4)nterpret the results of the significance test. Is this result statistically significant? Is this result important from a practical perspective? Directions: Click on the Data button below to display the data. Copy the data into a statistical softwarepackage and click the Data button a second time to hide it. Then perform an analysis of variance (ANOVA)to determine whether or not the differences in weight gain between the treatment groups is statisticallysignificant.DataControlCBTFamily1.10.512.1-1.2-7.311.40.4-3.53.5-1.414.310.8-4.4-1.212.912.9-11.7-4.23.8-13.70.917.410.28.9-7.3-6.2232.46.3-4.313.11.4-2.97.9-7.412.90.47.714.5-5.22.47.620.711.13.8-86.61-1.910.7-3.2-102.3-4.30.7-7.5-21.80.9-0.61.22.610.75.22.116.75.1-11.3-0.316.5-0.9 1. State the null and alternative hypotheses.2. Compute the test statistic. Document how SSTR and SSE were computed. Use 4 decimal places forthe sample means, sample standard deviations and the grand mean and round your answers for SSTRand SSE to 2 decimal places.Edit -InsertFormatsIX,A<>E- E EΣ ΣUse the values for SSTR and SSE to complete the following ANOVA table. Round each of your answersto 2 decimal places.SourceS.S.dfM.S.FTreatmentErrorTotal3. Compute the p-value. Provide the name of the distribution and the parameters used to compute thep-value. Then enter your answer rounded to 4 decimal places.p-value =

The random variable weight gain follows normal distribution. There are 3 independent samples which…

Answered: Directions: Click on the Data button…

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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Discuss the difference between statistical significance and practical significance.
Please show work on paper
Researchers were interested in assessing whether stress levels are different at the beginning of the semester compared to finals week. To test this, stress was measured in 5 students at the start of the semester and then again at the end of the semester during finals week. Participant Stress 1 Stress 2 Difference Score (Di) (Di - Mdiff)2 1 22 22 0 2 32 34 -2 3 24 25 -1 4 28 30 -2 5 26 29 -3 What is the SM (standard error)? Round to 2 decimal places.
A large retail company conducted a manual inspection of the price scanning at checkout. In particular, they want to know if there is any relationship between scanning error rates and sale pricing practices. Here are the data they obtained Undercharged 22 Overcharged 14 Correct price 201 Test the claim at an a = 0.05 significance level. Round all values to 3 decimal places. • Fill in the expected values: State the hypotheses: O Ho: x² = 0 H₁: x² 0 O Ho: x² = 0 H₁X² / 0 OF V Undercharged Overcharged Regular Advertised Price Sale Price Correct price Regular Price 8 31 229 Advertised Sale Price
What are some factors to consider in "setting" an alpha level for a statistical test?
You are conducting a study to see if the accuracy rate for fingerprint identification is significantly less than 0.23. You use a significance level of a = 0.001. Ho:p > 0.23 HA:P < 0.23 You obtain a sample of sizen = 130 in which there are 18 successes. What is the test statistic for this sample? (Round the answer to two decimal places.) test statistic = What is the p-value for this sample? (Give the answer to four decimal places.) p-value = The p-value is... less than (or equal to) a greater than a This test statistic leads to a decision to... reject the null hypothesis, Ho accept the null hypothesis, Họ | fail to reject the null hypothesis, Ho As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is less than 0.23. | There is not sufficient evidence to warrant rejection of the claim that the accuracy rate for fingerprint identification is less than 0.23. The sample data support the…
How to provide statistical interpretation of the coefficient, standard error, t-stat and p value of a variable.
You are conducting a study to see if the proportion of men over 50 who regularly have their prostate examined is significantly less than 0.15. You use a significance level of a =0.02. Ho:p= 0.15 H1:p < 0.15 You obtain a sample of sizen= 504 in which there are 60 successes. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value = The p-value is. O less than (or equal to) a O greater than a This test statistic leads to a decision to... O reject the null O accept the null O fail to reject the null As such, the final conclusion is that.. O There is sufficient evidence to warrant rejection of the claim that the proportion of men oven 50 who regularly have their prostate examined is less than 0.15. There is not sufficient evidence to warrant rejection of the claim that the proportion of men over 50 who regularly have their prostate examined is…
We use the results of our first step to calculate a test-statistic. Why is this important and how does it relate to the concept of z-score, What is a p-value? What role does it play in the rejection of the null hypothesis? What does it mean to reject the null hypothesis? Does that guarantee that the null hypothesis is false?
What is statistical significance?
All other conditions being equal, does a larger sample size increase or decrease the corresponding magnitude of the z or t value of the sample test statistic?
Using the ROI data set: For each of the 2 majors test the hypothesis at the 5% significance level: The mean ‘Cost’ for a college is $160,000. Be sure to interpret your results. For Business versus Engineering majors conduct a two sample test of the hypothesis at the 10% significance level (assume the variances are not equal): The average ’30-Year ROI’ for Business majors is less than for Engineering Majors. Be sure to interpret your results.

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