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3. The Whitcomb Company manufactures a metal ring for industrial engines that usually weighs about 50 ounces. A random sample of 50 of these metal rings produced the following weights (in ounces). 51 53 56 50 44 47 53 53 42 57 46 55 41 44 52 56 50 57 44 46 41 52 69 53 57 51 54 63 42 47 47 52 53 46 36 58 51 38 49 50 62 39 44 55 43 52 43 42 57 49 Construct grouped and ungrouped frequency distribution table for the data and interpret the result.

3. The Whitcomb Company manufactures a metal ring for industrial engines that usually weighs about 50 ounces. A random sample of 50 of these metal rings produced the following weights (in ounces). 51 53 56 50 44 47 53 53 42 57 46 55 41 44 52 56 50 57 44 46 41 52 69 53 57 51 54 63 42 47 47 52 53 46 36 58 51 38 49 50 62 39 44 55 43 52 43 42 57 49 Construct grouped and ungrouped frequency distribution table for the data and interpret the result.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 4AGP
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3. The Whitcomb Company manufactures a metal ring for industrial engines that usually weighs about 50 ounces. A random sample of 50 of these metal rings produced the following weights (in ounces). 51 53 56 50 44 47 53 53 42 57 46 55 41 44 52 56 50 57 44 46 41 52 69 53 57 51 54 63 42 47 47 52 53 46 36 58 51 38 49 50 62 39 44 55 43 52 43 42 57 49 Construct grouped and ungrouped frequency distribution table for the data and interpret the result.
Transcribed Image Text:3. The Whitcomb Company manufactures a metal ring for industrial engines that usually weighs about 50 ounces. A random sample of 50 of these metal rings produced the following weights (in ounces). 51 53 56 50 44 47 53 53 42 57 46 55 41 44 52 56 50 57 44 46 41 52 69 53 57 51 54 63 42 47 47 52 53 46 36 58 51 38 49 50 62 39 44 55 43 52 43 42 57 49 Construct grouped and ungrouped frequency distribution table for the data and interpret the result.
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