MasterCard | Female | Married | 24 |
| 6 | Regular | 1 | 54.5 | MasterCard | Female | Married | 34 |
| 7 | Promotional | 2 | 88 | Proprietary Card | Female | Married | 20 |
| 8 | Regular | 1 | 32.5 | Visa | Female | Married | 30 |
| 9 | Promotional | 2 | 66.52 | Proprietary Card | Female | Married | 36 |
| 10 | Regular | 1 | 54.5 | Proprietary Card | Female | Married | 26 |
| 11 | Regular | 1 | 39.5 | Proprietary Card | Female | Married | 38 |
| 12 | Promotional | 1 | 41.6 | Proprietary Card | Female | Married | 30 |
| 13 | Promotional | 9 | 170.4 | Visa | Female | Married | 30 |
| 14 | Promotional | 2 | 74.5 | Visa | Female | Married | 36 |
| 15 | Regular | 1 | 59.5 | Visa | Male | Single | 44 |
| 16 | Promotional | 2 | 81.4 | Proprietary Card | Male | Single | 26 |
| 17 | Promotional | 3 | 104 | Proprietary Card | Female | Single | 32 |
| 18 | Regular | 3 | 64.5 | Discover | Female | Married | 30 |
| 19 | Promotional | 2 | 48.5 | MasterCard | Female | Married | 22 |
| 20 | Promotional | 6 | 54.8 | Proprietary Card | Female | Married | 46 |
| 21 | Promotional | 1 | 41.6 | Proprietary Card | Female | Single | 18 |
| 22 | Promotional | 4 | 80.82 | Proprietary Card | Female | Married | 28 |
| 23 | Promotional | 7 | 276 | American Express | Female | Married | 40 |
| 24 | Regular | 2 | 84 | Proprietary Card | Female | Married | 32 |
| 25 | Promotional | 2 | 49.5 | Visa | Male | Married | 38 |
| 26 | Promotional | 1 | 40.02 | Proprietary Card | Female | Married | 50 |
| 27 | Regular | 1 | 54.5 | Proprietary Card | Female | Married | 44 |
| 28 | Promotional | 5 | 202.8 | Proprietary Card | Female | Single | 32 |
| 29 | Promotional | 3 | 81.2 | Proprietary Card | Female | Married | 22 |
| 30 | Promotional | 1 | 28 | Proprietary Card | Female | Married | 60 |
| 31 | Promotional | 2 | 73.2 | MasterCard | Female | Married | 18 |
| 32 | Regular | 1 | 85 | Proprietary Card | Female | Married | 42 |
| 33 | Promotional | 3 | 73.2 | Proprietary Card | Female | Married | 34 |
| 34 | Regular | 1 | 50 | Proprietary Card | Female | Married | 24 |
| 35 | Promotional | 5 | 115.5 | MasterCard | Female | Married | 46 |
| 36 | Regular | 1 | 39.5 | MasterCard | Male | Single | 26 |
| 37 | Regular | 2 | 112.5 | Visa | Female | Single | 32 |
| 38 | Promotional | 6 | 127.5 | Proprietary Card | Female | Married | 40 |
| 39 | Promotional | 5 | 23.23 | Proprietary Card | Female | Married | 34 |
| 40 | Regular | 2 | 62.5 | Proprietary Card | Female | Married | 48 |
| 41 | Promotional | 13 | 208.8 | Proprietary Card | Female | Married | 32 |
| 42 | Promotional | 4 | 29.5 | Visa | Female | Married | 36 |
| 43 | Regular | 2 | 133.5 | Proprietary Card | Female | Married | 38 |
| 44 | Promotional | 1 | 72.4 | Proprietary Card | Female | Married | 44 |
| 45 | Promotional | 2 | 33.8 | Proprietary Card | Female | Married | 28 |
| 46 | Promotional | 2 | 49.6 | Proprietary Card | Female | Married | 50 |
| 47 | Regular | 1 | 35 | MasterCard | Female | Married | 36 |
| 48 | Promotional | 3 | 73.64 | Proprietary Card | Female | Married | 20 |
| 49 | Promotional | 1 | 24.82 | Proprietary Card | Female | Married | 22 |
| 50 | Promotional | 9 | 155.2 | MasterCard | Female | Married | 36 |
| 51 | Promotional | 6 | 186.62 | Proprietary Card | Female | Married | 28 |
| 52 | Promotional | 5 | 128.8 | Proprietary Card | Male | Married | 58 |
| 53 | Regular | 1 | 68 | Discover | Female | Single | 68 |
| 54 | Regular | 2 | 84 | Visa | Female | Single | 84 |
