An educational psychologist is examining response times to an on-screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronouncedeffect for different color contrasis. She decides to examine a black on white (B/W) combination compared to 2 alternatives: red on white (R/W) and yellow on blue (Y/B). Here is thedata for response times (in milliseconds):Color SchemeB/WR/WY/B32202544352134104416-172123202121244211725151915253523384718392230Age 18-1936173715143820402819262820-21382619Using MS Excel, conduct a 2-wày ANOVA with a = 0.05. Fill in the summary table: Pvalues should be accurate to 4 decimal places and all other values accurate to 3 decimalplaces.FratioPartialSourcedfMSPvalueAge (A)Color (BInteraction (A x B)24Crror63Provide the conclusions for this 2-way ANOVA.What is the conclusion regarding the main eflect for age (A or rows:OThere appears to be an effect due to age.O There is not enaugh evidence to reject the assumption that the marginal means across age groups are equal.What is the conclusion regarding the main eflect for color (Ber columnstOThere appears to be an effect due to color.O There is not enough evidence to reject the assumption that the marginal means across color groups are equal.What is the conclusion regarding an interaction eflect between age and color (A x B:O There appears to be an interaction effect between age and color.O There is not enaugh evidence to reject the assumption af a lack of an interaction.

(a). What is the conclusions regarding the main effect for age: The two factors are: Age and Colour scheme. The conclusions regarding the main effect of age or not. The hypotheses to be tested are: Null hypothesis: H01: There is no main effect of age. Alternative hypothesis: Ha1: There is a main effect of age. The test is conducted here by using EXCEL. Software procedure: The step-by-step procedure to conduct the 2 -way ANOVA test is given below: Enter the data in EXCEL sheet. Select Data > Data Analysis > ANOVA: Two- factor With Replication> OK. In Input Range enter $A$1:$D$25. In Number of rows per sample enter Click on Labels in First Row. Click OK. The output using EXCEL is as follows: From the obtained output, the P-value for the factor Age is 0.0441, which is less than level of significance, α = 0.05. So, there is a significant difference in the means of Age at α = 0.05.(b). What is the conclusions regarding the main effect for colour: The conclusions regarding the main effect of colour or not. The hypotheses to be tested are: Null hypothesis: H01: There is no main effect of colour. Alternative hypothesis: Ha1: There is a main effect of colour. From the obtained output, the P-value for the factor Colour schemes is 0.0219, which is less than level of significance, α = 0.05. So, there is a significant difference in the means of colour schemes at α = 0.05. (c). What is the conclusions regarding the interaction effect between age and colour: The conclusions regarding the interaction effect between age and colour. The hypotheses to be tested are: Null hypothesis: H01: There is no interaction effect between age and colour. Alternative hypothesis: Ha1: There is an interaction effect between age and colour. From the obtained output, the P-value for the factor Colour schemes is 0.0232, which is less than level of significance, α = 0.05. So, there is a significant difference in the means of interaction effect between age and colour at α = 0.05.

Math

Statistics

An educational psychologist is examining response times to an on screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/M) combination compared to 2 alternatives: red on white (RW) and yellow on blue (Y/B). Here is the data for response times (in milliseconds):

An educational psychologist is examining response times to an on screen stimulus. The researcher believes there might be a weak effect from age, but expects a more pronounced effect for different color contrasts. She decides to examine a black on white (B/M) combination compared to 2 alternatives: red on white (RW) and yellow on blue (Y/B). Here is the data for response times (in milliseconds):

