Two batches of a certain product (including 32 and 70 items, respectively) are readied for shipment The product is known to be manufactured with a mean weight of 560 mg and standard deviation of 70 mg. Infer the following about their sample means (measurement are recorded as continuous values). Click here to view page 1 of the standard normal distribution table Click here to view page 2 of the standard normal distribution table. (a) The probability that X,-X2 will be more than 24 mg is (Round to four decimal places including any zeros.) (b) The probability the X, -X, will be between 3 and 11 mg is. (Round to four decimal places including any zeros.)

Two batches of a certain product (including 32 and 70 items, respectively) are readied for shipment The product is known to be manufactured with a mean weight of 560 mg and standard deviation of 70 mg. Infer the following about their sample means (measurement are recorded as continuous values). Click here to view page 1 of the standard normal distribution table Click here to view page 2 of the standard normal distribution table. (a) The probability that X,-X2 will be more than 24 mg is (Round to four decimal places including any zeros.) (b) The probability the X, -X, will be between 3 and 11 mg is. (Round to four decimal places including any zeros.)

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

An ecologist is studying the impact of local polluted waters on the growth of alligators. The length of adult male alligators typically follows a normal distribution with a standard deviation of 2 feet. The ecologist wants to estimate the mean length of this population of alligators. Suppose she samples n alligators at random and uses the sample mean, X to as an estimator for u. a. What is the bias and variance of the estimator? (Note, these may be a function of n.) b. If n = 4, what is the probability that the estimator is within one foot of the true mean? (I.e. find P(|X – µ| < 1). c. What sample size, n, is required for the estimator to be within one foot of the true mean with 95% probability? (I.e. find the value of n that satisfies P(|X – µ| < 1) = 0.95.) d. Suppose the ecologist ends up sampling n = 9 alligators and calculates a sample mean of ī = 10.4 feet. Construct a 95% confidence interval for the population mean. e. Give an interpretation for the interval obtained in (d).
The degenerative disease osteoarthritis most frequently affects weight-bearing joints such as the knee. Stance duration (ms) was measured in separate samples of younger and older adults. younger: n=22 mean=801 s=117 older: n=16 mean=780 s=81 Test the claim that the true average stance is different between younger and older adults. Let population 1= younger population 2= older a. What is the appropriate procedure to test the claim? b.What is the degrees of freedom? Use the conservative formula. c.At 0.05 significance level, what is/are the critical value/s? d.What is the value of the test statistic? Use 2 decimal places e.Construct a 95% confidence interval estimate, what is the margin of error? Use 2 decimal places.
The length of a movie file that is available for streaming is modeled using the normal distribution shown below
The annual per capita consumption of oranges (in pounds) in the United States can be approximated by a normal distribution. The mean annual per capita of oranges is 19.2 with a standard deviation of 4 pounds. what annual per capita consumption of oranges represents the 5th percentile?
Solve for part (b)
The weight of all cans of coffee has a standard deviation of 0.76 ounces. A sample of 48 cans of coffee is taken study. Which of the following best describes the distribution of x¯?A. The distribution of x¯ is normal becuase it is always normalB. The distribution of x¯ may not be approximately normal because n = 48C. The distribution of x¯ is approximately normal becuase n = 48D. The distribution of x¯ is not normal because the population is normalE. None of the above
Use Chebyshevs rule and the empirical rule to describe the distribution of this data set. Count the actual number of observations that fall within one, two, and three standard deviations of the mean if the data set and compare these counts with the description of the the data set I developed.
Two normal distributions are compared. One has a mean of 10 and a standard deviation of 10. The second normal distribution has a mean of 10 and a standard deviation of 2. Which of the following is true? The dispersions of the distributions are different. The dispersions of the distributions are the same. The distributions are from two different families of distributions. The locations of the distributions are different.
Solve it correctly please. I will rate accordingly
This is for statistics
Please just answer C
How can a value for z be determined if it is not found in normal distribution table. For example, if I want to calculate phi of 3.33 what is it going to be?