Math Problem Statement
Solution
Let's go through the questions shown in your homework image step-by-step:
Provided Data:
The data represents the time (in minutes) that it took a random sample of students to finish an exam:
17.9 24.9 28.6 32.7 39.4 42.4 49.6 52.1
37.4 29.9 36.2 42.3 36.4 23.2 41.5 37.4
18.6 39.4 38.5 21.8 30.3 30.3 53.6 41.5
33.7 44.8 43.3 35.2 42 35.6 26 38.1
35.2 37 35.2 30.1 29.6 33 53.6 29.9
Questions:
(a) Calculate (the mean). (b) Calculate the range. (c) Calculate (the sample variance). (d) Calculate (the standard deviation). (e) Calculate the z-score for a student who finished the exam in 39.4 minutes.
Let me calculate these step-by-step.Here are the results based on the provided dataHere are the results based on the provided
(a) Mean (): minutes (rounded to two decimal places).
(b) Range: minutes (difference between the highest and lowest values).
(c) Sample Variance (): (rounded to two decimal places).
(d) Standard Deviation (): minutes (rounded to two decimal places).
(e) Z-score for a student who finished the exam in 39.4 minutes: (rounded to two decimal places).
Would you like more details or further explanation on any part?
Here are 5 related questions you can explore:
- How does the variance relate to the standard deviation?
- What does the z-score indicate about the student's performance?
- How would the mean change if the highest score were increased?
- How can we interpret the range in the context of this data?
- What if the sample size were larger? How would that affect the variance?
Tip: Z-scores help in comparing different data points from the same or different datasets by normalizing their values relative to the mean and standard deviation.
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Math Problem Analysis
Mathematical Concepts
Statistics
Descriptive Statistics
Z-Score
Formulas
Mean (x̄) = Σx / n
Range = Max - Min
Sample Variance (s²) = Σ(x - x̄)² / (n - 1)
Standard Deviation (s) = √s²
Z-score = (x - x̄) / s
Theorems
Central Limit Theorem
Properties of Variance and Standard Deviation
Suitable Grade Level
High School or College-level Statistics
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