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 is interested in hamster wheel-running activity during the summer versus the winter. She suspects that either the hamsters will run less during the winter to conserve energy or they will run more to keep warm. She records the activity of n = 25 hamsters during June, July, and August and compares their running-wheel revolutions per hour to the activity of the same hamsters during December, January, and February. The data are collected, and the results show an average difference score of MD = 5.7 and a sum of squares of SS = 2,851.44. What is the estimated standard error of the mean difference (SMD) for this study? (two decimals)
Show work for answers
FOR THIS RESPONSE PLEASE USE EXCEL. I need step-by-step calculations and formulas (formulas for EACH step). A clinical trial is conducted comparing a new pain reliever for arthritis to a placebo. Participants are randomly assigned to receive the new treatment or a placebo, and the outcome is pain relief within 30 minutes. The data are shown in Table 7.8. Is there a significant difference in the proportions of patients reporting pain relief? Run the test at a 5% level of significance.
A veterinarian collects data about puppies in her practice. She makes ascatterplot with their age in days on the horizontal axis and weight in ounces (oz)on the vertical axis and sees that the scatterplot is football shaped. The averageage of the puppies is 42 day, with an SD of 7 days. The average weight is 25 oz,with an SD of 5 oz. The correlation is moderately strong, with r = 0.7.(a) The age of two puppies differ by 20 days. The difference in their weight ispredicted to be ________________ oz.(b) The baseline prediction for the weight of puppies ignores their age and justuses the information from all puppies. The baseline predicted weight is________________ oz and the RMS error for this prediction is ________________ oz.(c) Suppose we converted the units of age from days to weeks. The average ageis now _______________ weeks, with an SD of _______________ weeks. Thecorrelation between age in weeks and weight in oz is nowr = ___________________
A new cream was developed to reduce the irritation caused by poison ivy. To test the effectiveness, researchers placed an ad online asking for volunteers to participate in the study. One hundred subjects replied and were informed that one group would receive the new cream and the other group would Which of the following accurately describes the benefit of comparison in the experiment? O The overall level of irritation can be compared to see if the new cream had a significant effect. O The level of irritation for both groups can be receive a cream with no active ingredient. All 100 subjects were exposed to poison ivy. Fifty were then randomly assigned to the group with the new cream, and 50 were randomly assigned to the group with the cream with no active ingredient. After three days, the subjects' level of irritation was measured. compared to see if the new cream had a significant effect. O The level of irritation in the treatment group only can be compared to see if the new cream had…
A researcher is interested in hamster wheel-running activity during the summer versus the winter. She suspects that either the hamsters will run less during the winter to conserve energy or they will run more to keep warm. She records the activity of n = 25 hamsters during June, July, and August and compares their running-wheel revolutions per hour to the activity of the same hamsters during December, January, and February. The data are collected, and the results show an average difference score of MD = 5. 7 and a sum of squares of SS = 2,851.44. What is the value for degrees of freedom for this repeated-measures t test?
Please assist me
An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular interest was whether higher income would result in shoppers spending more on groceries. A random sample of shoppers at a local supermarket was obtained, and a questionnaire was administered asking about the weekly income of the shopper’s family and the grocery bill for that week. The correlation was found to be r=0.675. The percentage (to two decimal places) of variation in grocery bills explained by the family's weekly income regression line is:
Use this information to answer the following problems: The following statistics describe two variables, X and Y: ř=8.00; y =8.53 s, = 4.47; s, = 5.36 n = 15 E(x-*) (y-9)= 274
A researcher is interested in testing the relationship between height and weight in a sample of 100 people. The sample Pearson's r is calculated to be 0.7. What can the researcher conclude about the relationship between height and weight?
A researcher is interested in hamster wheel-running activity during the summer versus the winter. She suspects that either the hamsters will run less during the winter to conserve energy or they will run more to keep warm. She records the activity of n = 25 hamsters during June, July, and August and compares their running-wheel revolutions per hour to the activity of the same hamsters during December, January, and February. The data are collected, and the results show an average difference score of Mp = 5.7 and a sum of squares of SS = 2,851.44. What is the value for degrees of freedom for this repeated-measures t test?
Dr. Wright, a researcher at the Young County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = 0.8. The correlation between hours of sunlight and tomato weight is r2 = 0.7. According to this information, which of the following statements are true? Select all that apply. ✓Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from lower soil pH level. ✔Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.