1. For the table below, fill in the missing sections for the Mean, Median, Mode, Range, and Standard Deviation on your own. Remember to round to two decimal places.
Hint: Put it in SPSS to simplify the calculation of the standard deviation, using the “Means” test under the Analyze menu!
Then complete the five questions and transfer your answers to the quiz in Canvas
Condition 1 Scores Condition 2 Scores
4, 1, 2, 4, 2, 3, 7, 4, 3, 5, 8, 3 4, 4, 5, 3, 3, 2, 3, 6, 4, 7, 8, 10
Column Mean
Column Median
Column Mode
Standard Deviation
Column Range
1. The correct mean for Condition One is _______ while the correct mean for Condition Two is ______:
A. 4.92 and 3.83
B. 5.17 and 3.42
C. 3.50 and 4.00
D. 3.83 and 4.92
E. 2.04 and 2.39
2. The correct standard deviation for Condition One is ________ while the correct standard deviation for
Condition Two is _______
A. 4.92 and 3.83
B. 5.17 and 3.42
C. 3.50 and 4.00
D. 3.83 and 4.92
E. 2.04 and 2.39
3. Which of the following is true about the mode?
A. Condition One has one mode while Condition Two has two modes
B. Condition Two has one mode while Condition One has two modes
C. The mode(s) for Conditions One and Two are different
D. The mode(s) for Conditions One and Two are the same
4. What is the best interpretation for this t-Test?
A. It was significant,
t
(21.46) = 1.19,
p
< .05
B. It was significant,
t
(22) = 1.19,
p
< .05
C. It was significant,
t
(22) = 0.56,
p
< .001
D. It was not significant,
t
(21.46) = 1.19,
p
> .05
E. It was not significant,
t
(22) = 1.19,
p
> .05
5. Use the Independent Samples Test table as well as your findings for the mean and SDs (from question
#1) to determine which of the following is
t
-Test write-ups correct:
A. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(21.46) = 1.19,
p
< .05. Scores
were higher in condition 1 (
M
= 3.83,
SD
= 2.04) than in condition 2 (
M
= 4.92,
SD
= 2.39).
B. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(22) = 1.19,
p
< .05. Scores were
higher in condition 1 (
M
= 4.92,
SD
= 2.39) than in condition 2 (
M
= 3.83,
SD
= 2.04).
C. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was significant,
t
(22) = 1.19,
p
< .05. Scores were
higher in condition 1 (
M
= 3.83,
SD
= 2.04) than in condition 2 (
M
= 4.92,
SD
= 2.39).
D. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was not significant,
t
(21.46) = 0.56,
p
> .05. Scores
were higher in condition 1 (
M
= 3.83,
SD
= 2.04) than in condition 2 (
M
= 4.92,
SD
= 2.39).
E. We ran an independent samples
t
-Test with score as the dependent variable and condition (1
versus 2) as the independent variable, which was not significant,
t
(22) = 1.19,
p
> .05. Scores did
not differ significantly between condition 1 (
M
= 3.83,
SD
= 2.04) and condition 2 (
M
= 4.92,
SD
= 2.39).
In: Statistics and Probability
Write CREATE TABLE and INSERT INTO statements in order to create and populate five tables in Oracle’s SQL*Plus.The information you need about the database ARE IN THE CHARTS BELOW.
Each worksheet includes the following information about its associated table:
➢ Column names (for example, the jr_order table contains the orderID, customerID, orderDate, orderStatus, and orderShippedDate columns);
➢ Column data types (for example, orderID is INT, orderStatus is VARCHAR2(2), etc.);
➢ Column constraints, if any (for example, orderID in the jr_order table is a primary key,
supplierName in the jr_supplier table is NOT NULL, etc.); and
➢ All values (i.e., the data).
Example INSERT code for each table
[Note that each of these INSERT INTO statements corresponds to the first row in its respective Excel worksheet!]
