1. A company manager hired an economicresearcher to study watch preference of theprospective customers. The researchersampled 30 customers and each is classifiedby age and watch type preference (digital vsanalog). Using the following data, determineif there is an association between age andwatch preference using your SPSS software: 1. What would be your null hypothesis?2. What would be the alternativehypothesis?3. What is your computed X2 value?4. What is your decision (use a = 0.05)?5. What is you interpretation? CustomersWatch PreferenceAgeUnder 30DigitalDigitalDigital1Under 30Under 304Above 30DigitalAbove 30Undecided6Above 30Undecided7Under 30UndecidedDigitalDigital8Under 30Above 3010Above 30DigitalAbove 30AnalogAnalogAnalogDigitalDigital1112Under 3013Above 3014Under 3015Above 3016Under 30Digital17Under 30UndecidedUnder 30AnalogAnalog1819Above 3020Above 30Digital21Above 30Analog22Above 30Analog23Under 30AnalogAnalog24Above 3025Under 30Undecided26Above 30UndecidedAnalogAnalog27Above 3028Above 3029Above 30Undecided30Under 30Undecided

In this case, the objective is to validate if the variables "watch preference" and "age" are…

Customers 1 123 2 3 4567 69 8 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Age Under 30 Under 30 Under 30 Above 30 Above 30 Above 30 Under 30 Under 30 Above 30 Above 30 Above 30 Under 30 Above 30 Under 30 Above 30 Under 30 Under 30 Under 30 Above 30 Above 30 Above 30 Above 30 Under 30 Above 30 Under 30 Above 30 Above 30 Above 30 Above 30 Under 30 Watch Preference Digital Digital Digital Digital Undecided Undecided Undecided Digital Digital Digital Analog Analog Analog Digital Digital Digital Undecided Analog Analog Digital Analog Analog Analog Analog Undecided Undecided Analog Analog Undecided Undecided

Customers 1 123 2 3 4567 69 8 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Age Under 30 Under 30 Under 30 Above 30 Above 30 Above 30 Under 30 Under 30 Above 30 Above 30 Above 30 Under 30 Above 30 Under 30 Above 30 Under 30 Under 30 Under 30 Above 30 Above 30 Above 30 Above 30 Under 30 Above 30 Under 30 Above 30 Above 30 Above 30 Above 30 Under 30 Watch Preference Digital Digital Digital Digital Undecided Undecided Undecided Digital Digital Digital Analog Analog Analog Digital Digital Digital Undecided Analog Analog Digital Analog Analog Analog Analog Undecided Undecided Analog Analog Undecided Undecided

