A ski company in Vail owns two ski shops, one on the west side and one on the east side of Vail. Ski hat sales data (in dollars) for a random sample of 5 Saturdays during the 2004 season showed the following results. Is there a significant difference in sales dollars of hats between the west side and east side stores at the 10 percent level of significance?
| Saturday Sales Data ($) for Ski Hats | ||
| Saturday | East Side Shop | West Side Shop |
| 1 | 572 | 590 |
| 2 | 440 | 784 |
| 3 | 613 | 624 |
| 4 | 550 | 530 |
| 5 | 459 | 570 |
(b) State the decision rule for a 5 percent
level of significance. (Round your answers to 3 decimal
places.)
Reject the null hypothesis if tcalc < ( ) or
tcalc > ( ).
(c-1) Find the test statistic tcalc. (Round your answer to 2 decimal places. A negative value should be indicated by a minus sign.)
tcalc ( )
In: Statistics and Probability
|
A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied. |
| Day | Income | Occupied | Day | Income | Occupied | ||||||||||
| 1 | $ | 1,452 | 20 | 14 | $ | 1,425 | 31 | ||||||||
| 2 | 1,361 | 20 | 15 | 1,445 | 51 | ||||||||||
| 3 | 1,426 | 21 | 16 | 1,439 | 62 | ||||||||||
| 4 | 1,470 | 80 | 17 | 1,348 | 45 | ||||||||||
| 5 | 1,456 | 70 | 18 | 1,450 | 41 | ||||||||||
| 6 | 1,430 | 29 | 19 | 1,431 | 62 | ||||||||||
| 7 | 1,354 | 70 | 20 | 1,446 | 47 | ||||||||||
| 8 | 1,442 | 21 | 21 | 1,485 | 43 | ||||||||||
| 9 | 1,394 | 15 | 22 | 1,405 | 38 | ||||||||||
| 10 | 1,459 | 36 | 23 | 1,461 | 36 | ||||||||||
| 11 | 1,399 | 41 | 24 | 1,490 | 30 | ||||||||||
| 12 | 1,458 | 35 | 25 | 1,426 | 65 | ||||||||||
| 13 | 1,537 | 51 | |||||||||||||
Click here for the Excel Data File
| Use a statistical software package to answer the following questions. |
| b. |
Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.) |
| Pearson correlation |
|
State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0 (Round your answer to 3 decimal places.) |
| Reject H0 if t > |
| Compute the value of the test statistic. (Round your answer to 2 decimal places.) |
| Value of the test statistic |
| c. |
Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level. |
| (Click to select) Reject Fail to reject H0, There is a (Click to select) no correlation a negative correlation a positive correlation between revenue and occupied rooms. |
| d. |
What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.) |
| % of the variation in revenue is explained by variation in occupied rooms. |
In: Statistics and Probability
| EX1 | EX2 | Ex3 | FINAL |
| 73 | 80 | 75 | 152 |
| 93 | 88 | 93 | 185 |
| 89 | 91 | 90 | 180 |
| 96 | 98 | 100 | 196 |
| 73 | 66 | 70 | 142 |
| 53 | 46 | 55 | 101 |
| 69 | 74 | 77 | 149 |
| 47 | 56 | 60 | 115 |
| 87 | 79 | 90 | 175 |
| 79 | 70 | 88 | 164 |
| 69 | 70 | 73 | 141 |
| 70 | 65 | 74 | 141 |
| 93 | 95 | 91 | 184 |
| 79 | 80 | 73 | 152 |
| 70 | 73 | 78 | 148 |
| 93 | 89 | 96 | 192 |
| 78 | 75 | 68 | 147 |
| 81 | 90 | 93 | 183 |
| 88 | 92 | 86 | 177 |
| 78 | 83 | 77 | 159 |
| 82 | 86 | 90 | 177 |
| 86 | 82 | 89 | 175 |
| 78 | 83 | 85 | 175 |
| 76 | 83 | 71 | 149 |
| 96 | 93 | 95 | 192 |
The following data provides 3 ex scores and 1 final ex score. Using the data you are to create a multiple linear regression line to predict final ex scores.
#### a
What is the correct model for all three tests?
