2) The table below compares two samples taken to compare the mean age ofindividuals who purchased the iPhone 3G at two AT&T store locations. Verybriefly, what conclusions can you draw?1t-test, pooled variancet-test, unequal varianceAnn ArborLivoniaAnn ArborLivonia25.8171 31.2480 mean1.8740 std. dev.10 n31.2480 mean1.8740 std. dev.10 n25.81713.38913.38918 df-5.43086 difference (Ann Arbc15 df-5.43086 difference (Ann Arbor - Livonia)6.70157 pooled variance2.58874 pooled std. dev.1.27574 standard error of difference1.41141 standard error of diffO hypothesized differeO hypothesized difference-3.85 t.0024 p-value (one-tailed,-4.26 t.0003 p-value (one-tailed, lower)

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Answered: 2) The table below compares two samples…

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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Compare the result of company A and company B using arithmatic mean,median,mode,variance,standard deviation and coefficient of variance.
What is the best point estimate for the population's variance if the sample variance is 41?
What does less replicates mean in the context of understanding variance of data?
What is the primary use of the One - Way ANOVA model? a. To compare variance of groups b. To test linearity of group mean c. To compare group means d. To test variance of the overall mean
When performing follow-up tests after Analysis of Variance, the problem of multiple comparisons must be addressed in order to keep the familywise Type I Error rate at an acceptable level. In order to do so, tests many be corrected, protected, and/or selected. Briefly explain, using appropriate examples, what is meant by the terms corrected, protected, and selected.
A teacher collects the following data from 5 college students regarding the number of times they drank alcohol in the last 30 days. We know that the population of college students drink a mean of 4.0 days in the last 30 days (i.e., this is the population mean). Is the mean level in the sample significantly different from the population mean? data: 6,5, 7, 6, 4 - what type of error might you be making - interpret effect size
The need to validate the result of any research study is to make sure the groups or participants are in accord when it comes to results. What are some examples of threats to the validity? Would it be what is called confound and error variance. Is confounding when a problem affects one group and not the other group. Does error variance affect one group more than the other group?
1. Show a One-Way ANOVA using the dataset found in the given excel (Sheet name: Smoking). Copy the result of the statistics and provide an interpretation of it. Description of Data: A research was conducted to quantify the effect of cigarette smoking on standard measures of lung function in patients with idiopathic pulmonary fibrosis. 2. Show a Two-Way ANOVA using the dataset found in the given excel (Sheet name: Trauma). Copy the result of the statistics and provide an interpretation of it. Description of Data: The research compares different combinations of four types of psychiatric treatment (A, B, C, and D) and six physical therapy programs (I, II, III, IV, V, and VI). •(NOTE: This is my one last remaining question. So, please answer the two given situations.)
Suppose you have two samples with the following values: Sample 1: 2, 8, 6, 5, 4, 7, 5, 9, 6 Sample 2: 3, 5, 4, 8, 7, 5, 5, 7,6 For Sample 1, what are the values for: Mean Median Mode Standard Deviation Variance
The accompanying table lists pulse rates. Use a 0.05 significance level and apply the methods of two-way analysis of variance. What is the conclusion? Click on the icon to view the data table. State the null and alternative hypotheses in the test for the effect of an interaction between row and column factors. Ho: There interaction between gender and age. H₁: There interaction between gender and age. Pulse Rates for Gender and Age C Under 30 Years of Age Over 30 Years of Age Female 78 103 78 63 61 98 81 98 91 95 77 75 73 65 71 78 61 71 74 55 Female Male 60 81 56 69 68 74 75 68 63 56 46 70 61 65 91 80 59 58 64 59 Male Print Done D
What is the effect of an increase in variance of the different scores in repeated measure design

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