Example INSERT code for the xx_customer table
INSERT INTO jr_customer (
customerID, customerLastName, customerFirstName,
customerCity, customerState, customerZIP, customerEmail,
jr_customerPhoneNum ) VALUES (1,'Alexander','Michael',
'Highland Heights','KY','41076','[email protected]',NULL) ;
Example INSERT code for the xx_supplier table
INSERT INTO jr_supplier (
supplierID, supplierName, supplierCity, supplierState,
supplierContactName, supplierContactTitle, supplierContactEmail )
VALUES (1,'Reaper','Denton',’TX’,
'John Franklin','Product Marketing Manager','[email protected]') ;
Example INSERT code for the xx_order table
INSERT INTO jr_order (
orderID, customerID, orderDate, orderStatus, orderShippedDate )
VALUES (1,1,TO_DATE('2018-03-01','yyyy-mm-dd'),'SP',
TO_DATE('2018-03-04','yyyy-mm-dd') ) ;
Example INSERT code for the xx_product table
INSERT INTO jr_product (
productCode, supplierID, productName, suggestedPrice,
unitsInStock, unitsOnOrder, discontinued ) VALUES
('IM511',2,'Cloaked Assassin',4.95,4,1,'N') ;
Example INSERT code for the xx_orderLine table
INSERT INTO jr_orderLine (
orderLineID, orderID, productCode, quantity, unitPrice )
VALUES (1,1,'IM511',1,5.49) ;
MS EXCEL WORKBOOK INFO:
SUPPLIER:
| customerID |
|
|
|
|
|
|
|
|||||||||
| INT |
|
|
|
|
|
|
|
|||||||||
| PRIMARY KEY |
|
|
||||||||||||||
| 1 | Alexander | Michael | Highland Heights | KY | 41706 |
|
|
|||||||||
| 2 | Clark | Franklin | Amelia | OH | 45102 |
|
|
|||||||||
| 3 | Philips | Trevor | Newtown | OH | 45244 |
|
|
|||||||||
| 4 | Butler | Ashley | Erlanger | KY | 42017 |
|
|
|||||||||
| 5 | Landon | Frank | Reading | OH | 45215 |
|
|
|||||||||
| 6 | Herbert | Floyd | Cincinnati | OH | 45211 |
|
|
|||||||||
| 7 | McGee | Martin | Cincinnati | OH | 45238 |
|
|
ORDER:
| orderID | customerID | orderDate | orderStatus | orderShippedDate |
| INT | INT | DATE | VARCHAR2(2) | DATE |
| PRIMARY KEY | NOT NULL, foreign key | NOT NULL | NOT NULL | |
| 1 | 1 | 2018-03-01 | SP | 2018-03-04 |
| 2 | 2 | 2018-03-02 | SP | 2018-03-04 |
| 3 | 3 | 2018-03-03 | SP | 2018-03-05 |
| 4 | 4 | 2018-03-03 | SP | 2018-03-05 |
| 5 | 5 | 2018-03-05 | SP | 2018-03-07 |
| 6 | 6 | 2018-03-05 | SP | 2018-03-08 |
| 7 | 7 | 2018-03-08 | SP | 2018-03-10 |
| 16 | 2 | 2018-03-15 | SP | 2018-03-17 |
| 17 | 4 | 2018-03-16 | SP | 2018-03-19 |
| 20 | 7 | 2018-03-18 | SP | 2018-03-20 |
| 23 | 5 | 2018-03-20 | SP | 2018-03-22 |
PRODUCT:
| productCode | supplierID | productName | suggestedPrice | unitsInStock | unitsOnOrder | discontinued |
| VARCHAR2(15) | INT | VARCHAR2(30) | NUMBER(5,2) | NUMBER(3) | NUMBER(3) | VARCHAR2(1) |
| PRIMARY KEY | NOT NULL, foreign key | NOT NULL | ||||