| 55 | Regular | 2 | 59.5 | MasterCard | Female | Married | 22 |
| 56 | Promotional | 3 | 151.6 | Proprietary Card | Female | Married | 28 |
| 57 | Promotional | 6 | 133.1 | Proprietary Card | Female | Married | 44 |
| 58 | Promotional | 2 | 90.4 | Proprietary Card | Female | Married | 38 |
| 59 | Promotional | 4 | 75.2 | MasterCard | Female | Married | 36 |
| 60 | Promotional | 4 | 123 | Proprietary Card | Female | Single | 40 |
| 61 | Promotional | 1 | 118.8 | Proprietary Card | Female | Married | 36 |
| 62 | Promotional | 3 | 69.91 | Proprietary Card | Female | Single | 20 |
| 63 | Promotional | 5 | 63.6 | Proprietary Card | Female | Married | 44 |
| 64 | Promotional | 1 | 41.6 | Proprietary Card | Female | Single | 32 |
| 65 | Promotional | 2 | 59.5 | Proprietary Card | Female | Married | 38 |
| 66 | Promotional | 1 | 49.6 | Proprietary Card | Female | Married | 52 |
| 67 | Promotional | 2 | 69.5 | Proprietary Card | Female | Married | 24 |
| 68 | Promotional | 5 | 156.8 | Proprietary Card | Female | Married | 18 |
| 69 | Promotional | 2 | 57.2 | Proprietary Card | Male | Married | 36 |
| 70 | Promotional | 8 | 105.05 | Proprietary Card | Female | Married | 44 |
| 71 | Promotional | 5 | 165.32 | Proprietary Card | Female | Married | 20 |
| 72 | Promotional | 4 | 68 | MasterCard | Female | Married | 22 |
| 73 | Regular | 1 | 79 | Proprietary Card | Female | Single | 54 |
| 74 | Promotional | 2 | 56.5 | Proprietary Card | Female | Married | 22 |
| 75 | Promotional | 2 | 55.22 | Proprietary Card | Female | Married | 64 |
| 76 | Promotional | 4 | 94.74 | Proprietary Card | Female | Married | 52 |
| 77 | Regular | 2 | 49 | Proprietary Card | Female | Married | 32 |
| 78 | Promotional | 4 | 121.14 | Proprietary Card | Female | Married | 18 |
| 79 | Promotional | 3 | 96.8 | Proprietary Card | Female | Married | 28 |
| 80 | Regular | 2 | 99 | Discover | Female | Married | 44 |
| 81 | Promotional | 2 | 88 | MasterCard | Female | Married | 58 |
| 82 | Promotional | 6 | 63.2 | Proprietary Card | Female | Single | 20 |
| 83 | Promotional | 4 | 68.5 | Visa | Female | Married | 26 |
| 84 | Promotional | 3 | 56 | Proprietary Card | Female | Married | 34 |
| 85 | Regular | 2 | 47.5 | Visa | Female | Married | 34 |
| 86 | Promotional | 1 | 30.8 | Proprietary Card | Female | Married | 52 |
| 87 | Regular | 6 | 154 | MasterCard | Female | Single | 38 |
| 88 | Regular | 4 | 117 | Proprietary Card | Female | Married | 26 |
| 89 | Promotional | 1 | 41.6 | Proprietary Card | Female | Single | 50 |
| 90 | Promotional | 6 | 67.6 | Proprietary Card | Female | Married | 32 |
| 91 | Promotional | 4 | 105.2 | Proprietary Card | Female | Married | 44 |
| 92 | Promotional | 1 | 32.42 | Proprietary Card | Female | Married | 44 |
| 93 | Regular | 5 | 169.75 | Proprietary Card | Female | Married | 62 |
| 94 | Promotional | 17 | 239.5 | Proprietary Card | Female | Married | 20 |
| 95 | Regular | 3 | 76 | American Express | Female | Married | 36 |
| 96 | Regular | 1 | 49.5 | MasterCard | Female | Married | 34 |
| 97 | Promotional | 9 | 263 | Proprietary Card | Female | Married | 20 |
| 98 | Promotional | 10 | 297.59 | Proprietary Card | Female | Married | 42 |
| 99 | Promotional | 2 | 57.6 | Proprietary Card | Female | Married | 20 |
| 100 | Promotional | 1 | 38.44 | Proprietary Card | Female | Married | 34 |
a) Using the empirical rule, 95% of female promotional customer ages should be between what two values? Either show work or explain how your answer was calculated.
