A survey of 1520 Americans adults asked "Do you feel overloaded with too much information?" The results indicate that 80% of females feel information overload compared to 65% ofmales. The results are given in table.OverloadedYesGenderMale Female Total4806241104a. Construct contingency tables based on total percentages, row percentages, and column percentages.b. What conclusions can you reach from these analyses?No260156416Total7407801520...a. Construct contingency tables based on total percentages, row percentages, and column percentages. Start with the table based on total percentages.GenderOverloadedMaleFemaleTotalYes%%No%%%Total%(Round to two decimal places as needed.)Construct the table based on row percentages.GenderOverloadedMaleFemaleTotal%%Yes%No%%Total%%% YesNoTotal(Round to two decimal places as needed.)Construct the table based on column percentages.GenderOverloadedMaleFemaleTotalYesNo%%Total(Round to two decimal places as needed.)b. What conclusions do you reach from these analyses?The number of males in the sample isV the number of females. The number of people who feel overloaded with too much information isV the number who do not. The numberof males who feel overloaded with too much information isthe number who do not. The number of females who feel overloaded with too much information isV the numberwho do not. Females feel overloaded with too much informationV males.

Answered: A survey of 1520 Americans adults asked…

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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Errors in medical prescriptions occur relatively frequently. In a study, two groups of doctors had similar err rates and one group switched to e-prescriptions while the other continued with hand-written prescriptions. C year later, the number of errors was measured. The results are given in the two-way table. No Error Error 254 Electronic 3594 Written 1478 2370 a). Fill in the row and column totals. b). What proportion of all the prescriptions had errors in them? c). What proportion of electronic prescriptions had errors in them? d). What proportion of written prescriptions had errors in them? e). What proportion of the prescriptions with errors were written prescriptions?
2. A real estate expert wanted to find the relationship between the sale price of houses and various characteristics of the houses. He collected data on five variables, recorded in the table, for 12 houses that were sold recently. The five variables are: Sale price of a house in thousands of dollars. Size of the lot in acres. Price: Lot Size: Living Area: Living area in square feet. Age: Type of house: town house (T) or Villa (V) Age of a house in years. Price Lot Size Living Area Age Туре of house 255 1.4 2500 8 T 178 0.9 2250 12 T T. T. T. 263 1.8 2900 5 0.7 2.6 127 1800 24 305 3200 10 164 1.2 2400 18 245 2.1 2700 T V 146 1.1 2050 28 287 2.8 2850 13 V 189 1.6 2600 9 211 1.7 2300 8 V 123 0.5 1700 11 V a) Find the regression equation for the town house b) Find the regression equation for the Villa c) What is the price of a town house with a lot size of 1.3, living area of 1800, and is 7 years old? EBBBBE A> >}>l> >{
Suppose you were to collect data for the following pair of variables, ski diving: depth, visibility. You want to make a scatterplot. Which variable would you use as the explanatory variable? depth visibility Which variable would you use as the response variable? O depth O visibility Would you expect to see a positive or negative association? positive negative O neither
Virginia polled a large sample of individuals to find the percentage of students with known food allergies and the percentage of students without known food allergies. Which of the following could sufficiently display the data if only the two given categories are to be included? Select the correct answer below: bar graph pie chart either a pie chart or a bar graph neither a pie chart nor a bar graph
(c) Draw a boxplot of the differenced data. Does this visual evidence support the results obtained in part (b)? Which boxplot below represents the data? A. O C. -6 -6 -4 -2 Differences -2 Differences 2 Q 2대 B. -6 -6 -4 -4 -2 Differences Differences 0 0 2
In this problem, we explore the effect on the mean, median, and mode of adding the same number to each data value. Consider the data set 4, 4, 5, 8, 12. (a) Compute the mode, median, and mean. (Enter your answers to one decimal place.) mode median mean (b) Add 3 to each of the data values. Compute the mode, median, and mean. (Enter your answers to one decimal place.) mode median mean
You are the Provost of a University and you want to see if students would like to participate in classroom-based physical activity. You implemented a quick pilot test and collected data after Spring quarter. Below is the first set of data. Based on the data, answer the question. Participant Height (inches) Weight (pounds) Sex (1= male, 2= female) Ever Age (1 = 18-24 participated years, 2 25-34 in classroom exercise (1 = years, 3 35-49 years, 4 50 years No, 2 = Yes) or older) 66 150 1 1 2 72 150 2 2 4 66 150 2 1 2 4 74 215 1 2 1 5 66 112 2 2 6 71 215 2 2 7 69 175 2 2 3 8 66 152 1 2 9 72 375 1 1 10 66 140 1 2 3 What type of variables are height and sex? continuous, dichotomous discrete, ordinal discrete, dichotomous O discrete, nominal
The brand manager for a brand of toothpaste must plan a campaign designed to increase brand recognition. He wants to first determine the percentage of adults who have heard of the brand. How many adults must he survey in order to be 95% confident that his estimate is within five percentage points of the true population percentage? Complete parts (a) through (c) below. Question content area bottom Part 1 a) Assume that nothing is known about the percentage of adults who have heard of the brand. n=enter your response here (Round up to the nearest integer.)
C2. Using the information listed below, explore the educational attainment of GSS 2018 respondents. Frequencies and percentages are reported by sex of respondent. a. Calculate the IQR for both groups. What do the IQRS reveal about the degree of diversity for males and females? b. What is the limitation to applying IQR to ordinal data? Highest Educational Degree Males Females Less than high school 63 80 12.9% 12.7% High school graduate 256 296 52.5% 47.1% Junior college 30 72 6.1% 11.4% Bachelor's degree 90 111 18.4% 17.6% Graduate degree 49 70 10% 11.1% 488 629 Total 100% 100% CHAPTER 4 MEASURES C

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