Solution Q1 comparison of mean of 4 types of service.
Solution is based on One-way ANOVA with unequal number of observations per group.
Final Results
ANOVA |
Table |
alpha |
0.05 |
|||
Source |
DF |
SS |
MS |
F |
Fcrit |
p-value |
Shift |
3 |
136317 |
45438.9 |
52.61132 |
2.845068 |
8.936E-14 |
Error |
39 |
33683 |
863.6717 |
|||
Total |
42 |
170000 |
4047.617 |
Since F > Fcrit or equivalently, since p-value < alpha, null hypothesis of equal means is rejected.
Hence, we conclude that the means of 4 types of Services are NOT equal. Answer
DONE
Details
Data
Ser 1 |
Ser 2 |
Ser 3 |
Ser 4 |
61 |
90 |
147 |
190 |
49 |
97 |
125 |
200 |
47 |
95 |
93 |
143 |
38 |
78 |
95 |
179 |
33 |
80 |
120 |
111 |
30 |
66 |
150 |
240 |
30 |
90 |
166 |
270 |
24 |
99 |
130 |
156 |
22 |
92 |
136 |
178 |
11 |
88 |
124 |
146 |
65 |
75 |
245 |
|
243 |
Calculations
alpha |
0.05 |
||
#treat |
4 |
||
n1 |
10 |
n4 |
12 |
n2 |
11 |
||
n3 |
10 |
||
n |
43 |
||
x1. |
410 |
x4. |
2301 |
x2. |
950 |
||
x3. |
1286 |
||
G = x.. |
4947 |
||
C |
569135.093 |
||
Sx1j^2 |
18070 |
Sx4j^2 |
467821 |
Sx2j^2 |
83108 |
||
Sx3j^2 |
170136 |
||
Sxij^2 |
739135 |
||
Sxi.^2/ni |
705451.8045 |
||
SST |
169999.907 |
||
SSR |
136316.7115 |
||
SSE |
33683.19545 |
DONE
use graph D and E to find mean of each service type(1,2,3,4) thanks and complete other questions Col. B Column A C...
Part 2 The Striving for Perfection Urgent Care Center feels that its patients wait time is too long. The staff has noticed that increasing numbers of people are waiting longer in the waiting room. The national benchmark performance is 90 minutes or less from the time the customer arrives to the time the customer is treated and discharged. Part II The staff thought that the type of service might have an impact on the time it took for the patient...
Problem: The Striving for Perfection Urgent Care Center feels that its patients wait time is too long. The staff has noticed that increasing numbers of people are waiting longer in the waiting room. The national benchmark performance is 90 minutes or less from the time the customer arrives to the time the customer is treated and discharged. The staff decides to examine the time it takes for all patients to move through their service process on two successive days (columns...
The Striving for Perfection Urgent Care Center feels that its patients wait time is too long. The staff has noticed that increasing numbers of people are waiting longer in the waiting room. The national benchmark performance is 90 minutes or less from the time the customer arrives to the time the customer is treated and discharged. Part I The staff decides to examine the time it takes for all patients to move through their service process on two successive days...
Part 1 The Striving for Perfection Urgent Care Center feels that its patients wait time is too long. The staff has noticed that increasing numbers of people are waiting longer in the waiting room. The national benchmark performance is 90 minutes or less from the time the customer arrives to the time the customer is treated and discharged. Part I The staff decides to examine the time it takes for all patients to move through their service process on two...
Calculate the range, mean, mode, median, Standard deviation Calculate the skewness and kurtosis for the above data and interpret the data. The following is data collected from the daily salary employees of ZZ COMPANY.. 68 19 43 11 37 30 19 67 65 34 96 23 93 73 46 39 21 12 89 52 33 21 18 57 80 56 91 62 56 48 84 23 78 96 49 36 90 42 65 15 43 36 65 59 34 71...
Your IT department provided you data on patients that received ER services, their GHHS, and their recovery time. Prepare a report to share with the owners of the facility that will help you make informed decisions about how long you can expect a patients’ recovery time would be based on their GHHS. Based on your findings provide recommendations on your plan moving forward to improve the functioning of your facilities in generating revenue. Prepare a report that addresses each of...
1. Forecast demand for Year 4. a. Explain what technique you utilized to forecast your demand. b. Explain why you chose this technique over others. Year 3 Year 1 Year 2 Actual Actual Actual Forecast Forecast Forecast Demand Demand Demand Week 1 52 57 63 55 66 77 Week 2 49 58 68 69 75 65 Week 3 47 50 58 65 80 74 Week 4 60 53 58 55 78 67 57 Week 5 49 57 64 76 77...
RANGES FREQUENCY RELATIVE FREQUENCY CUMULATIVE REL. FREQ. 1 - 10 11 - 20 21 - 30 31 - 40 41 - 50 51 - 60 61 - 70 71 - 80 81 - 90 91 - 100 '= 100 DATA VALUES?? SO, WHAT DOES A FREQUENCY TABLE TELL US? If you wrote each of the above data values on a ping pong ball,, put them in a jar and blindly pulled one out: What is the probability that this ball...
The ExceptionLab class provided: – Creates an array of 100 elements and fills it with random numbers from 1 to 100. – It asks the user for an index value between 0 and 99. – Prints the element at that position. – If a number > 99 is entered by the user, the class will abort with an ArrayIndexOutOfBoundsException • Modify the ExceptionLab: – Add a try-catch clause which intercepts the ArrayIndexOutOfBounds and prints the message: Index value cannot be...
Problem #1: Consider the below matrix A, which you can copy and paste directly into Matlab. The matrix contains 3 columns. The first column consists of Test #1 marks, the second column is Test # 2 marks, and the third column is final exam marks for a large linear algebra course. Each row represents a particular student.A = [36 45 75 81 59 73 77 73 73 65 72 78 65 55 83 73 57 78 84 31 60 83...