| IM511 | 2 | Cloaked Assassin | 4.95 | 4 | 1 | N |
| IM514 | 2 | Hooded Female Thief | 4.25 | 3 | 0 | N |
| IM517 | 2 | Cleric with Staff | 4.95 | 5 | 2 | N |
| IM519 | 2 | Berserker | 3.71 | 2 | 1 | N |
| IM527 | 2 | Grand Mystic | 4.95 | 3 | 0 | N |
| IM537 | 2 | Hydra | 29.95 | 3 | 0 | Y |
| IM539 | 2 | Umber Hulk | 11.59 | 4 | 1 | N |
| IM540 | 2 | Wraith | 5.25 | 6 | 2 | N |
| IM556 | 2 | Heroic Paladin | 5.99 | 7 | 3 | N |
| IM657 | 2 | Two-Headed Troll | 12.99 | 2 | 0 | Y |
| R03495 | 1 | Werewolf | 9.99 | 3 | 0 | Y |
| R03515 | 1 | Dervish Warrior | 4.99 | 4 | 2 | N |
| R03527 | 1 | Scourge Devil | 11.99 | 1 | 2 | N |
| R03581 | 1 | Human Ranger | 7.49 | 9 | 2 | N |
| R03669 | 1 | Dark Elf | 7.99 | 8 | 0 | N |
OrderLine:
| orderLineID | orderID | productCode | quantity | unitPrice |
| INT | INT | VARCHAR2(15) | NUMBER(3) | NUMBER(5,2) |
| PRIMARY KEY | NOT NULL, foreign key | NOT NULL, foreign key | NOT NULL | NOT NULL |
| 1 | 1 | IM511 | 1 | 5.49 |
| 2 | 1 | R03495 | 1 | 10.99 |
| 3 | 2 | IM514 | 1 | 4.99 |
| 4 | 3 | IM517 | 1 | 4.99 |
| 5 | 4 | R03515 | 1 | 5.99 |
| 6 | 5 | R03669 | 1 | 8.99 |
| 7 | 6 | IM657 | 1 | 12.99 |
| 9 | 7 | R03527 | 1 | 11.99 |
| 8 | 7 | R03581 | 2 | 7.49 |
| 19 | 16 | IM527 | 1 | 4.95 |
| 18 | 16 | IM537 | 1 | 34.95 |
| 20 | 16 | IM540 | 1 | 5.99 |
| 21 | 17 | IM556 | 1 | 6.99 |
| 27 | 20 | IM519 | 1 | 4.19 |
| 31 | 23 | IM539 | 1 | 12.49 |
In: Computer Science
1.Find an equation for the plane containing the two (parallel) lines v1 = (0, 1, −9) + t(4, 9, −3) and v2 = (9, −1, 0) + t(4, 9, −3).
2.Find a parametrization for the line perpendicular to (6, −1, 1),parallel to the plane 6x + y − 8z = 1,and passing through the point (1, 0, −7).(Use the parameter t. Enter your answers as a comma-separated list of equations.)
In: Math
Random samples of female and male UVA undergraduates are asked to estimate the number of alcoholic drinks that each consumes on a typical weekend. The data is below:
Females (Population 1): 4, 5, 3, 6, 6, 4, 5, 3, 4, 2
Males (Population 2): 4, 6, 8, 4, 5, 6, 7, 6, 6, 7
Give a 95% confidence interval for the difference between mean female and male drink consumption. For each confidence interval, enter your answer in the form (LCL, UCL).
In: Statistics and Probability
| DEHS Data Set for Assessment Projects | ||||||||||||||||
| INTD 5064 Applied Statistics for Health Care Practitioners | ||||||||||||||||
| CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| C01 | 1 | 1 | 1 | 1 | 86 | 89 | 95 | 3 | 95 | 96 | 99 | 90 | 88 | 101 | ||
| C02 | 1 | 2 | 1 | 1 | 82 | 85 | 85 | 3 | 85 | 89 | 87 | 83 | 78 | 89 | ||
