Why does adding a pre-test improve the internal validity of a post-test only nonequivalent control group design and make this non-experiment become a quasi-experiment? (/1)To explain your answer use this scenario: You want to determine if grade 3 EQAO scores differ in students that receive a special mathprogram vs. the typical math curriculum. In what ways can adding a pre-test control for assignment bias (/1)Maximum number of characters (including HTML tags added by text editor): 32,000Show Rich-Text Editor (and character count)7820MAR6étv4吕O F3888) F1ZF10FIIF7FBF9F2F4F5%23$%&5789%3DERYP

Given A pretest-posttest non equivalent control group design controls some for group differences by…

Answered: Why does adding a pre-test improve the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response. Diet Low in Processed Foods Normal BP High BP Total College Education 124 55 179 High School Education 69 152 221 Total 193 207 400 Diet High in Processed Foods Normal BP High BP Total College Education 64 85 149 High School Education 98 153 251 Total 162 238 400 The chi square value of 37.724 is higher than the chi square value of 3.84; therefore, we can accept H0 at…
What does an interaction in two-way ANOVA mean? (I’m not asking what it looks like graphically, but what does it mean?)
1. Define the critical region for a hypothesis test and explain how we use it to support or reject our null and alternative hypotheses. 2. Identify and explain the influence of the three factors that affect the value of the z-score in a hypothesis test. 3.Identify the steps of a hypothesis test and what additional measure should always be included. 4. Describe the difference between type I and type II error
A researcher wants to see if gender and / or income affects the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affects the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. Below is the data set followed by the results:
A researcher notes that there seems to be a difference in the prevalence of individuals who are insured and have high levels of education along with a high socioeconimic status and the prevalence of individuals who are uninsured and have low levels of education along a low socioecnonomic status. Use the appropriate hypothesis to test for independence of two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then interpret your response. Low Level of Education Low Medication Adherance High Medication Adherence Low Health Literacy 91 9 100 High Health Literacy 9 291 300 Total 100 300 400 High Level of Education Low Medication Adherence High Medication Adherence Low Health Literacy 96 4 100 High Health Literacy 4 296 300 Total 100 300 400 Multiple Choice The chi-square value of 6.437 is higher than the chi-square…
In a clinical trial of the effectiveness of echinacea for preventing colds, the results in the table below were obtained. Use a 0.05 significance level to test the claim that getting a cold is independent of the treatment group. What do the results suggest about the effectiveness of echinacea as a prevention against colds? Can we conclude that the prevention against colds relies on the use of echinacea? Treatment Group Placebo Echinacea: 20% extract Echinacea: 60% extract Got a Cold 82 45 41 Did Not Get a Cold 11 2 9 Round to four decimal places if necessary. a) Write the hypotheses b) The expected frequency of people who used 20% extract of Echinacea and got a cold is . The expected frequency of people who used 40% extract of Echinacea and did not get a cold is . c) significance level: α = d) Test statistic: e) Compute p-value of the test statistic. f) Decision: g) Write conclusion
In a one-way ANOVA, what does it mean to reject the statement in the null hypothesis if three treatment groups are being compared? Choose the correct answer below. A. Rejecting the statement in the null hypothesis means that there is insufficient evidence to conclude that the mean of one of the populations is different than the other two or that all three populations are different. B. Rejecting the statement in the null hypothesis means that one of the conditions for performing a one-way ANOVA was not met. C.Rejecting the statement in the null hypothesis means that there is sufficient evidence to conclude that the mean of one of the populations is different than the other two or that all three populations are different. D. Rejecting the statement in the null hypothesis means that there is sufficient evidence to conclude that the means of all three populations are different.
A researcher wants to compare scores on two different IQ tests (A and B). Six randomly selected people take test A on one day and then they take test B the next day. What is the critical value for the rejection region if the researcher wants to conduct a lower-tailed test using a 10% significance level?
Why Experimental group subjected to the treatment used whose performance is compared and analyzed according to the performance of the control group on a dependent variable? Randomization Why the researcher assigns subjects to a control or experimental group on a random basis which gives every subject an equal chance of being assigned to any group? Why Internal validity the degree to which changes in the dependent variable can be attributed to the independent variable? Why External validity - the degree to which study results can influenced or affected by other populations and settings?
A researcher notes that there seems to be a difference in the prevalence of individuals who are medication adherent and have high levels of education along with a high health literacy and the prevalence of individuals who are not medication adherent and have low levels of education along with a low health literacy. Use the appropriate hypothesis to test for independence of two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then interpret your response. Low Level of Education Low Medication Adherence High Medication Adherence Total Low Health Literacy 91 9 100 High Health Literacy 9 291 300 Total 100 300 400 High Level of Education Low Medication Adherence High Medication Adherence Total Low Health Literacy 96 4 100 High Health Literacy 4 296 300 Total 100 300 400 A) The chi square value of 6.437 is higher than the…
Suppose a researcher wants to perform ANOVA to test at 5% significance level if there is a significance difference exists between the population means of the three different brands? Question 1) Which is the correct null and alternative hypothesis. H0: At least one ui is different H1: u1 = u2 = u3 H0: u1= u2 = u3 H1: At least one ui is different H0: u1 = u2 = u3 =0 H1: At least one ui is equal to zero H0: ui = 0 H1: ui does not = 0 Question 2) Calculated test statistic is: F= Question 3) In order to calculate the critical value, the first degrees of freedom is: The second degrees of freedom is: The critical value is: Question 4) What is the conclusion Reject H0 Fail to Reject H0 Brand Ni Xi Si A. 44 47 44 40 39 5 42.8 3.27 B. 30 32 34 36 38 40 42 7 36 4.32 C. 28 27 31 32 36 5 30.8 3.56
A researcher wants to see if gender and/or income affect the total amount of help given to a stranger who is sitting on the side of a busy road with a sign asking for help. The independent variables are gender, income, and the interaction of gender and income. The dependent variable is total help. He wants to know if one or both factors – or the interaction of the two - affect the total amount of help offered. Because he is analyzing two independent variables (gender and income), he used a factorial ANOVA. His results show the main effect of each of the independent variables on the dependent variable (total help) and the interaction effect. The researcher is using a 95% confidence interval which means that he wants to be at least 95% sure that his independent variables affected total help if he rejects the null hypothesis. What is one research hypothesis (there are three possible hypotheses here name them all if you can but naming at least one is required)?

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS