Please answer Part b,c,d correctlyd) Explain in context what your interval means. Select the correct choice below.A. 95% of all bags of tortilla chips will have a mean weight that falls within the interval.B. 95% of the weights of the bags of tortilla chips will be contained in the interval.C. The interval contains the true mean weight of the contents of a bag of tortilla chips 95% of the timeD. We are 95% confident that the interval contains the true mean weight of the contents of a bag of tortilla chips Students investigating the packaging of tortilla chips purchased 6 bags of chips marked with a net weight of 29.5 grams. They carefully weighed the contents of each bag, recording the following weights (ingrams): 29.4, 28.2, 29.2, 28.9, 28.8, 28.6. Complete parts a through f below.a) Do these data satisfy the assumptions for inference? Explain.O A. The Randomization Condition is met. The histogram is extremely skewed right, so the Nearly Normal Condition is not met.O B. The Randomization Condition is not met and cannot be assumed to be true. The histogram is unimodal and roughly symmetric, so the Nearly Normal Condition is met.OC. The Randomization Condition is met. The histogram is bimodal and not symmetric, so the Nearly Normal Condition is not met.D. The Randomization Condition may not be satisfied. However, it is reasonable to think that these bags are representative of all bags of chips. The histogram is unimodal and roughly symmetric, so theNearly Normal Condition is met.b) Find the mean and standard deviation of the weights.y= gramsS=grams(Round to two decimal places as needed.) c) Create a 95% confidence interval for the mean weight of such bags of chips.grams(Round to one decimal place as needed.)

The random variable X is the weight of the tortilla chips bag. Given data is as follows, 29.4…

Answered: c) Create a 95% confidence interval for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Please answer Part b,c,d correctly

d) Explain in context what your interval means. Select the correct choice below.

A. 95% of all bags of tortilla chips will have a mean weight that falls within the interval.

B. 95% of the weights of the bags of tortilla chips will be contained in the interval.

C. The interval contains the true mean weight of the contents of a bag of tortilla chips 95% of the time

D. We are 95% confident that the interval contains the true mean weight of the contents of a bag of tortilla chips

Students investigating the packaging of tortilla chips purchased 6 bags of chips marked with a net weight of 29.5 grams. They carefully weighed the contents of each bag, recording the following weights (in
grams): 29.4, 28.2, 29.2, 28.9, 28.8, 28.6. Complete parts a through f below.
a) Do these data satisfy the assumptions for inference? Explain.
O A. The Randomization Condition is met. The histogram is extremely skewed right, so the Nearly Normal Condition is not met.
O B. The Randomization Condition is not met and cannot be assumed to be true. The histogram is unimodal and roughly symmetric, so the Nearly Normal Condition is met.
OC. The Randomization Condition is met. The histogram is bimodal and not symmetric, so the Nearly Normal Condition is not met.
D. The Randomization Condition may not be satisfied. However, it is reasonable to think that these bags are representative of all bags of chips. The histogram is unimodal and roughly symmetric, so the
Nearly Normal Condition is met.
b) Find the mean and standard deviation of the weights.
y= grams
S=
grams
(Round to two decimal places as needed.)

c) Create a 95% confidence interval for the mean weight of such bags of chips.
grams
(Round to one decimal place as needed.)

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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