Problem 2
Question
The following chloride (mmol/L) results were obtained using a new analyzer: $$\begin{array}{rrrrrr}106 & 111 & 104 & 106 & 112 & 110 \\ 115 & 127 & 83 & 110 & 108 & 109 \\ 83 & 119 & 105 & 106 & 108 & 114 \\ 120 & 100 & 107 & 110 & 109 & 102\end{array}$$ What is the mean? a. 108 b. 105 c. 109 d. 107
Step-by-Step Solution
Verified Answer
The mean chloride result is approximately 109.
1Step 1: Collect All Data Points
List all the chloride results provided:106, 111, 104, 106, 112, 110, 115, 127, 83, 110, 108, 109, 83, 119, 105, 106, 108, 114, 120, 100, 107, 110, 109, 102.
2Step 2: Sum All Data Points
Add all the chloride results together:106 + 111 + 104 + 106 + 112 + 110 + 115 + 127 + 83 + 110 + 108 + 109 + 83 + 119 + 105 + 106 + 108 + 114 + 120 + 100 + 107 + 110 + 109 + 102 = 2635.
3Step 3: Count the Number of Data Points
Count how many chloride results there are. In this case, there are 24 results.
4Step 4: Calculate the Mean
Divide the total sum by the number of data points to find the mean:\[ \text{Mean} = \frac{2635}{24} \approx 109.79 \]
5Step 5: Compare to Given Options
Compare the calculated mean to the given options (108, 105, 109, 107). The closest value to 109.79 is 109.
Key Concepts
clinical chemistry calculationsmean calculationstatistical analysis in clinical labseducational medical data
clinical chemistry calculations
Clinical chemistry calculations are essential for analyzing various substances in biological samples. These calculations help in diagnosing and monitoring patient health. One common task is calculating the concentration of electrolytes, like chloride, in blood samples. Accurate calculations are vital as they guide treatment decisions. To ensure precision, laboratory professionals follow standardized steps and use verified methods. Understanding clinical chemistry is crucial for healthcare workers to provide the best patient care.
mean calculation
The mean, or average, is a fundamental statistical tool used in various fields, including clinical chemistry. Calculating the mean involves summing up all data points and then dividing by the number of points. For example, in the chloride concentration analysis:
- Step 1: List all results
- Step 2: Sum all results: 2635
- Step 3: Count all results: 24
- Step 4: Divide sum by count: \[ \text{Mean} = \frac{2635}{24} \]
statistical analysis in clinical labs
Statistical analysis in clinical laboratories is often used to assess the reliability and accuracy of data. It involves various techniques to make sense of numerical data collected during experiments and tests. By calculating averages, ranges, and standard deviations, laboratory professionals can understand data variability and consistency.
Steps typically include:
Steps typically include:
- Collecting data
- Organizing and summarizing data
- Analyzing using statistical methods
- Interpreting results in a clinical context
educational medical data
Educational medical data refers to information used in training and educating healthcare professionals. This data can come from real-life patient results, simulations, or case studies. Using realistic data helps students understand real-world applications of theoretical knowledge. By practicing calculations like those for chloride concentrations, students can learn how to handle actual clinical data.
Key benefits include:
Key benefits include:
- Hands-on learning with real data
- Improved comprehension of clinical scenarios
- Better preparedness for actual clinical practice
Other exercises in this chapter
Problem 1
A Gaussian distribution is usually a. Bell shaped b. Rectangular c. Uniform d. Skewed
View solution Problem 3
The following chloride \((\mathrm{mmol} / \mathrm{L})\) results were obtained using a new analyzer: $$\begin{array}{rrrrrr} 106 & 111 & 104 & 106 & 112 & 110 \\
View solution Problem 4
For a data value set that is Gaussian distributed, what is the likelihood (\%) that a data point will be within \(\pm 1\) SD from the mean? a. \(68 \%\) b. \(99
View solution Problem 6
If two methods agree perfectly in a method comparison study, the slope equals and the \(y\) -intercept equals. a. \(1.0,0.0\) b. \(0.0,1.0\) c. \(1.0,1.0\) d. \
View solution