Jump to level 1A company that develops an automated customer service model is interested in knowing whether two versions,Version A and Version B, will get different ratings from customers. Participants in a focus group are taken throughsamples from both versions, then take a survey to rate each version. A summary of the data obtained from thestudy is given below. Assume ratings from the different surveys generally have the same standard deviation.MeanObservationsPearson CorrelationHypothesized Mean Differencedft StatP(T<=t) one-tailt Critical one-tailP(T<=t) two-tailt Critical two-tailConfidence Leveln =Ex: 9Version A Version B39.33334.41515-0.011014-2.0860.028-2.6240.056-2.97799%Degrees of freedom: df=Point estimate for Version A: XAPoint estimate for Version B: B1= Ex: 1.234=t-3-2-1= Ex: 1.23401t =p= Ex: 1.234232

The question hypo. testing Given : From output : Mean of version A ( x¯A ) = 39.333 Mean of version…

Answered: Jump to level 1 A company that develops…

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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Why is it important to report both a measure of central tendency and variability to describe a set of scores? Group of answer choices Sets of data with different central tendencies may have different patterns of variability. Sets of data with the same central tendency may have the same patterns of variability. Sets of data with the same variability may have different patterns of central tendency. Sets of data with the same central tendency may have different patterns of variability.
Suppose you are asked to toss a coin 16 times and calculate the proportion of the tosses that were heads. a. What shape would you expect this histogram to be and why? b. Where you do expect the histogram to be centered? c. How much variability would you expect among these proportions? d. Explain why a Normal model should not be used here.
A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Oct. Sept. 18 13 19 Tardy Students Nov. Dec. Jan. 14 8 Feb. Mar. Apr. 6 13 11 15 May 16 Copy Data Step 2 of 4: Calculate the expected value for the number of tardies in October. Enter your answer as a fraction or a decimal rounded to three decimal places.
A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.01 level of significance, test a teacher's claim that the number of tardy students does vary by the month. Number Aug. Sept. Oct. 18 13 19 Tardy Students Nov. 14 Dec. Jan. Feb. Mar. Apr. May 8 6 13 11 15 16 Copy Data Step 3 of 4: Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to three decimal places.
Think about doing an Independent-Measures ANOVA, Step 3. If the data are as follows, find the SS-between. GROUP 1 GROUP 2 GROUP 3 1 3 5 3 2 7 2 4 6 A) SS-between = 26.00 B) SS-between = 42.00 C) SS-between = 6.00 D) SS-between = 13.00
An experiment was conducted to determine if exposure to an advertisement would change attitude toward a product. Each subject’s attitude before and after exposure to the advertisement was recorded, using a valid ten point scale. The results indicated: Subject Attitude Post Exposure Attitude Pre Exposure 1 6 4 2 8 5 3 6 6 4 4 3 5 7 2 6 6 3 7 9 6 8 7 6 9 8 5 10 8 6 Set up hypotheses and test to determine if the mean attitude toward the product increased as a result of exposure to the advertisement. (Note: these samples must be regarded as dependent, as each subject served as both a control (pre-exposure) and a treatment (post exposure). Fully interpret your result.
Consider the following research questions/study scenarios. For each study, discuss the most appropriate methods for describing the data (graphically and numerically). What statistical method would be most appropriate for addressing the research questions? Be sure to provide a justification of the statistical method. What statistical test is needed, provide appropriate null and research hypotheses. An investigation of the association between drink preferences and the color of teeth is proposed. Subjects will be surveyed as to the type of drink most often consumed (coffee/tea. Juice, caramel-colored soda, water, or milk). A clinical exam will be performed after dental cleaning to determine the color of the teeth (reddish brown, reddish yellow, gray, reddish gray).
A professor was interested in how exam performance related to study time. Just before an exam began the professor asked students in his class to write down how many hours they had studied for the exam in the past two weeks. He then compared their exam scores to the reported study time. What type of study did the professor carry out? ex post facto correlational case experimental
A school principal claims that the number of students who are tardy to school does not vary from month to month. A survey over the school year produced the following results. Using a 0.10 level of significance, test a teacher’s claim that the number of tardy students does vary by month. Tardy Students Aug. Sept. Oct. Nov. Dec. Jan. Feb. Mar. Apr. May Number 17 10 7 18 11 17 8 7 19 19 Copy Data Step 3 of 4 : Compute the value of the test statistic. Round any intermediate calculations to at least six decimal places, and round your final answer to three decimal places.
2. Introduction to variability A researcher is studying psychological factors in athletic achievement among teenage boys. One variable he is particularly interested in is competitiveness. What information does a measure of variability for the variable competitiveness convey? Check all that apply. What is the central tendency for the variable competitiveness among teenage boys? What is the average value for the variable competitiveness among teenage boys? Do all teenage boys have the same amount of competitiveness? How consistent are the values for competitiveness among teenage boys?

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