| C03 | 1 | 1 | 1 | 1 | 85 | 78 | 80 | 3 | 90 | 92 | 88 | 88 | 84 | 85 | ||
| C04 | 1 | 1 | 1 | 2 | 81 | 81 | 82 | 2 | 80 | 88 | 84 | 79 | 76 | 105 | ||
| C05 | 1 | 2 | 1 | 1 | 92 | 95 | 100 | 4 | 100 | 100 | 95 | 98 | 104 | 82 | ||
| C06 | 1 | 1 | 1 | 1 | 79 | 80 | 72 | 4 | 92 | 94 | 90 | 92 | 82 | 90 | ||
| C07 | 1 | 1 | 1 | 1 | 78 | 80 | 74 | 3 | 84 | 88 | 79 | 86 | 80 | 80 | ||
| C08 | 1 | 2 | 1 | 1 | 111 | 115 | 102 | 3 | 120 | 122 | 112 | 109 | 110 | 102 | ||
| C09 | 1 | 1 | 1 | 2 | 87 | 89 | 79 | 4 | 88 | 92 | 87 | 87 | 82 | 82 | ||
| C10 | 1 | 2 | 1 | 2 | 99 | 98 | 89 | 4 | 100 | 98 | 90 | 104 | 106 | 95 | ||
| C11 | 1 | 1 | 1 | 1 | 67 | 69 | 68 | 3 | 79 | 84 | 82 | 70 | 78 | 77 | ||
| C12 | 1 | 2 | 2 | 1 | 102 | 100 | 98 | 2 | 95 | 98 | 93 | 96 | 90 | 82 | ||
| C13 | 1 | 1 | 2 | 1 | 74 | 74 | 70 | 2 | 70 | 72 | 70 | 71 | 68 | 74 | ||
| C14 | 1 | 2 | 2 | 1 | 68 | 65 | 70 | 1 | 67 | 69 | 66 | 65 | 68 | 70 | ||
| C15 | 1 | 1 | 2 | 1 | 95 | 90 | 101 | 2 | 90 | 92 | 88 | 85 | 95 | 87 | ||
| C16 | 1 | 1 | 2 | 1 | 75 | 77 | 76 | 2 | 72 | 75 | 70 | 74 | 68 | 69 | ||
| Non CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| S01 | 2 | 2 | 2 | 1 | 95 | 89 | 100 | 2 | 93 | 89 | 85 | 100 | 92 | 82 | ||
| S02 | 2 | 1 | 2 | 1 | 87 | 85 | 95 | 1 | 80 | 83 | 82 | 80 | 78 | 70 | ||
| S03 | 2 | 2 | 2 | 2 | 76 | 78 | 80 | 1 | 78 | 72 | 70 | 77 | 80 | 65 | ||
| S04 | 2 | 1 | 2 | 1 | 75 | 73 | 72 | 2 | 73 | 71 | 72 | 75 | 72 | 68 | ||
| S05 | 2 | 1 | 2 | 1 | 79 | 78 | 80 | 1 | 80 | 70 | 72 | 85 | 81 | 63 | ||
| S06 | 2 | 1 | 2 | 1 | 77 | 78 | 74 | 1 | 75 | 77 | 68 | 85 | 70 | 71 | ||
| S07 | 2 | 1 | 2 | 1 | 78 | 80 | 72 | 2 | 72 | 75 | 70 | 72 | 69 | 60 | ||
| S08 | 2 | 2 | 2 | 1 | 77 | 81 | 75 | 1 | 80 | 89 | 73 | 75 | 78 | 65 | ||
| S09 | 2 | 1 | 2 | 1 | 87 | 88 | 84 | 1 | 80 | 84 | 80 | 75 | 80 | 68 | ||
| S10 | 2 | 1 | 2 | 1 | 89 | 98 | 82 | 3 | 90 | 100 | 85 | 85 | 85 | 78 | ||
| S11 | 2 | 2 | 2 | 1 | 90 | 94 | 92 | 1 | 85 | 90 | 82 | 79 | 87 | 72 | ||
| S12 | 2 | 1 | 2 | 1 | 73 | 78 | 72 | 1 | 70 | 74 | 67 | 79 | 68 | 66 | ||
| S13 | 2 | 2 | 2 | 1 | 74 | 74 | 75 | 1 | 70 | 72 | 69 | 67 | 75 | 67 | ||
| S14 | 2 | 2 | 2 | 1 | 68 | 65 | 68 | 2 | 62 | 60 | 61 | 67 | 60 | 55 | ||
| S15 | 2 | 1 | 2 | 1 | 75 | 74 | 72 | 1 | 71 | 77 | 67 | 75 | 71 | 70 | ||
| S16 | 2 | 1 | 2 | 1 | 74 | 77 | 73 | 1 | 77 | 74 | 68 | 80 | 72 | 65 | ||
7. Trautwein and Ammerman are curious how the CI group compares to the norm on CLS at the end of the study.
a. What inferential test should the researchers use? Why?
b. What are the independent and dependent variables?
c. Using the A-B-C-D format used in class, answer Drs. Trautwein and Ammerman’s research question.
