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A quality control analyst collected 200 measurements of length.

A. Statistical analysis
B. Histogram
C. Mean and standard deviation
D. Random sampling

User Xenyal
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Final answer:

Statistical analysis, histogram, mean and standard deviation are useful tools for analyzing 200 measurements of length.

Step-by-step explanation:

Statistical Analysis:

A quality control analyst collected 200 measurements of length. Statistical analysis involves examining data to uncover patterns, trends, and relationships. In this case, the analyst can perform statistical analysis to assess the variability and distribution of the length measurements.

Histogram:

A histogram is a graphical representation of the data distribution. By creating a histogram with the length measurements, the analyst can visualize the frequency of different lengths and identify any patterns or outliers.

Mean and Standard Deviation:

The mean is the average of the length measurements. It provides a measure of central tendency. The standard deviation measures the amount of variability or spread in the data. These measures can help the analyst summarize and compare the lengths.

User Catwell
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