Need Chi-Square Test for Independence to determine if eating healthy and exercising reduces diastolic blood pressure.
|
Day |
BP Diastolic |
Ate Healthy and Exercised |
|
1 |
85 |
N |
|
2 |
109 |
N |
|
3 |
96 |
N |
|
4 |
92 |
N |
|
5 |
99 |
N |
|
6 |
98 |
N |
|
7 |
102 |
Y |
|
8 |
93 |
N |
|
9 |
90 |
Y |
|
10 |
84 |
N |
|
11 |
90 |
N |
|
12 |
86 |
N |
|
13 |
81 |
N |
|
14 |
77 |
Y |
|
15 |
90 |
Y |
|
16 |
86 |
Y |
|
17 |
83 |
N |
|
18 |
80 |
Y |
|
19 |
78 |
N |
|
20 |
74 |
Y |
|
21 |
72 |
Y |
|
22 |
79 |
Y |
|
23 |
84 |
Y |
|
24 |
91 |
Y |
|
25 |
85 |
Y |
|
26 |
77 |
Y |
|
27 |
78 |
Y |
|
28 |
81 |
N |
|
29 |
88 |
Y |
|
30 |
85 |
Y |
|
31 |
77 |
Y |
|
32 |
74 |
Y |
|
33 |
72 |
Y |
|
34 |
77 |
N |
|
35 |
80 |
Y |
|
36 |
81 |
Y |
|
37 |
76 |
Y |
|
38 |
78 |
Y |
|
39 |
72 |
Y |
|
40 |
73 |
Y |
|
41 |
72 |
Y |
|
42 |
79 |
Y |
|
43 |
80 |
Y |
|
44 |
84 |
Y |
|
45 |
81 |
Y |
|
46 |
78 |
Y |
|
47 |
71 |
Y |
|
48 |
73 |
Y |
|
49 |
76 |
Y |
|
50 |
75 |
Y |
|
51 |
76 |
N |
|
52 |
81 |
Y |
|
53 |
78 |
N |
|
54 |
75 |
Y |
|
55 |
77 |
Y |
|
56 |
76 |
Y |
In: Statistics and Probability
| 3. (5 pts) The following time series depicts US Total New Housing Units (in thousands), Jul2003 - Dec2005 | ||||||||||||
| Time | Period | Housing | ||||||||||
| Jul 2003 | 1 | 175.8 | a. Use Excel to calculate a simple housing index for every month, Jul2003 - Dec2005. | |||||||||
| Aug | 2 | 163.8 | Use Jul2003 as the base. | |||||||||
| Sep | 3 | 171.3 | ||||||||||
| Oct | 4 | 173.5 | ||||||||||
| Nov | 5 | 153.7 | b. Comment on the trend in the Housing Index from Jul 2003 to Dec 2005. | |||||||||
| Dec | 6 | 144.2 | Explain the meaning of your Dec2005 index value. | |||||||||
| Jan 2004 | 7 | 124.5 | ||||||||||
| Feb | 8 | 126.4 | ||||||||||
| Mar | 9 | 173.8 | ||||||||||
| Apr | 10 | 179.5 | ||||||||||
| May | 11 | 187.6 | ||||||||||
| Jun | 12 | 172.3 | ||||||||||
| Jul | 13 | 182.0 | ||||||||||
| Aug | 14 | 185.9 | ||||||||||
| Sep | 15 | 164.0 | ||||||||||
| Oct | 16 | 161.3 | ||||||||||
| Nov | 17 | 138.1 | ||||||||||
| Dec | 18 | 140.2 | ||||||||||
| Jan 2005 | 19 | 142.9 | ||||||||||
| Feb | 20 | 149.1 | ||||||||||
| Mar | 21 | 156.2 | ||||||||||
| Apr | 22 | 184.6 | ||||||||||
| May | 23 | 197.9 | ||||||||||
| Jun | 24 | 192.8 | ||||||||||
| Jul | 25 | 187.6 | ||||||||||
| Aug | 26 | 192.0 | ||||||||||
| Sep | 27 | 187.9 | ||||||||||
| Oct | 28 | 180.4 | ||||||||||
| Nov | 29 | 160.7 | ||||||||||
| Dec | 30 | 136.0 | ||||||||||
In: Statistics and Probability
Meredith, who is single, would like to contribute $6,000 to her Roth IRA. What is the maximum amount that Meredith can contribute if her AGI is $123,000?
