4.) Use the Independent Samples T-Test on the variable String . State Ho and Ha.The grouping varis hcpatron. Use the version of the test which allows for different variances. Doeshcpatron influence String? Explain fully.Independent Samples TestLevene's Test for Equality oft-test for Equality ofVariancesMeansSig.dfPrefer String QuartetEqual variances assumed9.564.00223.701398Equal variances not27.028263.644assumedIndependent Samples Testt-test for Equality of MeansStd. ErrorSig. (2-tailed)Mean DifferenceDifferencePrefer String QuartetEqual variances assumed.0002.429.102Equal variances not assumed.0002.429.090Independent Samples Testt-test for Equality of Means95% Confidence Interval of the DifferenceLowerUpperPrefer String QuartetEqual variances assumed2.2282.631Equal variances not assumed2.2522.606

Given the results of independent samples t test. We have to check does hcpatron influence String.…

Answered: 4.) Use the Independent Samples T-Test…

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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15. Research results suggest that IQ scores for boys Plomin, 2006). A typical study looking at 10-year-old are more variable than IQ scores for girls (Arden & size would be reported in a journal article. children classifies participants by gender and by low. average, or high IQ. Following are representing the research results. Do the data indicate a significant difference between the frequency distri- butions for males and females? Test at the .05 level of significance and describe the difference. hypothetical data 1 IQ Low Average High Вoys 18 42 20 80 Girls 12 54 14 80 n = 160 Int Ava
The variance in a production process is an importance measure of the quality of the process. A large variance often signals an opprotunity for improvement in the process by finding ways to reduce the process variance. The conduct a statistical test to determine whether there is a significant differeence between the variance in the bag weights for two machines. Use a 0.05 level of significance. What is your conclusion? Which machine, if either, provides the greater opportunity for quality improvements? Machine 1 Machine 2 2.95 3.22 3.45 3.30 3.50 3.34 3.75 3.28 3.48 3.29 3.26 3.25 3.33 3.30 3.20 3.27 3.16 3.38 3.20 3.34 3.22 3.35 3.38 3.19 3.90 3.35 3.36 3.05 3.25 3.36 3.28 3.28 3.20 3.30 3.22 3.28 2.98 3.30 3.45 3.20 3.70 3.16 3.34 3.33 3.18 3.35 3.12 Please use excel
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Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.
Which would be the appropriate way to test differences in proportions for more than two samples? t-test if variance is unknown z-test paired t-test F-test for equality of variances cross-tabulation procedure to conduct a chi-square test
*Do not U classroom in the first 20 Find a Variance V h Mode class and Mode e. Median Class and Median d. IQR CLASS FREQUENCY 0-2 2-4 5 4-6 12 6-8 15 8-10 9. TOTAL 44 1. the table below that is the of the grade of a of 44 students.
A transect is an archaeological study area that is mile wide and 1 mile long. A site in a transect is the location of a significant archaeological find. Let x represent the number of sites per transect. In a section of Chaco Canyon, a large number of transects showed that x has a population variance . In a different section of Chaco Canyon, a random sample of 23 transects gave a sample variance for the number of sites per transect. Use an to test the claim that the variance in the new section is greater than 36.4. What is the level of significance? 90% 1% 5% 95% 10%
Use the information provided below for the SINGERS questions that follow. Our goal will be to see if there is any association between type of singer and height. ONE-WAY ANOVA Data from DASL: http://lib.stat.cmu.edu/DASL/Datafiles/Singers.html This exercises deals with the heights (in inches) of singers. The graph and Excel Anova output are given below. 80 75 70 65 60 55 • Soprano • Alto • Tenor • Bass Anova: Single Factor SUMMARY Groups Count Sum Average Variance Soprano 36 2313 64.25 3.5071 Alto 35 2271 64.885714 7.8101 Tenor 20 1383 69.15 10.3447 Bass 39 2758 70.717949 5.5762 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 1058.5289 3 352.84298 55.800134 5.1E-23 2.67652 Within Groups 796.74029 126 6.3233357 Total 1855.2692 129 © 2020 Radha Bose, Florida State University Department of Statistics Heights (inches)
7. A study was conducted to compare the amount of salt in potato chips. Random samples of recorded. Assume the populations are normally distributed with equal variances. The 7 A study was conducted to compare the amount of salt in potato chips. Random sampies o. three varieties were obtained and the amount of salt in each 1-Oz portion of potato chp recorded. Assume the populations are normally distributed with equal variances. results are given here: BBQ Cheese- Amount of salt (in mg of sodium) 338, 159, 240, 190 235, 251, 233, 255, 260 Variety flavored Olestra-based 164, 150, 149, 170 a) Identify the explanatory variable. b) Identify the response variable. c) State the appropriate hypotheses to test for a difference in means. d) The appropriate analysis to test for a difference in means would be: a. One-way ANOVA b. Two-way ANOVA c. Three-way ANOVA d. Two-Sample t-test
Is psychiatric history dependent on where the mother lives (country or city)? The test statistics for this hypothesis test are.... How to run t-test? which variable goes where? I attached images, is that correct and where to get the t statistic and p-value?

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