Mathematics

Mathematics, 19.10.2019 21:30, beausisugpula

The square of a number plus five

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Mathematics, 07.07.2019 02:00, hawszanderpelv2v

The number of flaws per square yard in a type of carpet material varies with mean 1.5 flaws per square yard and standard deviation 1 flaws per square yard. this population distribution cannot be normal, because a count takes only whole-number values. an inspector studies 166 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. use the central limit theorem to find the approximate probability that the mean number of flaws exceeds 1.6 per square yard.

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Advanced Placement (AP), 13.07.2019 22:30, tiwaribianca475

Agricultural density measures a. the number of bushels of grain produced per square kilometer. b. the number of farmers per square kilometer c. the number of people per square kilometer of farmland d.the number of food stores per square kilometer e. the number of farms per square kilometer

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Mathematics, 29.07.2019 19:30, AM28

I'll give brainliest if you show your work. plz answer quickly. which statements are true? check all that apply. the square root of a positive number greater than 1 is less than the number. the square root of a positive number is always less than half of the number itself. the square root of a positive number less than 1 is less than the number. the square root of a perfect square is not a whole number. the square root of a positive number less than 1 is between 0 and 1.

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Mathematics, 02.09.2019 10:20, viktoria1198zz

The number of flaws per square yard in a type of carpet material varies with mean 1.4 flaws per square yard and standard deviation 1.2 flaws per square yard. this population distribution cannot be normal, because a count takes only whole-number values. an inspector studies 178 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. use the central limit theorem to find the approximate probability that the mean number of flaws exceeds 1.5 per square yard.

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