Conduct an independent - samples t-test to examine the difference between the mean ratings of thecharismatic - reputation condition and the punitive-reputation condition. Is the difference in mean ratingsstatistically significant? What can you conclude statistically and practically? Based on your analysis of thedata, does an instructor's prior reputation affect student ratings as measured in this study? Support youranswer specifically using the outcomes of your data analyses. Standard ErrorMedianModeStandard DeviationSample VarianceKurtosisSkewnessRangeMinimumMaximumSumConfidence Level(95.0%)N](2.06, 2.44]Charismatic0.1065966512.66672.33330.5329832540.2840711490.749481560.4160849962.33331.6667465.33330.220004674(2.44, 2.83] (2.83, 3.22]Punitive25(3.22, 3.61]0.1107713782.33332.33334.543.532.52.333421.33331.53.6667 153.66650.50.22914805500.542666710.2944871591.3839200040.713850216(3.61, 4.00]24t-Test: Two-Sample Assuming Unequal VariancesMeanVarianceObservationsHypothesized MeanCharismatic Punitivedft StatP(T<=t) one-tailt Critical one-tailP(T<=t) two-tailt Critical two-tailCharismatic Punitive2.613332 2.2361041670.284071149 0.294487159250472.4538215510.0089481531.6779267220.0178963072.01174051424

The comparison of means of two groups that are not related to each other is known to be an…

Answered: Charismatic (2.06, 2.44] (2.44, 2.83]…

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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t-Test: Two-Sample Assuming Equal Variances ADKAR PROSCI Mean 5.61 7.326666667 Variance 4.798172414 1.855816092 Observations 30 30 Pooled Variance 3.326994253 Hypothesized Mean Difference 0 df 58 t Stat -3.645067529 P(T<=t) one-tail 0.000286392 t Critical one-tail 1.671552762 P(T<=t) two-tail 0.000572783 t Critical two-tail 2.001717484 Significance level: .05 How do I determine the charateristics of the comparison distribution?
I need a hypothesis, description and interpretation, please! Thank you!!
Test the hypothesis that there is no difference between the means using 0.05 level ofsignificance. (Hint: Test the hypothesis of variance first)
I was told you guys can answer subparts heres the rest thank you so much In a 1-Factor analysis of variance (ANOVA) for independent samples, three samples are randomly drawn from a population of hyperactive children. Children in each sample are treated at different drug dosage levels. During treatment, hyperactive behavior is observed. The average frequency of hyperactive behavior is calculated for each sample and sample means are compared. G)if F obs is more extreme in its departure from zero than Fcritical, then which of the following two decisions about the null hypothesis (H a ) is appropriate? a. reject b . fail to reject H) if the null hypothesis is rejected based on the single probability of occurrence of F obs (p<.05) , an alternative hypothesis can be considered stating that there is an a. inequality of sample means ( mu 1 ne mu 2 ne mu 3 ) b. equality of sample means ( mu 1 = mu 2 = mu 3 )
A clinical researcher performs a clinical trial on 6 patients to determine whether a drug treatment has an effect on serum glucose. The sample mean glucose of the patients before and after the treatment are summarized in the following table. The sample standard deviation of the differences was 10. Sample mean glucose (mg/dL) Before treatment 105 After treatment 99 What type of hypothesis test should be performed?_______ select (left-tailed z-test, Paired t-test, two-tailed z-test, unpaired t-test) What is the test statistic?_______ (Ex: 0.123) What is the number of degrees of freedom? _______ (Ex: 25) Does sufficient evidence exist to support the claim that the drug treatment has an effect on serum glucose at the α=0.01 significance level? ______ select (no or yes)
I need a hypothesis, description and interpretation please!! Thanks
Which is not one of the major assumptions typically associated with parametric tests of significance? A. Random Selection B. Homogeneity of Variance C. Absence of restricted ranges
If a researcher did not wish to assume homogeneity of variance for this analysis, which values would they report for the t-statistic, degrees of freedom, and p-value? Would the conclusions change?
Suppose we want to test that the average age of a The following table shows the Excel output for this test. Pstudent is not 27 years old. t-Test: Paired Two Sample for Means Score Dummy Mean 25.89474 Variance 5.43275 Observations Pearson Correlation Hypothesized Mean Difference 19 19 #DIV/O! 27 df 18 t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail -2.06696 0.02671 1.7341 0.05343 2.1009 Select the p-value for this test. 2.1009 O 0.05343 0.02671
A company would like to know if efficiency can be improved through a training course for employees. A sample of employees is taken. The time taken for an employee to complete a task before training and after training is observed. Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Before n = 33.1 16.81 30 0 29 -2.282 0.051 -1.699 0.025 -2.045 95% After 31.7 12.25 30 p= Ex: 1.234: -3 -2 t = Ex: 1.234 Ex: 9 Degrees of freedom: df = Point estimate for before training: before Ex: 1.234 Point estimate for after training: after -1 0 1 2 3
This output represents the hypothesis test that the average age at first pregnancy of women diagnosed with breast cancer is different depending on whether or not metastases are present (yes or no) at the time of breast cancer diagnosis.
Choose the correct answer, give brief explaination I make it as one question, because its have simple explanation and its related

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