Questions
Given vector s = [4, -5, 7], u = [-6, 8, 11], and v = [-5,...

Given vector s = [4, -5, 7], u = [-6, 8, 11], and v = [-5, 3, -7]
a. Let r1(t) be the vector equation through s and u. Express the vector equation r(t) in two ways and then find r(1); r(-5); r(9)
b. Let r2(t) be the vector equation through u and parallel to r1(t), Express r2(t) in two forms and then find r(-3); r(13); r(2)
c. Let w = 2s -4v, find r(t) through u and v

In: Advanced Math

20 gtt/mL, 320 drops/minute = ______mL/min a.70 b.24 c.16 d.144 15 gtt/mL, 300 drops/minute = ______mL/min...

20 gtt/mL, 320 drops/minute = ______mL/min

a.70

b.24

c.16

d.144

15 gtt/mL, 300 drops/minute = ______mL/min

a. 20

b. 40

c.120

d. 32

A cat with a gastrotomy tube must receive 300 kcal daily. A 15-oz can of the prescribed diet has 1500 kcal. The prescribed diet must be diluted 50:50 with water to flow through the tube, and a maximum volume of 45 ml liquid can be given at one feeding. Approximately how many feedings does this cat need daily?

a. 10

b. 8

c. 4

d. 2

A patient with an esophagostomy tube must receive 200 kcal daily. A 12-oz can of the prescribed diet has 1200 kcal. The prescribed diet must be diluted 50:50 with water to flow through the tube, and a maximum volume of 30 ml liquid can be given at one feeding. Approximately how many feedings does this patient need daily?

a. 4

b. 3

c. 2

d. 6

In: Nursing

4. Construct a frequency distribution, find the summary statistics (including the quartiles) for customer age, and...

4. Construct a frequency distribution, find the summary statistics (including the quartiles) for customer age, and graph by each type of customer (regular or promotion). Comment on the shape of the distribution for each type and discuss similarities or differences if any. (Think whether you should create an ungrouped or grouped frequency distribution.) Label the graphs completely.

5. Construct a box-and-whisker plot and find the summary statistics (including the quartiles) for net sales by each type of customer (regular or promotion). Make sure that you format the x-axes on each plot and compare the plots using the same scale. Comment on the shape of the distribution for each type and compare.