b)Using the empirical rule, 68% of items purchased should be between what two values? Either show work or explain how your answer was calculated.
In: Math
| Recipe Detail and Cost Card | S.P. | $7.50 | |||||||
| Cost | |||||||||
| Item | Beef Stew | Menu | Lunch | F.C.% | |||||
| Yield | 25 Portions | Portion Size | 8 oz. | Date | 8-Oct | ||||
| Ingredients | Quantity | Unit | Cost/Unit | Ext. | |||||
| Beef chuck, boneless | 6 lb. | lb. | $ 5.20 | ||||||
| Olive Oil | 4 oz. | qt. | $ 4.00 | ||||||
| Onion, diced | 1 lb | lb. | $ 1.60 | ||||||
| Garlic, chopped | 1/4 cup | 1/4 cup | $ 1.50 | ||||||
| Flour | 4 oz. | lb. | $ 6.00 | ||||||
| Tomato puree | 8 oz. | 8 oz. | $ 2.30 | ||||||
| Brown Stock | 2 Qt. | Gal | $ 6.00 | ||||||
| bay leaf | 1 | $ 0.05 | |||||||
| Celery, EP | 1 lb. | lb. | $ 1.30 | ||||||
| Carrots, EP | 1 1/2 lb. | lb. | $ 2.50 | ||||||
| Pearl Onions | 1 lb | lb. | $ 2.80 | ||||||
| Tomatoes, chopped | 8 oz. | lb. | $ 1.40 | ||||||
| Peas, Frozen | 8 oz. | 8 oz Pack | $ 1.30 | ||||||
| Total | $ - | ||||||||
| Procedure: | |||||||||
| Cut meat into cubes and brown meat in oil. Add onion and garlic and cook until onion is brown. | |||||||||
| Add flower to meat and make a roux. Add brown stock and simmer for 1 hour or until meat is tender. | |||||||||
| Dice celery and carrots, add onions and cook in salted water until tender. Add celery, carrots, onions, | |||||||||
|
and tomatoes to stew. Just before serving garnish with peas. Need to calculate Cost and F.C % with info provided. Also from the table of ingredients calculate the Extension and total only. |
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In: Accounting
Part 3: Anagram Arranger (20 pts)
Overview
Specifications
Welcome to the Anagram Arranger!
Please enter the name of your input file: spooky.txt
Word #1 is zombie
1: z
2: o
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 1
2
z o m b i e
^ ^
Are these the letters you wish to swap? (y/n): y
The new word is: o z m b i e
Want to keep rearranging? (y/n): y
1: o
2: z
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 3
5
o z m b i e
^
^
Are these the letters you wish to swap? (y/n): y
The new word is: o z i b m e
Want to keep rearranging? (y/n): n
Word #2 is mummy
1: m
2: u
3: m
4: m
5: y
Enter the position numbers of the two letters you wish to
swap: etc...
A complete Example:
This example assumes an input file named words.txt with the following content - however, the user should be able to enter any file name and the file can contain any number of words:
Spring
Summer
Fall
Winter
Output of running Anagram.java
Welcome to the Anagram Arranger!