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The provided table shows the in-state undergraduate tuition in 2014 and 2018 for 33 public universities.Virginia's data was identified as an unusual observation. Remove it from the dataset before performing the following analysis.Year2014Year2018Year2014Year2018Year2014Year2018UniversityUniversityUniversityPenn State17,50218,454Ohio State10,03710,726Texas979810,606Pittsburgh17,77219,080Virginia12,99817,564Nebraska80709154Michigan13,48615,262Cal-Davis15,58914,463lowa80799267Rutgers14,29714,974Cal-Berkeley12,97214,184Colorado10,78912,532Michigan StateCal-Irvine14,75715,614Iowa State7731898813,81314,460Purdue10,0029992North Carolina83468987Maryland942710,595Illinois15,02015,094Cal-San Diego13,45614.199Kansas10,44811,148Minnesota13,62614,693Oregon991811.898Arizona10,95712,487Missouri11,02112,055Wisconsin10,41010,555Florida63136381Buffalo887110,099Washington12,39411,517Georgia Tech11,39412,424Indiana10,38810,681UCLA13,02913,774Texas A&M917910,968Click to download the data in your…
I want to assess the effects of diet (control diet, high-sugar diet, high-fat diet) and exercise (no voluntary running wheel, voluntary running wheel) on time spent in a target quadrant (more time indicates better memory). I record the percent time spent in a target quadrant for 30 mice and obtain the following data: Control Diet High-sugar Diet High-fat diet No running wheel 15, 28, 29, 30, 25 24, 20, 30, 32, 20 19, 23, 22, 23, 25 Running wheel 30, 34, 35, 44, 32 21, 22, 28, 26, 29 30, 32, 28, 19, 26 What type of factorial design is this? (ex: # x #) ______________ What is the critical F value you’ll be making a decision based on (assume alpha = .05)? Diet: ____ Exercise: _____ Interaction: ______
ShopEasy Inc. is a specialty e-tailer that operates 87 catalogue websites on the Internet. Larson Brown, Sales Director, feels that the style (colour scheme, graphics, fonts, etc.) of a website may affect its sales. He chooses three levels of design style (neon, old world and sophisticated) and randomly assigns six catalogue websites to each design style. Analysis of Larson's data yielded the following ANOVA table: Source of Variation Between Groups Within Groups Total SS 19.43 2.85 O 3.68 O 19.45 O 3.57 df 68102.33 2 34051.17 Using a = 0.05, the critical F value is MS 29177.67 15 1945.178 97280 17 F
9
A statistics content developer at Aplia wanted to know whether study skills are related to memory quality. She invited student volunteers to perform an online memory task. The students saw a list of 60 words and were then asked to recognize a list of 10 words that were on the original list. Students were also asked to provide their GPAs. Consider the following data set, which was collected from student volunteers in 2009. The table gives the frequency for five intervals of scores on the number of correctly identified words. Use the dropdown menus to complete the table by filling in the missing values for the proportions and percentages. Score Interval f Proportion Percentage 9–10 29 0.19 19% 7–8 53 5–6 50 3–4 22 0.14 14% 1–2 1 0.01 1%
The personality characteristics of business leaders (e.g., CEOS) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership. Among a sample of n = 16 managers, the sample mean of the openness to experiences dimension of personality was M = 4.50. Assuming that u = 4.24 and o = 1.05 (Cobb-Clark & Schurer, 2012), use a two-tailed hypothesis test with a = .05 to test the hypothesis that this company's business leaders' openness to experience is different from the population. Standard Normal Distribution Mean - 0.0 Standard Deviation 1.0 .7198 .1401 .1401 -3.0 -2.0 -1.0 0.0 1.0 2.0 3.0 -1.08 1.08 Step 1. Ho: ; H;: a = .05. Step 2. The critical region consists of Step 3. For these data the standard error is and…
You are a manager for Company ABC and decide to compile data and analyze your employees’ level of satisifaction. You create a survey to ask each employee to rate their level of satisfaction working at Company ABC. Table 1 shows data of 15 people employees that responded to your survey. Each of the employees have the same job title: Sales Representative. The data set includes variables regarding an employee ID, gender, ethnicity, region, pay rate, employee satisfaction rating. Each employee was asked to rate their level of satisfaction working at Company ABC. A composite score from 0 (lowest) to 5 (highest) is shown as the data variable employee satisfaction. Table 1: Employee Data on 15 Sales Representatives at Company ABC
A researcher uses matched-subjects design to investigate whether single people with pets vary in their happiness level compared to singles without pets. A mood inventory survey is given to a group of 20- to 29-year-old non-pet owners and a similar age group of pet owners. The pet owners are matched one to one with the non-pet owners for income, number of close friendships, and general health. Is there a significant difference in the mood scores for non-pet owners versus pet owners. Test with a =.05 for two tails.
In a study examining the effect of humor on interpersonal attractions, McGee and Shevlin (2009) foundthat a man’s sense of humor had a significant effect onhow he was perceived by women. In the study, femalecollege students were given brief descriptions of a potential romantic partner and then rated the attractivenessof the male on a scale from 1 (low) to 7 (high). Thefictitious male was described positively as being single,ambitious, and having good job prospects. In one condition, the description also said that he had a great senseof humor. The results showed that the description wasrated significantly higher when “a sense of humor” wasincluded. To further examine this effect, a researcherselected a sample of n = 16 college males and askedthem to read a brief description of a female and thenrate the attractiveness of the woman in the description.The description had been used in previous research butwas modified by adding a statement describing a goodsense of humor. Based on the…