Identify the factors, factor levels, treatment combinations, experimentalunits, response variable, and blocking factor (if any). a. factors and factor levels: _________________________b. treatment combinations: _________________________c. experimental units: _________________________d. response variable: _________________________e. design structure: _________________________ data: Pesticide 1 Method AShapiro-Wilk normality testW = 1.00000,data: Pesticide 1 Method BShapiro-Wilk normality testW = 0.96429,p-valuep-value = 1.00000.6369data: Pesticide 2 Method AShapiro-Wilk normality testW = 0.98684data: Pesticide 2 Method BShapiro-Wilk normality testW= 0.96429p-value - 0.7804p-value 0.6369Bartlett test of homogeneity of variancesdata: survival time by trmcombinBartlett's K-squared 1.4136, df = 3, p-value = 0.7024Levene's Test for Homogeneity of Variance (center = "mean")Df F value Pr (>F)group 3 0.8718 0.49478Anova Table (Type II tests)Response: survival_timeSum Sq Df F valuePr (>F)0.02851 *method21.33 17.1111pesticide341.33 1 113.77780.000005232 ***0.34659method:pesticide3.00 1 1.000024.00 8Residuals1Signif. codes: 0 ***** 0.001 **** 0.01 *** 0.05 0.1Kruskal-Wallis rank sum testdata: survival time by trmcombinKruskal-Wallis chi-squared = 9.6573, df = 3, p-value = 0.02172 Problem: Mr. Kinalabaw, an owner of a mango plantation, is worried about theincreasing number of fruit piercing moths present in most of the mango trees in hisfarm. He then asked for Concon's help, his trusted statistician, in resolving theproblem. They identified two types of pesticide (1, 2) and two methods ofapplication (A, B). They applied each treatment combination to 3 fruit piercingmoths. Their survival time (in minutes) was recorded.PesticideMethod ofApplicationSurvival Time (in minutes)A3129301B283027A2318202B171518

From the given information, There ate 2 types of pesticides, 2 type of method of applications and…

Identify the factors, factor levels, treatment combinations, experimental units, response variable, and blocking factor (if any). a. factors and factor levels: _________________________ b. treatment combinations: _________________________ c. experimental units: _________________________ d. response variable: _______________

Identify the factors, factor levels, treatment combinations, experimental units, response variable, and blocking factor (if any). a. factors and factor levels: _____________ b. treatment combinations: _ c. experimental units: _ d. response variable: ___

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter10: Matrices

Section10.EA: Extended Application Contagion

Problem 2EA

See similar textbooks

Similar questions

There's a new treatment for addiction and because resources are limited, a program decides it can offer it only to those people whose ASI scores are in the top 10% of scores. What raw score on the ASI would a person have to have to be eligible for the program?
20 out of 200 men randomly selected in a region and 30 out of 300 women are against vaccination. What is the point estimate of the difference between the proportions of non-vaccines between men and women?
In this problem, we use your critical values table to explore the significance of r based on different sample sizes.
A teacher wanted to see if social anxiety affects performance on an oral assignment. To examine this, students completed social anxiety scales and were classified into “Low,” “Average,” and “High” levels of social anxiety. There are 3 columns (15 rows x 3 columns), one column for each of the anxiety levels with oral presentation grades (in percentages) earned by the 45 students. What would be the most appropriate statistical analysis (ANOVA, t-test, etc.) to determine whether grades on the oral assignment differed based on level of social anxiety?
I want general information about TWO WAY ANOVA , and when to use it ?
A health insurance company in country A sells policies to tourists who intend to visit the US for less than 3 months. To limit its financial exposure, it requires applicants to undertake a physical examination and meet specified criteria for different tests. To simplify the problem, let us assume that only one test is done and it measures cholesterol level of the applicant. Historical records in country A indicate that cholesterol level is normally distributed with a mean of 225 milligrams per deciliter (mg/dL) and a standard deviation of 39.5 mg/dL. High cholesterol levels increase the risk of a cardiovascular incident, for which the company may need to make major insurance payouts. The premium charged is a flat $3000/person for those who qualify. For planning purposes, assume the company will get 100,000 applications in a particular year. [show your calculations for all parts] a. The current threshold T for cholesterol is set by the company at 250 mg/dL. Anyone whose test result is…
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. National collegiate athletic association injury data show that female athletes injure the ACL more frequently than their male counterparts do. A sports medicine professor wants to test this claim. He surveyed 5 universities that had both men's and woman's basketball, soccer, and volleyball and asked them how many grade 3 ACL tears they had during the past 5 seasons. Using the following results, are women at greater risk than men for ACL injuries? (use a standard deviation of 0.01, one tail test). Women- 4,3, 5, 2,4 Men- 2, 0, 1 ,2, 1 Calculate the effect size using cohen's d.
A researcher is testing the effect of one independent variable using three treatment conditions. She compares three group means where there are different people in each group. It is best for her to use which type of statistical analysis?
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. National collegiate athletic association injury data show that female athletes injure the ACL more frequently than their male counterparts do. A sports medicine professor wants to test this claim. He surveyed 5 universities that had both men's and woman's basketball, soccer, and volleyball and asked them how many grade 3 ACL tears they had during the past 5 seasons. Using the following results, are women at greater risk than men for ACL injuries? (use a standard deviation of 0.01, one tail test). Women- 4,3, 5, 2,4 Men- 2, 0, 1 ,2, 1 Determine the total degrees of freedom.
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. National collegiate athletic association injury data show that female athletes injure the ACL more frequently than their male counterparts do. A sports medicine professor wants to test this claim. He surveyed 5 universities that had both men's and woman's basketball, soccer, and volleyball and asked them how many grade 3 ACL tears they had during the past 5 seasons. Using the following results, are women at greater risk than men for ACL injuries? (use a standard deviation of 0.01, one tail test). Women- 4,3, 5, 2,4 Men- 2, 0, 1 ,2, 1 Calculate the pooled variance for the data.
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. National collegiate athletic association injury data show that female athletes injure the ACL more frequently than their male counterparts do. A sports medicine professor wants to test this claim. He surveyed 5 universities that had both men's and woman's basketball, soccer, and volleyball and asked them how many grade 3 ACL tears they had during the past 5 seasons. Using the following results, are women at greater risk than men for ACL injuries? (use a standard deviation of 0.01, one tail test). Women- 4,3, 5, 2,4 Men- 2, 0, 1 ,2, 1 If a researcher were to increase the sample size from n=30 participants to n= 80 participants, what effect would this have on statistical power?
Anterior cruciate ligament (ACL) injuries occur most frequently in planting and cutting sports such as basketball, soccer, and volleyball. National collegiate athletic association injury data show that female athletes injure the ACL more frequently than their male counterparts do. A sports medicine professor wants to test this claim. He surveyed 5 universities that had both men's and woman's basketball, soccer, and volleyball and asked them how many grade 3 ACL tears they had during the past 5 seasons. Using the following results, are women at greater risk than men for ACL injuries? (use a standard deviation of 0.01, one tail test). Women- 4,3, 5, 2,4 Men- 2, 0, 1 ,2, 1 What conclusion can be made from these data?