Through research, a fresh producepacker has determined that out ofevery n=500 oranges, they shouldexpect to see a proportion of defectiveoranges of= 0.033. Determine the upper limit foran np-chart (tracking number ofdefective oranges) with the sample sizebeing n=500. Enter your answer to twodecimal places.

Answered: Through research, a fresh produce…

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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At an early stage of clinical trials of a certain method of gender selection, 8 couples using that method gave birth to 7 boys and 1 girl. Complete parts (a) through (e) below. a. Assuming that the method has no effect and boys and girls are equally likely, use the range rule of thumb to identify the limits separating values that are significantly low and those that are significantly high (for the number of boys in 8 births). Based on the results, is the result of 7 boys significantly high? Significantly low values for the number of girls in 8 births are ___and lower. Significantly high values for the number of girls in 8 births are ___ and higher. The result of 7 girls ____ Significantly high. (round to one decimal place as needed) b. Find the probability of exactly 7 boys in 8 births, assuming that the method has no effect. (round to six decimal places as needed) c. Find the probability of 7 Or More boys In 8 births, assuming that the method has no effect. (round to six…
A random sample of 80 voters found that 44% were going to vote for a certain candidate. Find the 99% limit for the population proportion of voters who will vote for that candidate.
It is believed that the percent of female STEM majors at a particular college Is 29%. a)Say we select 15 random females from this college. Is this sample “large enough” to use the Central Limit Theorem for proportions? Use the conditions
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The Central Limit Theorem is important in statistics because for any population, it says the sampling distribution of the sample mean is approximately normal, regardless of the sample size. for a large n, it says the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population. for any sized sample, it says the sampling distribution of the sample mean is approximately normal. for a large n, it says the population is approximately normal.
The average hole diameter of a bushing resulting from a production process is 42 mm. On average 18 out of 20 these bushing diameter values lie between 41.6 and 42.4 mm. If now 90 samples are randomly taken, each consisting of 16 bushings, and the average price of each sample of these 90 samples is depicted as points on a map with the lower and upper limits of 41.9 and 42.1 mm, respectively. Determine how many points of this imagery lie outside this boundary.
The central limit theorem states that if all possible random samples of sizeNare drawnfrom a population with a mean ofμ ̄Xand a standard deviation ofσ ̄X, then asNbecomeslarger, the sampling distribution of sample means becomes approximately (_______) with a mean of (______) and a standard deviation of (______). Fill in the blanks
In a café, the manager wishes to estimate p, the proportion of customers who will order sandwich for their lunch. Suppose 30 out of 300 customers will order sandwich for their lunch. Find the probability that more than 40 customers will order sandwich for their lunch by using a suitable approximation
What is the z0 and Pvalue ?
The central limit theorem proposes that: The distribution of sample means will be approximately normal in shape only if the underlying population distribution is normal and provided that sample sizes are large enough (i.e., N = 30 or greater) The distribution of sample means will be approximately normal in shape only if the original sample distribution was normal The mean of any given sample will approximately equal the population mean The distribution of sample means will be approximately normal regardless of the original sample distribution shape, provided sample sizes are large enough (i.e., N = 30 or greater)
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