Math Problem Statement
Solution
The questions from the image are related to the properties of a normal distribution. Let’s solve them systematically:
The salaries of employees follow a normal distribution with:
- Mean (μ) = €25,000
- Standard deviation (σ) = €5,000
A. Probability of a salary of at least €31,000
To find the probability, we calculate the z-score: Here, , , and :
Using the standard normal distribution table, the cumulative probability for is approximately 0.8849.
The probability of is:
Answer: The probability is 11.51%.
B. Percentage of employees earning less than €12,200
Similarly, calculate the z-score for :
Using the z-table, the cumulative probability for is approximately 0.0052.
Answer: The percentage is 0.52%.
C. Minimum and maximum salaries for the middle 95%
For the middle 95% of a normal distribution, the z-scores are approximately ±1.96.
The corresponding values are calculated as: For the minimum: For the maximum:
Answer: The salaries range from €15,200 to €34,800.
D. Percentage of employees earning between €20,000 and €35,000
Calculate the z-scores for both values:
-
For : The cumulative probability for is approximately 0.1587.
-
For : The cumulative probability for is approximately 0.9772.
The probability of being between and is:
Answer: The percentage is 81.85%.
Any Questions or Clarifications?
Would you like detailed calculations or more context?
5 Related Questions:
- What is the probability of earning between €15,000 and €30,000?
- How does the standard deviation affect the probability calculations?
- What percentage of employees earn above €40,000?
- How would the range for the middle 99% of salaries differ from the 95%?
- Can a salary of €50,000 be considered an outlier in this distribution?
Tip:
The z-score is key in solving normal distribution problems. Memorizing common z-values (e.g., ±1.96 for 95%) can save time!
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Normal Distribution
Z-scores
Probability
Percentiles
Formulas
z = (x - μ) / σ
P(x ≤ x₀) = cumulative probability from z-tables
Middle k% range: μ ± z * σ
Theorems
Empirical Rule
Standard Normal Distribution
Suitable Grade Level
Undergraduate (Statistics/Probability Course)
Related Recommendation
Normal Distribution: Probability, Z-Scores, and Salary Adjustments
Normal Distribution Wage Problem: Calculate Percentages and Number of Workers
Salary Distribution Analysis: Highest Salary and Living Wage Percentage
Normal Distribution: Calculating Standard Deviation and Probabilities for Transportation Costs
Calculate Mean and Standard Deviation of Annual Salaries with Adjustments