(Round to three decimal places as needed) (e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chips. The probability is (Round to three decimal places as needed.).
(Round to three decimal places as needed) (e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chips. The probability is (Round to three decimal places as needed.).
(Round to three decimal places as needed) (e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chips. The probability is (Round to three decimal places as needed.).
Transcribed Image Text:In an advertising campaign, a snack company claimed that every 18-ounce bag of its cookies contained at least 1000 chocolate chips. Two statisticians attempted to verify the claim. The accompanying
data represent the number of chips in an 18-ounce bag of the company's cookies based on their study Complete parts (a) through (e)
Click here to view the chocolate chip data table.
Click here to view the standard normal distribution table (page 1)_
Click here to view the standard normal distribution table (page 2).
for the distribution of chips in a bag of cookies.
A.
900
Observed
value
T
1200 1500 1800
B.
The probability is
(Round to three decimal places as needed)
600
Observed
value
1000 1400 1800
Observed
value
1000 1400 1800 2200
(d) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains at least 1000 chips.
The probability is 993
(Round to three decimal places as needed)
(e) Using the normal model from part (c), find the probability that an 18-ounce bag of chips selected at random contains between 1300 and 1400 chips
D.
Observed
value
FARE HUA
900 1200 1500 1800
Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...
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