6. Identify the significance of standard deviation in data analytics using Table 5A data as a reference.
Data Table 5A
Standard Deviation Table |
|||
Coder Status |
Mean |
N |
Standard Deviation |
Inpatient Coding Specialist II |
93.0000 |
3 |
5.0000 |
Inpatient Coding Specialist I |
89.5000 |
2 |
0.70711 |
Ambulatory Surgery Coding Specialist |
73.3333 |
3 |
6.4291 |
Total |
84.7500 |
8 |
10.51190 |
7. Calculate the mean length of stay and the median age using Table 6A. Show your work.
Patient # |
Age |
Length of Stay (LOS) |
Case 1 |
52.6 |
10 |
Case 2 |
81.9 |
12 |
Case 3 |
74.7 |
8 |
Case 4 |
23.8 |
4 |
Case 5 |
27.9 |
5 |
Case 6 |
42.5 |
6 |
Case 7 |
55.2 |
7 |
Case 8 |
77.0 |
9 |
Case 9 |
81.2 |
10 |
Case 10 |
53.8 |
8 |
7.
Formula :
To calculate the mean length of stay,
Hence, the mean of the length of stay is 7.9
Formula :
First, arrange the data in ascending order of magnitude.
23.8 , 27.9 , 42.5 , 52.6 , 53.8 , 55.2 , 74.7 , 77 , 81.2 , 81.9
th observation or item
In ascending order the numbers are 23.8, 27.9, 42.5, 52.6, 53.8, 55.2, 74.7, 77, 81.2, 81.9 . There are 10 total numbers, so the 5th and 6th numbers are used to figure the median. (53.8 + 55.2) / 2 = 54.5
Hence, The median age is 54.5.
6. Identify the significance of standard deviation in data analytics using Table 5A data as a reference. Data Table 5A...
6. Identify the significance of standard deviation in data analytics using Table 5A data as a reference. Indicate the role standard deviation plays in identifying the amount of variation in data values Data Table 5A Standard Deviation Table Coder Status Mean N Standard Deviation Inpatient Coding Specialist II 93.0000 3 5.0000 Inpatient Coding Specialist I 89.5000 2 0.70711 Ambulatory Surgery Coding Specialist 73.3333 3 6.4291 Total 84.7500 8 10.51190
How do I calculate the information in the table below? Using the
formulas listed
Mass Data and Calculations Table Mass 1 Mass 2Mass 3Mass 4 Average Standard Standard Deviation Error Aluminum 0.0179 0.018 Brass Iron 0.0177 0.0556 0.0494 0.0493 0.04950.0493 0.0494 0.017 0.0179 0.0549 0.0553 0.000469 0.000235 0.00085 0.000425 9.57E-0S 4.79E-05 SAMPLE CALCULATION S 0.0568 0.0552 Length Data and Calculations Table Length1Length 2 Length Length 4 Average Standard Standarod 2. ση-,- Deviation Error Aluminum 0.0504 0.0505 0.0519 0.051 0.05095 0.000686...
9. Look at the footnotes in table 1 and choose the correct
statement:
a. Missing data on pack-years of smoking may introduce bias
given that non-cases are more likely to have missing smoking data
compared with cases.
b. It is unlikely that missing pack-years of smoking will bias
the results given that cases and non-cases have similar proportions
of missing pack-years data.
c. The rate of missingness of pack-year data in non-cases is
unacceptably high therefore this variable should not...
TABLE 4.1 Standard man data. The percentage values indicate the fraction of the total body mass. General data Age 30 years Height 173 cm Mass distribution Body mass Motal 70 kg Mass of the trunk 48% Muscle mass 43% Mass of each leg 15% Fat mass 14% Bone mass 10% Mass of the head 7% Mass of each arm 6.5% Brain mass 2.1% Mass of both lungs 1.4% Homeostasis data Surface area 1.85 m2 Body core temperature 310 K Specific...
6. Using the data in the table to the right, calculate the return for investing in the stock from January 1 to December 31. Prices are after the dividend has been paid. Date Price Dividend 1/2/03 $32.64 - 2/5/03 $31.49 $0.22 5/14/03 $30.76 $0.18 8/13/03 $32.66 $0.22 11/12/03 $38.52 $0.19 1/2/04 $43.88 - Return for the entire period is __ (Round to two decimal places.) 7. You observe a portfolio for five years and determine that its average return is...
4. If a survey question asks an open-ended question what type of data is collected? a. Quantitative b. Ratio c. Interval d. Qualitative 5. What data quality characteristic ensures that data supports the reason for the collection of the data? a. Precision b. Currency c. Constancy d. Definition 6. HCUP is a family of databases maintained by: a. CMS b. HHS c. AHRQ d. CDC 7. The fact that there is missing data would be identified in _____. a. Data...
________________
________________
______________
11. Using Excel - Scatter diagrams, estimated regression equations, and trendlines Suppose a company records data on sales calls, induding the length of each call and whether a sale was made. The manager is interested in determining whether there is a relationship between the average time spent per call and the number of sales made by each employee, so she obtains the average call length and the total number of sales over a 2-week period for a...