Note: please provide your answer and explanations on Word or Excel as handwritten responses are difficult to read. Thank you.
In: Accounting
On Excel
data shows hours of experience and the corresponding quality scores for employees at a plant. The company is interested in studying the relationship between hours of experience and quality scores.
a)Compute the correlation coefficient between hours of experience and quality scores. Use Excel’s CORREL function.
b)Construct a scatter plot of quality scores vs. hours of experience. Does there appear to be a relationship? What kind?
c)Obtain a regression output that could be used to predict quality scores based on hours of experience. Based on the output, what is the regression equation?
| Hours of experience | Quality Score |
| 1 | 53 |
| 5 | 74 |
| 7 | 59 |
| 8 | 43 |
| 10 | 56 |
| 11 | 84 |
| 14 | 96 |
| 15 | 69 |
| 15 | 84 |
| 19 | 83 |
In: Operations Management
According to an airline, a particular flight is on time 88% of the time. Suppose 33 flights are randomly selected and the number of on time flights is recorded. Find the probabilities of the following events occurring.
a. All 33 flights are on time
b. Between 25 and 27 flights (inclusive) are on time
In: Statistics and Probability
Disney's Hannah Montana: The Movie opened in April 2009. The ticket sales revenue ($) for a sample of theaters is below. Use it to answer/do the following. 20,200 8,350 10,750 13,900 13,185 10,150 7,300 6,240 4,200 21,400
(a) Estimate the average ticket sales revenue.
(b) Develop a 90% confidence interval for the mean in (a).
(c) Develop a 95% confidence interval for the mean in (a).
(d) Develop a 99% confidence interval for the mean in (a).
(e) If ticket prices were $7.16 on average, estimate the mean number of customers per theater.
(f) The movie was shown in 3,118 theaters. Estimate the number of people who saw the movie
In: Statistics and Probability
1. Kidlet Toys Ltd. designs and manufactures toys for the early childhood education market. The company sells its products to national toy retailers as well as to independent toy stores across North America. The company allows its customers to return any unsold products within 90 days of receiving the products from Kidlet. The rationale for this policy is to stimulate sales, especially among the independent toy stores. Returned toys are discarded.
Explain when Kidlet would recognize revenue under the contract-based approach. Also explain what the company would have to do to determine the amount of revenue that could be recognized.
In: Accounting
1.Which of the following transactions will affect the balance
of? Owner, Capital?
A.
collection on account
B.
paid accounts payable
C.
paid rent expense for the month
D.
purchased land for cash
2..Which of the following appears on both the income statement and statement of? owner's equity? A. Net income B. ?Owner, Capital, ending balance C. Total revenues D. ?Owner, Withdrawals
3.A liability created when a business receives cash from
customers in advance of providing services or delivering goods is
called? a(n) ________.
A.
notes receivable
B.
unearned revenue
C.
accrued liability
D.
service revenue
In: Accounting
A doctor wanted to determine whether there is a relation between a male's age and his HDL (so-called good) cholesterol. The doctor randomly selected 17 of his patients and determined their HDL cholesterol. The data obtained by the doctor is the in the data table below.
Age_-_x HDL Cholesterol_-_y
36 58
44 56
46 33
30 55
57 36
52 42
62 42
60 39
25 48
38 44
68 60
28 52
52 34
27 47
53 39
47 54
40 27
(a) Draw a scatter diagram of the data, treating age as the explanatory variable. What type of relation, if any, appears to exist between age and HDL cholesterol?
A. There does not appear to be a relation.
B. The relation appears to be nonlinear.
C. The relation appears to be linear.
In: Statistics and Probability
Fifteen students from Poppy High School were accepted at Branch
University. Of those students, six were offered academic
scholarships and nine were not. Mrs. Bergen believes Branch
University may be accepting students with lower ACT scores if they
have an academic scholarship. The newly accepted student ACT scores
are shown here.
Academic scholarship: 25, 24, 23, 21, 22, 20
No academic scholarship: 23, 25, 30, 32, 29, 26, 27, 29, 27
Part A: Do these data provide convincing evidence
of a difference in ACT scores between students with and without an
academic scholarship? Carry out an appropriate test at the α = 0.02
significance level. (5 points)
Part B: Create and interpret a 98% confidence
interval for the difference in the ACT scores between students with
and without an academic scholarship. (5 points)
In: Statistics and Probability