Please enter the name of your input file: abc.txt
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file: 123.txt
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file: words.txt
Word #1 is Spring
1: S
2: p
3: r
4: i
5: n
6: g
Enter the position numbers of the two letters you wish to swap: 3
5
S p r i n g
^
^
Are these the letters you wish to swap? (y/n): y
The new word is: S p n i r g
Want to keep rearranging? (y/n): yes
1: S
2: p
3: n
4: i
5: r
6: g
Enter the position numbers of the two letters you wish to swap: 1
6
S p n i r g
^
^
Are these the letters you wish to swap? (y/n): yes
The new word is: g p n i r S
Want to keep rearranging? (y/n): n
Word #2 is Summer
1: S
2: u
3: m
4: m
5: e
6: r
Enter the position numbers of the two letters you wish to swap: 2
3
S u m m e r
^ ^
Are these the letters you wish to swap? (y/n): Yes
The new word is: S m u m e r
Want to keep rearranging? (y/n): Yes
1: S
2: m
3: u
4: m
5: e
6: r
Enter the position numbers of the two letters you wish to swap: 4
5
S m u m e r
^
^
Are these the letters you wish to swap? (y/n): y
The new word is: S m u e m r
Want to keep rearranging? (y/n): n
Word #3 is Fall
1: F
2: a
3: l
4: l
Enter the position numbers of the two letters you wish to swap: 1
2
F a l l
^ ^
Are these the letters you wish to swap? (y/n): y
The new word is: a F l l
Want to keep rearranging? (y/n): n
Word #4 is Winter
1: W
2: i
3: n
4: t
5: e
6: r
Enter the position numbers of the two letters you wish to swap: 1
3
W i n t e r
^ ^
Are these the letters you wish to swap? (y/n): n
1: W
2: i
3: n
4: t
5: e
6: r
Enter the position numbers of the two letters you wish to swap: 1
4
W i n t e r
^ ^
Are these the letters you wish to swap? (y/n): y
The new word is: t i n W e r
Want to keep rearranging? (y/n): y
1: t
2: i
3: n
4: W
5: e
6: r
Enter the position numbers of the two letters you wish to swap: 2
5
t i n W e r
^
^
Are these the letters you wish to swap? (y/n): y
The new word is: t e n W i r
Want to keep rearranging? (y/n): y
1: t
2: e
3: n
4: W
5: i
6: r
Enter the position numbers of the two letters you wish to swap: 3
4
t e n W i r
^ ^
Are these the letters you wish to swap? (y/n): y
The new word is: t e W n i r
Want to keep rearranging? (y/n): n
Bye!
Corresponding output.txt for above
example:
g p n i r S
S m u e m r
a F l l
t e W n i r
Required Error Checking
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file:
Error Checking Example:
Welcome to the Anagram Arranger!
Please enter the name of your input file: ddd.txt
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file: nnn.txt
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file: splooky.txt
Sorry. I cannot find a file by that name!
Please enter the name of a valid input file: spooky.txt
Word #1 is zombie
1: z
2: o
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 4
2
Invalid entry!
1: z
2: o
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 1
10
Invalid entry!
1: z
2: o
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 2
2
Invalid entry!
1: z
2: o
3: m
4: b
5: i
6: e
Enter the position numbers of the two letters you wish to swap: 2
3
z o m b i e
^ ^
Are these the letters you wish to swap? (y/n): yes
The new word is: z m o b i e
Want to keep rearranging? (y/n): etc.
In: Computer Science
In each reaction box, place the best reagent and conditions from the list below. \begin{array}{lll} \mathrm{H}_{2} , Lindlar catalyst & \mathrm{H}_{2} \mathrm{O}, \mathrm{H}_{2} \mathrm{SO}_{4}, \mathrm{HgSO}_{4} & \mathrm{CH}_{3} \mathrm{CH}_{2} \mathrm{Br} \\ \hline \mathrm{BH}_{3} / \mathrm{THF} & \mathrm{HBr} 2-equiv. & \mathrm{CH}_{3} \mathrm{CH}_{2} \mathrm{CH}_{2} \mathrm{Br} \\ \mathrm{H}_{2} \mathrm{O}_{2} /NaOH & \mathrm{CH}_{3} \mathrm{Br} & \mathrm{Br}_{2} 1-equiv. \\ \mathrm{NaNH}_{2} & \mathrm{NaOH} & \mathrm{Br}_{2} 2 -equiv. \end{array}
In: Chemistry