In: Statistics and Probability
| DEHS Data Set for Assessment Projects | ||||||||||||||||
| INTD 5064 Applied Statistics for Health Care Practitioners | ||||||||||||||||
| CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| C01 | 1 | 1 | 1 | 1 | 86 | 89 | 95 | 3 | 95 | 96 | 99 | 90 | 88 | 101 | ||
| C02 | 1 | 2 | 1 | 1 | 82 | 85 | 85 | 3 | 85 | 89 | 87 | 83 | 78 | 89 | ||
| C03 | 1 | 1 | 1 | 1 | 85 | 78 | 80 | 3 | 90 | 92 | 88 | 88 | 84 | 85 | ||
| C04 | 1 | 1 | 1 | 2 | 81 | 81 | 82 | 2 | 80 | 88 | 84 | 79 | 76 | 105 | ||
| C05 | 1 | 2 | 1 | 1 | 92 | 95 | 100 | 4 | 100 | 100 | 95 | 98 | 104 | 82 | ||
| C06 | 1 | 1 | 1 | 1 | 79 | 80 | 72 | 4 | 92 | 94 | 90 | 92 | 82 | 90 | ||
| C07 | 1 | 1 | 1 | 1 | 78 | 80 | 74 | 3 | 84 | 88 | 79 | 86 | 80 | 80 | ||
| C08 | 1 | 2 | 1 | 1 | 111 | 115 | 102 | 3 | 120 | 122 | 112 | 109 | 110 | 102 | ||
| C09 | 1 | 1 | 1 | 2 | 87 | 89 | 79 | 4 | 88 | 92 | 87 | 87 | 82 | 82 | ||
| C10 | 1 | 2 | 1 | 2 | 99 | 98 | 89 | 4 | 100 | 98 | 90 | 104 | 106 | 95 | ||
| C11 | 1 | 1 | 1 | 1 | 67 | 69 | 68 | 3 | 79 | 84 | 82 | 70 | 78 | 77 | ||
| C12 | 1 | 2 | 2 | 1 | 102 | 100 | 98 | 2 | 95 | 98 | 93 | 96 | 90 | 82 | ||
| C13 | 1 | 1 | 2 | 1 | 74 | 74 | 70 | 2 | 70 | 72 | 70 | 71 | 68 | 74 | ||
| C14 | 1 | 2 | 2 | 1 | 68 | 65 | 70 | 1 | 67 | 69 | 66 | 65 | 68 | 70 | ||
| C15 | 1 | 1 | 2 | 1 | 95 | 90 | 101 | 2 | 90 | 92 | 88 | 85 | 95 | 87 | ||
| C16 | 1 | 1 | 2 | 1 | 75 | 77 | 76 | 2 | 72 | 75 | 70 | 74 | 68 | 69 | ||
| Non CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| S01 | 2 | 2 | 2 | 1 | 95 | 89 | 100 | 2 | 93 | 89 | 85 | 100 | 92 | 82 | ||
| S02 | 2 | 1 | 2 | 1 | 87 | 85 | 95 | 1 | 80 | 83 | 82 | 80 | 78 | 70 | ||
| S03 | 2 | 2 | 2 | 2 | 76 | 78 | 80 | 1 | 78 | 72 | 70 | 77 | 80 | 65 | ||
| S04 | 2 | 1 | 2 | 1 | 75 | 73 | 72 | 2 | 73 | 71 | 72 | 75 | 72 | 68 | ||
| S05 | 2 | 1 | 2 | 1 | 79 | 78 | 80 | 1 | 80 | 70 | 72 | 85 | 81 | 63 | ||
| S06 | 2 | 1 | 2 | 1 | 77 | 78 | 74 | 1 | 75 | 77 | 68 | 85 | 70 | 71 | ||
| S07 | 2 | 1 | 2 | 1 | 78 | 80 | 72 | 2 | 72 | 75 | 70 | 72 | 69 | 60 | ||
| S08 | 2 | 2 | 2 | 1 | 77 | 81 | 75 | 1 | 80 | 89 | 73 | 75 | 78 | 65 | ||
| S09 | 2 | 1 | 2 | 1 | 87 | 88 | 84 | 1 | 80 | 84 | 80 | 75 | 80 | 68 | ||
| S10 | 2 | 1 | 2 | 1 | 89 | 98 | 82 | 3 | 90 | 100 | 85 | 85 | 85 | 78 | ||
| S11 | 2 | 2 | 2 | 1 | 90 | 94 | 92 | 1 | 85 | 90 | 82 | 79 | 87 | 72 | ||
| S12 | 2 | 1 | 2 | 1 | 73 | 78 | 72 | 1 | 70 | 74 | 67 | 79 | 68 | 66 | ||
| S13 | 2 | 2 | 2 | 1 | 74 | 74 | 75 | 1 | 70 | 72 | 69 | 67 | 75 | 67 | ||
| S14 | 2 | 2 | 2 | 1 | 68 | 65 | 68 | 2 | 62 | 60 | 61 | 67 | 60 | 55 | ||
| S15 | 2 | 1 | 2 | 1 | 75 | 74 | 72 | 1 | 71 | 77 | 67 | 75 | 71 | 70 | ||
| S16 | 2 | 1 | 2 | 1 | 74 | 77 | 73 | 1 | 77 | 74 | 68 | 80 | 72 | 65 | ||
7. Trautwein and Ammerman are curious how the CI group compares to the norm on CLS at the end of the study.
a. What inferential test should the researchers use? Why?
b. What are the independent and dependent variables?
c. Using the A-B-C-D format used in class, answer Drs. Trautwein and Ammerman’s research question.
