KOne characteristic measured about high schools is thepercent free lunch, which is the percentage of the studentbody that is eligible for free and reduced-price lunches.The top 100 schools, grouped according to their percentfree lunch, is as follows.Percent free Number of top 100lunch (x) ranked high schools0≤ x<104010 ≤ x<202520≤x≤301251830≤ x<4040 ≤ XIf stratified random sampling with proportionalallocation is used to select a sample of 25 highschools, how many would be selected from thestratum with a percent-free-lunch value of 40 ≤ x?(Round up to the nearest integer.)jeererotourhowEI

Given data table is,Percent free lunch (x)Number of top 100 ranked high schools402512518

Answered: K One characteristic measured about…

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...

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Online customer service is a key element to successful online retailing. According to a marketing survey, 30% of online customers take advantage of the online customer service. Assume the population proportion of those who use online customer service is 0.30. Random samples of 100 customers are selected. 95% of the sample proportions centered symmetrically about the sampling distribution mean will be between _________________ and _________________.
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(Extra credit) 14. Let X denote the number of times a control machine malfunctions: 1, 2, 3 on any given day. Let Y denote the number of times a technician is called on an emergency call. The joint distribution of X and Y are:
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Emily is calculating an ANOVA. How should she calculate the degrees of freedom between groups? Group of answer choices (n-1)/k N-k k-1 n-1
A sample mean is calculated from a sample of size 20. How many degrees of freedom does the sampling distribution of sample means have? 18 19 20 21
Let's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…
The purpose and intent of the assignment is to help you better understand the sampling distribution of the mean. The class sampling exercise In class we conducted a sampling exercise. The population consisted of 25 elements. The possible values for the elements in the population ranged from 1 to 9 and were distributed as follows: Value Frequency Proportion Percentage 1 1 0.04 4% 2 2 0.08 8% 3 3 0.12 12% 4 4 0.16 16% 5 5 0.2 20% 6 4 0.16 16% 7 3 0.12 12% 8 2 0.08 8% 9 1 0.04 4% As in the class exercise, 10 elements are drawn replacing each element before the next is drawn. This was done 1000 times. The data set is given in a separate…
How would you create a statistical analysis based on the scenario below? Explain. What level of significance would you test at and why? A researcher is examining preferences among four new flavors of ice cream. A sample of n = 80 people is obtained. Each person tastes all four flavors and then picks a favorite. The distribution of preferences is as follows. Do these data indicate any significance preferences among the four flavors using the chi-square test? Ice Cream Flavor A B C D 12 18 28 22
Task: A company's trainees are randomly assigned to groups which are taught a period they are tested for inspection performance quality. The following are their scores. Method A: 80, 83, 79, 85, 90, 68 Method B: 82, 84, 60, 72, 86, 67, 91 Method C: 93, 65, 77, 78, 88. Use the H test to determine at the 0.05 level of significance whether the three methods are equally effective.
Consider the population described by the probability distribution shown below. The random variable is observed twice with independent observations, as shown below. Complete parts a and b. Full data set X 3 4 5 6 p(x) 0.2 0.2 0.3 0.3 a. Complete the sampling distribution table. Type the medians in ascending order. Median 3 5 6 Probability || 0.08 0.24 (Simplify your answers. Type integers or decimals.) 4 0.18 (…) 0.04 Sample |3,3 3,4 3,5 Probability 0.04 0.06 Sample 5,3 5.4 Probability 0.06 0.06 3,6 4,3 0.06 0.04 4,4 4,5 4,6 0.04 0.06 0.06 5,5 5.6 6,3 6,4 0.09 0.09 0.06 0.06 6,5 6,6 0.09 0.09
You intend to conduct a test of independence for a contingency table with 6 categories in the column variable and 6 categories in the row variable. You collect data from 838 subjects. What are the degrees of freedom for the x distribution for this test? d.f. = Submit Question

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