Customer Type of Customer Items Net Sales Method of Payment Gender Marital Status Age
1 Regular 1 49.50 Discover Male Married 22
2 Promotional 1 112.40 Proprietary Card Female Married 26
3 Regular 1 32.50 Proprietary Card Female Married 22
4 Promotional 5 110.40 Proprietary Card Female Married 18
5 Regular 2 64.00 MasterCard Female Married 24
6 Regular 1 54.50 MasterCard Female Married 34
7 Promotional 2 88.00 Proprietary Card Female Married 20
8 Regular 1 32.50 Visa Female Married 30
9 Promotional 2 66.52 Proprietary Card Female Married 36
10 Regular 1 54.50 Proprietary Card Female Married 26
11 Regular 1 39.50 Proprietary Card Female Married 38
12 Promotional 1 41.60 Proprietary Card Female Married 30
13 Promotional 9 170.40 Visa Female Married 30
14 Promotional 2 74.50 Visa Female Married 36
15 Regular 1 59.50 Visa Male Single 44
16 Promotional 2 81.40 Proprietary Card Male Single 26
17 Promotional 3 104.00 Proprietary Card Female Single 32
18 Regular 3 64.50 Discover Female Married 30
19 Promotional 2 48.50 MasterCard Female Married 22
20 Promotional 6 54.80 Proprietary Card Female Married 46
21 Promotional 1 41.60 Proprietary Card Female Single 18
22 Promotional 4 80.82 Proprietary Card Female Married 28
23 Promotional 7 276.00 American Express Female Married 40
24 Regular 2 84.00 Proprietary Card Female Married 32
25 Promotional 2 49.50 Visa Male Married 38
26 Promotional 1 40.02 Proprietary Card Female Married 50
27 Regular 1 54.50 Proprietary Card Female Married 44
28 Promotional 5 202.80 Proprietary Card Female Single 32
29 Promotional 3 81.20 Proprietary Card Female Married 22
30 Promotional 1 28.00 Proprietary Card Female Married 60
31 Promotional 2 73.20 MasterCard Female Married 18
32 Regular 1 85.00 Proprietary Card Female Married 42
33 Promotional 3 73.20 Proprietary Card Female Married 34
34 Regular 1 50.00 Proprietary Card Female Married 24
35 Promotional 5 115.50 MasterCard Female Married 46
36 Regular 1 39.50 MasterCard Male Single 26
37 Regular 2 112.50 Visa Female Single 32
38 Promotional 6 127.50 Proprietary Card Female Married 40
39 Promotional 5 23.23 Proprietary Card Female Married 34
40 Regular 2 62.50 Proprietary Card Female Married 48
41 Promotional 13 208.80 Proprietary Card Female Married 32
42 Promotional 4 29.50 Visa Female Married 36
43 Regular 2 133.50 Proprietary Card Female Married 38
44 Promotional 1 72.40 Proprietary Card Female Married 44
45 Promotional 2 33.80 Proprietary Card Female Married 28
46 Promotional 2 49.60 Proprietary Card Female Married 50
47 Regular 1 35.00 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 9 155.20 MasterCard Female Married 36
51 Promotional 6 186.62 Proprietary Card Female Married 28
52 Promotional 5 128.80 Proprietary Card Male Married 58
53 Regular 1 68.00 Discover Female Single 68
54 Regular 2 84.00 Visa Female Single 84
55 Regular 2 59.50 MasterCard Female Married 22
56 Promotional 3 151.60 Proprietary Card Female Married 28
57 Promotional 6 133.10 Proprietary Card Female Married 44
58 Promotional 2 90.40 Proprietary Card Female Married 38
59 Promotional 4 75.20 MasterCard Female Married 36
60 Promotional 4 123.00 Proprietary Card Female Single 40
61 Promotional 1 118.80 Proprietary Card Female Married 36
62 Promotional 3 69.91 Proprietary Card Female Single 20
63 Promotional 5 63.60 Proprietary Card Female Married 44
64 Promotional 1 41.60 Proprietary Card Female Single 32
65 Promotional 2 59.50 Proprietary Card Female Married 38
66 Promotional 1 49.60 Proprietary Card Female Married 52
67 Promotional 2 69.50 Proprietary Card Female Married 24
68 Promotional 5 156.80 Proprietary Card Female Married 18
69 Promotional 2 57.20 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 68.00 MasterCard Female Married 22
73 Regular 1 79.00 Proprietary Card Female Single 54
74 Promotional 2 56.50 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 49.00 Proprietary Card Female Married 32
78 Promotional 4 121.14 Proprietary Card Female Married 18
79 Promotional 3 96.80 Proprietary Card Female Married 28
80 Regular 2 99.00 Discover Female Married 44
81 Promotional 2 88.00 MasterCard Female Married 58
82 Promotional 6 63.20 Proprietary Card Female Single 20
83 Promotional 4 68.50 Visa Female Married 26
84 Promotional 3 56.00 Proprietary Card Female Married 34
85 Regular 2 47.50 Visa Female Married 34
86 Promotional 1 30.80 Proprietary Card Female Married 52
87 Regular 6 154.00 MasterCard Female Single 38
88 Regular 4 117.00 Proprietary Card Female Married 26
89 Promotional 1 41.60 Proprietary Card Female Single 50
90 Promotional 6 67.60 Proprietary Card Female Married 32
91 Promotional 4 105.20 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 17 239.50 Proprietary Card Female Married 20
95 Regular 3 76.00 American Express Female Married 36
96 Regular 1 49.50 MasterCard Female Married 34
97 Promotional 9 263.00 Proprietary Card Female Married 20
98 Promotional 10 297.59 Proprietary Card Female Married 42
99 Promotional 2 57.60 Proprietary Card Female Married 20
100 Promotional 1 38.44 Proprietary Card Female Married 34

In: Statistics and Probability

Why are some (not all) college graduates have a difficult time finding a job that is...

Why are some (not all) college graduates have a difficult time finding a job that is a good match with their skills (education)? Also, why are some college graduates paid less that other college graduates when they enter the labor market? How would you solve the above two problems if you were in charge.

In: Economics

11.You measure the weight of 37 turtles, and find they have a mean weight of 52...

11.You measure the weight of 37 turtles, and find they have a mean weight of 52 ounces. Assume the population standard deviation is 10.9 ounces. Based on this, what is the maximal margin of error associated with a 92% confidence interval for the true population mean turtle weight.
Give your answer as a decimal, to two places

12.In a survey, 18 people were asked how much they spent on their child's last birthday gift. The results were roughly shaped as a normal curve with a mean of $45 and standard deviation of $8. Find the margin of error at a 80% confidence level.