In: Statistics and Probability
11. Drs. Trautwein and Ammerman are curious if receptive language changed in the non-CI group (from the beginning to the end of the study).
What type of inferential test should be used to test the hypothesis? Why?
If they found significance, what would their conclusions be?
| DEHS Data Set for Assessment Projects | ||||||||||||||||
| INTD 5064 Applied Statistics for Health Care Practitioners | ||||||||||||||||
| CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| C01 | 1 | 1 | 1 | 1 | 86 | 89 | 95 | 3 | 95 | 96 | 99 | 90 | 88 | 101 | ||
| C02 | 1 | 2 | 1 | 1 | 82 | 85 | 85 | 3 | 85 | 89 | 87 | 83 | 78 | 89 | ||
| C03 | 1 | 1 | 1 | 1 | 85 | 78 | 80 | 3 | 90 | 92 | 88 | 88 | 84 | 85 | ||
| C04 | 1 | 1 | 1 | 2 | 81 | 81 | 82 | 2 | 80 | 88 | 84 | 79 | 76 | 105 | ||
| C05 | 1 | 2 | 1 | 1 | 92 | 95 | 100 | 4 | 100 | 100 | 95 | 98 | 104 | 82 | ||
| C06 | 1 | 1 | 1 | 1 | 79 | 80 | 72 | 4 | 92 | 94 | 90 | 92 | 82 | 90 | ||
| C07 | 1 | 1 | 1 | 1 | 78 | 80 | 74 | 3 | 84 | 88 | 79 | 86 | 80 | 80 | ||
| C08 | 1 | 2 | 1 | 1 | 111 | 115 | 102 | 3 | 120 | 122 | 112 | 109 | 110 | 102 | ||
| C09 | 1 | 1 | 1 | 2 | 87 | 89 | 79 | 4 | 88 | 92 | 87 | 87 | 82 | 82 | ||
| C10 | 1 | 2 | 1 | 2 | 99 | 98 | 89 | 4 | 100 | 98 | 90 | 104 | 106 | 95 | ||
| C11 | 1 | 1 | 1 | 1 | 67 | 69 | 68 | 3 | 79 | 84 | 82 | 70 | 78 | 77 | ||
| C12 | 1 | 2 | 2 | 1 | 102 | 100 | 98 | 2 | 95 | 98 | 93 | 96 | 90 | 82 | ||
| C13 | 1 | 1 | 2 | 1 | 74 | 74 | 70 | 2 | 70 | 72 | 70 | 71 | 68 | 74 | ||
| C14 | 1 | 2 | 2 | 1 | 68 | 65 | 70 | 1 | 67 | 69 | 66 | 65 | 68 | 70 | ||
| C15 | 1 | 1 | 2 | 1 | 95 | 90 | 101 | 2 | 90 | 92 | 88 | 85 | 95 | 87 | ||
| C16 | 1 | 1 | 2 | 1 | 75 | 77 | 76 | 2 | 72 | 75 | 70 | 74 | 68 | 69 | ||
| Non CI Subjects | ||||||||||||||||
| Subject ID | Group | Gender | Mode of Communication | ESP-Pre | TL-Pre | AC-Pre | EC-Pre | ESP Post | CLS-Post | RLI-Post | ELI-Post | LCI-Post | LSI-Post | GF-Post | ||
| S01 | 2 | 2 | 2 | 1 | 95 | 89 | 100 | 2 | 93 | 89 | 85 | 100 | 92 | 82 | ||
| S02 | 2 | 1 | 2 | 1 | 87 | 85 | 95 | 1 | 80 | 83 | 82 | 80 | 78 | 70 | ||
| S03 | 2 | 2 | 2 | 2 | 76 | 78 | 80 | 1 | 78 | 72 | 70 | 77 | 80 | 65 | ||
| S04 | 2 | 1 | 2 | 1 | 75 | 73 | 72 | 2 | 73 | 71 | 72 | 75 | 72 | 68 | ||
| S05 | 2 | 1 | 2 | 1 | 79 | 78 | 80 | 1 | 80 | 70 | 72 | 85 | 81 | 63 | ||
| S06 | 2 | 1 | 2 | 1 | 77 | 78 | 74 | 1 | 75 | 77 | 68 | 85 | 70 | 71 | ||
| S07 | 2 | 1 | 2 | 1 | 78 | 80 | 72 | 2 | 72 | 75 | 70 | 72 | 69 | 60 | ||
| S08 | 2 | 2 | 2 | 1 | 77 | 81 | 75 | 1 | 80 | 89 | 73 | 75 | 78 | 65 | ||
| S09 | 2 | 1 | 2 | 1 | 87 | 88 | 84 | 1 | 80 | 84 | 80 | 75 | 80 | 68 | ||
| S10 | 2 | 1 | 2 | 1 | 89 | 98 | 82 | 3 | 90 | 100 | 85 | 85 | 85 | 78 | ||
| S11 | 2 | 2 | 2 | 1 | 90 | 94 | 92 | 1 | 85 | 90 | 82 | 79 | 87 | 72 | ||
| S12 | 2 | 1 | 2 | 1 | 73 | 78 | 72 | 1 | 70 | 74 | 67 | 79 | 68 | 66 | ||
| S13 | 2 | 2 | 2 | 1 | 74 | 74 | 75 | 1 | 70 | 72 | 69 | 67 | 75 | 67 | ||
