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: \[ \text{Mean} = \frac{2635}{24} \]
The result is approximately 109.79. Evaluating the mean helps in understanding the overall trend and is a cornerstone in statistical analysis.
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:
  • Collecting data
  • Organizing and summarizing data
  • Analyzing using statistical methods
  • Interpreting results in a clinical context
These processes help ensure that patients receive accurate diagnoses and treatments based on reliable data.
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:
  • Hands-on learning with real data
  • Improved comprehension of clinical scenarios
  • Better preparedness for actual clinical practice
Such educational exercises are foundational in building competent healthcare professionals who can rely on data for critical decision-making.