13. In a survey, 20 people were asked how much they spent on their child's last birthday gift. The results were roughly shaped as a normal curve with a mean of $34 and standard deviation of $12. Construct a confidence interval at a 80% confidence level.

Give your answers to one decimal place.

.................. ± ..............

In: Math

. There are ba (= 14) ways to arrange 1, 2, 3, ..., 8 in two...

. There are ba (= 14) ways to arrange 1, 2, 3, ..., 8 in two rows of four so that (1) the integers increase in value as each row is read, from left to right, and (2) in any column the smaller integer is on top. Find, as in part (d) of Example 1.43, a) the arrangements that correspond to each of the fol- lowing. 1) 10110010 i) 11001010 lli) 11101000 b) the lists of four l's and four O's that correspond to each of these arrangements of 1, 2, 3, ...,8. 1) 1 345 ii) 1 2 37 fii) 1 2 4 5 2 6 7 8 4 5 6 8 3 6 7 8

In: Statistics and Probability

Now, consider the following age-specific data: POPULATION A POPULATION B    Age # Deaths Pop Size...

Now, consider the following age-specific data:

POPULATION A

POPULATION B

  

Age

# Deaths

Pop Size

Rate/10,000

# Deaths

Pop Size

Rate/10,000

20-30

400

10,000

400

80

2,000

400

30-40

600

10,000

600

300

5,000

600

40-50

800

10,000

800

800

10,000

800

50-60

1,000

10,000

1,000

1,500

15,000

1,000

60-70

1,200

10,000

1,200

2,400

20,000

1,200

1. Look at the age-specific rates in the table above. Compare the age-specific rates between the two populations? What do you conclude (1pt)?

2.Explain any difference in conclusion when comparing the crude and age-specific rates and discuss briefly the importance of considering age in this instance(2pts)

In: Nursing

3. The lesson we learned from the circular flow model was the fact that the GDP...

3. The lesson we learned from the circular flow model was the fact that the GDP can be measured in two equivalent ways: the expenditure approach and the incomes approach. Use the following data to answer the questions below.
National Income Accounts:
Net investment ​​​110​​Income earned but not received​​60
Depreciation​​​ 30​​Income received but not earned​​70
Exports​​​​ 50​​Personal income taxes​​​50
Imports​​​​ 30​​Employee Compensation​ 455
Government Purchases​​150​​Corporate profits​​ 60
Consumption​​​400​​Rental income 20
Indirect business taxes​​ 35 Net Interest 30
Proprietors’ income​​ 40​​Net earnings of U.S resources abroad 40
_____________________________________________________________________
a. Calculate the GDP using both approaches, and verifying that both approaches yield the same GDP value.
b. Calculate:
i) NNP =
ii) NI =
iii) PI =
iv) DI =

In: Economics

Fifteen randomly selected college students were asked to state the number of hours they slept the...

Fifteen randomly selected college students were asked to state the number of hours they slept the previous night. The resulting data are 5, 10, 7, 8, 6, 7, 7, 6, 6, 9, 4, 3, 8, 9, 7. Find the following. (Round your answers to two decimal places.)

(a) Variance s2, using formula below $ s^2 = \dfrac{\sum{(x - \overline{x})^2}}{n - 1}$ s2 =

(b) Variance s2, using formula $ s^2 = \dfrac{\sum{x^2} - \dfrac{(\sum{x})^2}{n}}{n - 1} $ s2 =

(c) Standard deviation, s

In: Statistics and Probability

A marketing researcher predicts that college students will be more likely to purchase tickets for... A...

A marketing researcher predicts that college students will be more likely to purchase tickets for... A marketing researcher predicts that college students will be more likely to purchase tickets for the next football home game if their team won (vs. lost) the last game. The researcher asked 6 WSU students their willingness to purchase tickets (1= not likely at all, 7=very likely) and 6 EWU students their willingness to purhcase tickets (1=not likely, 7=very likely) (WSU won the game in the 2018 season)

WSU: 7 6 5 7 2 4

EWU: 6 5 6 5 1 6

In answering the questions, make sure to write down the following 7 steps.

Step 1. Establish null and alternative hypotheses (as a sentance and formula)

Step 2: Calculate the degrees of freedom

Step 3: calculate the t-critical using critical t-table

Step 4: calculate the Sum of Squares deviation

Step 5: Calculate t-obtained

Step 6: Specify the critical value and the obtained value on a t-distribution curve.

In: Math