Describe a situation in which we should be using a higher criterion and a situation where we should use a lower criterion. Explain whether the risk of type I and type II errors be offset by increased efficiency of effort

Describe a situation in which we should be using a higher criterion and a situation where we should use a lower criterion. Explain whether the risk of type I and type II errors be offset by increased efficiency of effort

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

A company in the FMCG category wanted to test whether different package sizes of their floor cleaning liquid have an impact on sales. The different package sizes were 500ml, 1L, 2L, and 2.5 L. The company conducted Research in Mumbai and the results of the research are presented in the following table. `Source of variation Sum of squares Degrees of freedom Mean squares F-Ratio P-value Between groups ? ? ? 5.321 0.005 Within groups ? ? 1.387 Total 60.976 31 a). Identify the type of design. b) Fill in the spaces in the blank. c) Find out the number of observations. d) State the null and alternate hypotheses. e) What conclusion can be drawn from the table.
Could you please highlight the correct answer. and explain it
Automation refers to the use of strategies & tools which augment or reduce the need ofmanual or human involvement in unskilled, repetitive or redundant tasks.Give three (3) benefits of automated testing.
You are interested in understanding the impact of Student Teacher Ratios (STR) on Test Scores (i.e., STR is your variable of interest and Test Scores are your outcome variable). Let’s pretend you have 2 models and you must only pick 1. The models along with mock results are in the table below. The coefficients are presented with standard errors in parenthesis. Further assume that the STR coefficient in Model 1 is less biased than the STR coefficient in Model 2. But as you can see, the STR coefficient in Model 2 is more precisely estimated (it’s statistically significant) than the coefficient in Model 1. Which model (Model 1 or Model 2) do you prefer and why. X1 and X2 are different control variables. You do not need to know what they are in order to answer this question – you only need to know that they are different. Y = Test Scores Model 1 Model 2 STR -1.4 (0.9) -3.7** (0.9) X1 5.6** (2.2) X2 4.6** (2.1) Constant 680*** (45)…
Show all your work Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. Researchers are studying two populations of sea turtles, In population D. 30 percent of the turties have a shell length greater than 2 feet. In population E. 20 percent of the turtles have a shell length greater than 2 feet. Froma random sample of 40 turtes selected from D.15 had a shell length greater than 2 feet. From a random sample of 60 turtles selected fromE. 11 had a shell length greater than 2 feet. Let pry represent the sample proportion for D, and let p represent the sample proportion for E (a)What is the value of the difference pryPr?Show your work. (b) What are the mean and standard deviation of the sampling distribution of the difference in sample proportions p P:? Show your work and label each value. (c) Can it be assumed that the sampling distribution of the difference of the…
Cardiorespiratory fitness is widely recognized as a major component of overall physical well-being. Direct measurement of maximal oxygen uptake (VO2max) is the single best measure of such fitness, but direct measurement is time-consuming and expensive. It is therefore desirable to have a prediction equation for VO2max in terms of easily obtained quantities. A sample is taken and variables measured are age (years), time necessary to walk 1 mile (mins), and heart rate at the end of the walk (bpm) in addition to the VO2 max uptake. The following output is from a multiple regression. Based on the F-test alone, what is the correct conclusion about the regression slopes? We did not find significant evidence to conclude that at least one slope differs from zero. 2) We do not have the dataset, therefore, we are unable to make a conclusion about the slopes. 3) All the regression slopes do not equal zero.…
PLE collects a variety of data from special studies, many of which are related to the quality of its products. The company collects data about functional test performance of its mowers after assembly; results from the past 30 days are given in the worksheet Mower Test. In addition, many in-process measurements are taken to ensure that manufacturing processes remain in control and can produce according to design specifications. The worksheet Blade Weight shows 350 measurements of blade weights taken from the manufacturing process that produces mower blades during the most recent shift. Elizabeth Burke has asked you to study these data from an analytics perspective. Drawing upon your experience, you have developed a number of questions: For the mower test data, what distribution might be appropriate to model the failure of an individual mower? What fraction of mowers fails the functional performance test using all the mower test data? What is the probability of having x failures in the…
You wish to test whether a particular drug manages to bring body temperature down. So, you conduct a pilot study where 47 people receive the drug, and 45 people receive a placebo. The body temperatures of patients from the treatment group are group 1 (variable X1); those from the placebo group are group 2 (variable X2). What is the research hypothesis? mu1 > mu2 mu1 ≠ mu2 mu1 < mu2 mu1 = mu2
9. You want to know if college students have more stress in their lives than the general population (u=12), so you gather data from 25 people to test your hypothesis. Your sample has an average stress score of X=13.11 and an SD of s=3.89. Use a 1-sample t-test to see if there's a difference. please explain without excel because I cannot access thank you much !
Please answer iv, v, vi
Case scenario: A cohort study involved an assessment of the relationship between cigarette smoking and incuof lung cancer. For cigarette smokers, the lung cancer incidence rate was Iexp = 200 per 100,000. For nonsmokers, the lung cancer incidence rate was Iunexp = 25 per 100,000. The lung cancer incidence rate in the entire population was Itotal = 100 per 100,000. A) what is the relative risk (risk ratio) of developing lung cancer? Interpret this value in plain language? B) calculate the attributable risk and interpret this value in plain language? C) calculate the attributable-risk percent and interpret this value in plain language? D) is cigarette smoking a risk factor for lung cancer? Explain your answer. E) Hypothetically speaking, if cigarette smoking could be eliminated from this population, what percentage of lung cancer could be avoided?
If a treatment is expected to decrease scores in a population with µ= 30, then the alternative hypothesis is µ ≤ 30. True or false?