Interpret these results of a Two-Way Anova Analysis with the given info. Table Analyzed Neuron volumeTwo-way ANOVA OrdinaryAlpha0.05Source of Variationsummary Significant?Interaction 29.96Age 1.087 0.3974 nsGender52.01ANOVA tableInteractionP=0.0006Age 0.0005760P=0.3974GenderP<0.0001ResidualInteraction CISSDF0.01588 110.008976% of total variationDifference between column meansMean of MaleMean of FemaleDifference between0.02756 1-Data summary0.0006SE of difference95% CI of differenceSE of difference95% CI of differenceNo<0.0001 ****Difference between row meansMean of 25 dMean of 55 dDifference betweenMean diff, A1 - B1Mean diff, A2 - B2(A1-B1) (A2-B2)95% CI of difference0.12950.04650meansNumber of rows (Age)Number of valuesmeans 0.083000.013670.082000.094000.01367-(B1A1) (B2 - A2)95% CI of difference0.020000.1460***16YesMSF (DFn, DFd)0.01588 F (1, 12) = 21.220.000576012Yes0.02756 F (1, 12) = 36.84P value P value-0.01200Number of columns (Gender) 20.05321 to 0.1128F (1, 12) = 0.77010.0007480-0.04179 to 0.017792-0.1260-0.1856 to 0.066410.12600.06641 to 0.1856P value Volume (mm3)0.25-0.20-0.15-0.100.05-0.00Neuron volumeT25 d55 dMaleFemale

The following data is given.Source of Variation: InteractionSum of Squares (SS): 0.01588Degrees of…

Answered: Table Analyzed Neuron volume Two-way…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Reports show that 92% of online searches in March 2021 use Google as the search engine. A network administrator wants to determine whether the percentage of searches that use Google is different in their company. They sample 800 searches and find that 758 of them use Google. Can they conclude that the percentage of searches that use Google in this company differs from 92%? Use the a = 0.05 level of significance.
An ANOVA would help establish a cause-effect relationship true or false?
Suppose a researcher studied sleeping patterns in second-, fourth-, and sixth-grade children, and there were 7 students in each group, showing sleep periods in minutes below. Grade 2nd 4th 6th 580 525 562 570 575 532 594 497 565 543 478 537 552 517 525 506 455 493 537 532 490 Mean minutes participants slept 562.57 527.00 505.43 Suppose the researcher found significant ANOVA test result: the observed F statistic is 7.14 at alpha= .05 level, and the researcher made the decision to reject the null hypothesis. Finish up the ANOVA test with your interpretation in terms of the research question (you do not need to perform the test, just provide interpretation based the information available). Your interpretation: Given MSerror= 41, conduct the Tukey’s HSD post-hoc test to determine which groups differed significantly from one another. Include your calculation work, and show each comparison and state the outcome of each…
If there is an overall significant F in a one way ANOVA, can we conclude that the group membership or treatment variable caused the observed differences in the group means? Why or Why not?
State the two-way ANOVA identity for degrees of freedom and interpret its meaning with regard to partitioning the total degrees of freedom in the data.
For what is two-way ANOVA used?
When might removing individual differences in ANOVA not be advantageous in a repeated-measures design?
Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, no-shows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system. However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: ŷ=4.35+8.81x and MSE=94.4236. Point Estimate for customers who arrive with 3 people on the wait list is 30.8 minutes. a. Develop a 95% confidence interval for the mean waiting time for a customer who arrives with three customers already in line (to 2 decimals). b. Develop a 95% prediction interval for Roger and Sherry Davy's waiting time if there are three…
A researcher compares differences in positivity between participants in a low-, middle-, or upper-middle-class family. If she observes 15 participants in each group, then what are the degrees of freedom for the one-way between-subjects ANOVA?
Coin Tossing. A balanced dime is tossed twice. The four possible equally likely outcomes are HH, HT, TH, TT. Let A= event the first toss is heads,B= event the second toss is heads, andC= event at least one toss is heads. Determine the following probabilities and express your results in words. Compute the conditional probabilities directly; do not use the conditional probability rule. a.P(B)b.P(B| A)c.P(B|C)d.P(C)e.P(C| A)f.P(C| (not B))
You supervise a YouTube channel that focuses on reviews for movies and television shows. You look at 5 different ways viewers reach your videos. You want to find out if there are better avenues for viewers to find your videos compared to others. You look at your 10 strongest videos and looked at the amount of views over the past day based on how viewers found the videos. Construct a One Way ANOVA to test if there are differences in average views for each avenue for finding videos.
A researcher is interested in seeing what effect a particular type of drug has on an intelligence test, depending on the time of day that the pill is administered. The researcher computes a two-way ANOVA and plots the resulting cell means on the graph at right. Assuming that any obvious differences are statistically significant Is there a main effect for type of pill? Is there a main effect for time of day? Is there an interaction? 4. Describe the findings of the study in everyday terms

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