A study is designed to determine the effect of an office-training course on typing productivity.Fifteen typists who have not taken the course are randomly selected. The investigator assigns 20pages of equally difficult text to be typed by each typist both before and after completing thetraining course.The investigator wants to find out whether the training course has reduced the number of errors bymore than 10.Define d Before - After.What is the alternative hypothesis for this test?Ha: ud > 0Ha: ud 10.Ha: ud <0.Ha: ud > 10Ha: ud-10

Given that The investigator wants to find out whether the training course has reduced the number of…

Answered: productivity. Fifteen typists who have…

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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Hypertension It has been found that 26% of men 20 years and older suffer from hypertension (high blood pressure) and 31.5% of women are hypertensive. A random sample of 141 of each gender was selected from recent hospital records, and the following results were obtained. Can you conclude that a higher percentage of women have high blood pressure? Use α=0.05. Men 48 patients had high blood pressure Women 61 patients had high blood pressure Use p₁ for the proportion of men with high blood pressure and round all intermediate calculations to at least three decimal places. Part: 0 / 5 00 @ E 4 V olo
Scenario: 200 people were asked, “Who is your favorite superhero?” Below are the data. Test the null hypothesis that the population frequencies for each category are equal. α= .05. Iron Man Black Panther Wonder Woman Spiderman fo = 40 fo = 60 fo =55 fo = 45 fe = fe = fe = fe = What is the correct result based on the data?
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A population of Emotional Quotient scores with μ = 38 and σ = 6 is standardized to create a new population with μ = 50 and σ = 10. Find the new score for a given original score or the old score for a given new score. original score new score X = 26 ? ? X = 65
A local ice cream shop collects data on the temperature of the day and how many ice cream cones were sold that day. What type of data was collected? Bivariate and Quantitative Bivariate and Categorical Univariate and Quantitative Univariate and Categorical
J In-shop othesis test for the difference between two population proportions 02562 2600368.qx3zqy7 Jump to level 1 The manager of a coffee shop is trying to determine if drive-through customers buy fewer items than customers who come into the shop. The manager randomly samples both populations and calculates the proportion of customers in each that buy three or more items. The results of the data collected are shown below. What are the population parameters? Y Pick Drive-through Successes 27 Successes What is the level of significance? Ex: 0.12 Observations 76 Observations 41 119 0.345 p-hat_1 0.355 p-hat_2 What is the null hypothesis Ho? Pick Confidence Level 0.1429 What is the alternative hypothesis Ha? Pick p-value Should Ho be rejected or does Ho fail to be rejected? Pick What conclusion can be drawn from the data? Pick evidence exists to support the claim that drive-through customers buy fewer items than in-shop customers. 2 p W
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…
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There exists 2 treatments for a specific illness. One uses pills, and the other infrared pulses. To measure the illness, you measure the level of the a particular marker in the blood; the higher the marker, the worse the disease. Which of the following tests the claim that the infrared pulse treatment improves outcomes better ?
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
To determine if there is a relationship between grade performance and extracurricular participation, North Carolina State conducted a study of 112 students, recording the number of students in each of three extracurricular categories and each of two grade categories. Here are the results: Low extra-curricular participation Moderate extra-curricular participation High extra-curricular participation Good grades 11 68 3 Poor grades 2 23 A. The conditions that allow us to safely use the chi-squared procedure are met. 5 Source: Felder, et al., "A Study of Student Performance in an Introductory Chemical Engineering Course," 1992 ASEE Annual Conference Proceedings, pp. 1516-1519. The expected count of students with high extracurricular participation and good grades is the number of students that you would expect to see assuming that which of the following is correct? Check all that apply. B. Extracurricular participation and grade performance are related. C. Extracurricular participation and…

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