| S14 | 2 | 2 | 2 | 1 | 68 | 65 | 68 | 2 | 62 | 60 | 61 | 67 | 60 | 55 | ||
| S15 | 2 | 1 | 2 | 1 | 75 | 74 | 72 | 1 | 71 | 77 | 67 | 75 | 71 | 70 | ||
| S16 | 2 | 1 | 2 | 1 | 74 | 77 | 73 | 1 | 77 | 74 | 68 | 80 | 72 | 65 | ||
In: Statistics and Probability
The diner and the waiter play a sequential game. The waiter decides whether to give good service or not: the diner then decides, in each case, whether to leave a $4 tip. If there is bad service and no tip, each gets a payoff of 0. Good service is worth $6 to the diner and costs the waiter $2. So if there is good service and a tip, the diner gets a payoff of 6-4 = 2 and the waiter a payoff of 4-2 = 2, for example.
a) What is the unique sub-game perfect equilibrium of this game. Why?
b) Explain how infinite repetition makes it impossible for tipping to occur. Construct an equilibrium where this happens.
c) Use an analogue of the Grim Trigger and find what conditions on d( =1/(1+r)) allow such an equilibrium to work. Explain your work.
d) Now suppose that with probability 1-p in each period the game will end after this period - the waiter will get a job as an actor. Now? what conditions on d are necessary.
In: Economics
ANOVA BY HAND (DF BETWEEN AND WITHIN)
Does a woman’s chance of suffering from postpartum depression vary depending on the number of children she already has? To find out, a researcher collected random samples form four groups of women: the first group having just given birth to their first child, the second group having just given birth to their second child, and so on. He then rated their amount of postpartum depression on a scale from 1 to 5. Test the null hypothesis that the chances of developing postpartum depression do not differ with the number of children to which a woman has previously given birth. Test at .05 LOS. Please give an extensive interpretation. Please provide summary table.
First Second Third Fourth
Child Child Child Child
3 3 5 4
2 5 5 3
4 1 3 2
3 3 5 1
2 4 2 5
In: Statistics and Probability
Java
Write a program that reads 4 integer numbers from the user combine it into a single number. You need to ask the user to first specify how to combine the numbers (forward or backward). Note that for the backward option you need to check that the last digits should be 0, also for the forward option you need to check that the fist digit is not 0. Use for loops and switch for the menu. 4. Write an application that prompts the user to enter an integer limit and then print the numbers from 1 to this limit in the following format. The number read should not be greater than 10 and should not be negative. Enter a number: 3 Enter a number: 6 Enter a number: 2 Enter a number: 0 1.Forward 2.Backward Choose an option: 1 The number is 3620 Enter a number: 3 Enter a number: 6 Enter a number: 2 Enter a number: 0 3.Forward 4.Backward Choose an option: 2 Error!
In: Computer Science