#### b
How accurate is the model and interpret the R^squared value.
#### c
Check the conditions for a linear regression.
#### d
Interpret the intercept and discuss its implications.
#### e
Interpret the EX3 esimate in context.
#### f
Right a results sentence reporting your findings
In: Statistics and Probability
You wish to test the following claim (HaHa) at a significance
level of α=0.10.
Ho:μ1=μ2
Ha:μ1≠μ2
You obtain the following two samples of data.
| Sample #1 | Sample #2 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
What is the test statistic for this sample? (Report answer accurate
to three decimal places.)
test statistic =
What is the p-value for this sample? For this calculation, use the
degrees of freedom reported from the technology you are using.
(Report answer accurate to four decimal places.)
p-value =
In: Statistics and Probability
Python Coding:
Working with Conditions and Dictionaries.
1. Create three dictionaries (student_1, student_2, student_3).
2. In each student dictionary have a key-value for first_name, last_name, and an id number (6 digit), and a current_course. The values assigned to each of these keys is your choice.
3. Also each student will have in their dictionary a list for grades. You will need to add 3 grade values into the list.
4. Provide the student with a message about each assignment grade based on the grade value.
For each of the grades for each assignment:
Provide a 90-100 grade message. My example used 'Congratulations'
Provide a 80-89 grade message. My example used 'Good job!'
Provide a 70-79 grade message. My example used 'You passed!'
Provide a 60-69 grade message. My example used 'Bad news, below average'
59 or lower grade message would be 'Failed.'
For each grade:
'You have made a {grade value} on assignment {assignment number}.
5. Print out each student's data as shown in the example output below:
Name: Smith, John
Id: 646562
Course: ITSE 1359
Grades: 86, 74, 94
Good job!
You have made a 86 on assignment 1.
You passed!
You have made a 74 on assignment 2.
Congratulations
You have made a 94 on assignment 3.
In: Computer Science
In: Statistics and Probability
74
Productive efficiency means that the firm is producing at the lowest cost possible.
True or False
75
Which formula below best describes human behavior?
Multiple Choice
MC = MR
E > 1
E = 1
MB = MC
76
Costco, Wal-Mart, and Target probably control over 70 percent of the market share in the large superstore discount retailing industry. The ‘kinked’ demand curve is used to explain this industry is all part of the Monopolistic Competition market structure.
True or False
77
Suppose that Lockheed Martin (the military defense contractor) invented a very sophisticated fighter jet. If they could only sell this advanced plane exclusively to the U.S. government, then the U.S. government would be classified as a monopsony buyer.
True or False
In: Economics
In: Economics
If a school district takes a random sample of 74 Math SAT scores and finds that the average is 490, and knowing that the population standard deviation of Math SAT scores is intended to be 100. Find a 99% confidence interval for the mean math SAT score for this district.
≤μ≤
In: Statistics and Probability
Catherine Colonic, 74 years of age, is a male patient who was admitted to the surgical unit after undergoing a laparascopic right hemicolectomy.
The patient has several small abdominal incisions and a clear dressing over each site. The incisions are well approximated and the staples are dry and intact.
There is a Jackson-Pratt drain intact with minimal serous sanguineous drainage present.
The patient has a Salem sump tube connected to low continuous wall suction that is draining a small amount of brown liquid. The patient has no bowel sounds. The Foley catheter has a small amount of dark amber-colored urine without sediments. The patient has sequential compression device (SCD) in place.
The nurse performs an assessment and notes that the patient’s breath sounds are decreased bilaterally in the bases and the patient has inspiratory crackles. The patient’s cardiac assessment is within normal limits. The patient is receiving O2 at 2 L per nasal cannula with a pulse oximetry reading of 95%. The vital signs include: blood pressure, 100/50 mm Hg; heart rate 110 bpm; respiratory rate 16 breaths/min; and the patient is afebrile. The patient is confused as to place and time.
Exercise 2: Postop Nursing Management
Anthony Abscess is admitted to the hospital for surgical incision and drainage (I&D) and packing of an abscess on his right calf, which resulted from a farm machinery accident. The right calf has an area 3 cm × 2.5 cm, which is red, warm and hard to touch, and edematous.
In: Nursing