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- Second, the researcher wishes to use graphical descriptive methods to present summaries of the data on each of the two variables: hours worked per week and yearly income, as stored in file HOURSWORKED.xls. Hours Per Week Yearly Income ('000's) 18 43.8p 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5…Second, the researcher wishes to use graphical descriptive methods to present summaries of the dataon each of the two variables: hours worked per week and yearly income, as stored in fileHOURSWORKED.xls. Hours Per Week Yearly Income ('000's) 18 43.8 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38 74.2 31.5 68.5 36 69.7 37.5 71.2 22 66.3 33.5 66.5 37 66.7 43.5 74.8 20 62.0 35 57.3 24 55.3 20 56.1 41 61.5 a) The number of observations (n) is 65…On-Time Performance by Airlines According to the Bureau of Transportation statistics, on-time performance by the airlines is described as follows: Action % of time On time 70.8 National Aviation System delay 8.2 Aircraft arriving late 9.0 Other (because of weather andother conditions) 12.0 Send data to Excel Records of 200 flights for a major airline company showed that 149 planes were on time; 21 were delayed because of weather, 10 because of a National Aviation System delay, and the rest because of arriving late. At =α0.05, do these results differ from the government's statistics? Part 1 of 5 Identify the claim with the correct hypothesis. H0: On-time performance by airlines is distributed as follows: 70.8%on time, 8.2%National Aviation System delay, 9.0% aircraft arriving late, and 12.0% other. ▼(Choose one) H1 : The distribution is not the same as stated in the null hypothesis. Critical value=…
- A researcher is interested in studying the relationship between commute time (defined as the number of minutes it takes a person to get to work in the morning) and job satisfaction (defined on a scale from 1=very dissatisfied to 5=very satisfied). The researcher believes that a person with a longer commute time will have lower job satisfaction. The researcher surveys 20 Valley commuters and finds the following data. Respond to questions 1 and 2 based on these data. Commuter Length of Commute (minutes) Job Satisfaction(1=very dissatisfied;5=very satisfied) Commuter 1 10 4 Commuter 2 65 1 Commuter 3 30 4 Commuter 4 40 2 Commuter 5 15 5 Commuter 6 20 5 Commuter 7 60 2 Commuter 8 50 1 Commuter 9 45 3 Commuter 10 20 3 Commuter 11 30 4 Commuter 12 35 4 Commuter 13 20 5 Commuter 14 30 4 Commuter 15 40 2 Commuter 16 10 5 Commuter 17 20 5 Commuter…On-Time Performance by Airlines According to the Bureau of Transportation statistics, on-time performance by the airlines is described as follows: Action % of time On time 70.8 National Aviation System delay 8.2 Aircraft arriving late 9.0 Other (because of weather andother conditions) 12.0 Send data to Excel Records of 200 flights for a major airline company showed that 149 planes were on time; 23 were delayed because of weather, 13 because of a National Aviation System delay, and the rest because of arriving late. At =α0.025, do these results differ from the government's statistics? Part: 0 / 5 0 of 5 Parts Complete Part 1 of 5 Identify the claim with the correct hypothesis. H0 : On-time performance by airlines is distributed as follows: 70.8%on time,8.2%National Aviation System delay,9.0% aircraft arriving late, and 12.0% other. ▼(Choose one) H1 : The distribution is not the same as stated in the null…A research team was interested in whether life satisfaction differed between older (> 65 years old) and younger (18 – 35 year old) adults. Ten individuals of each group were surveyed. The maximum possible score was 60 (high level of satisfaction) and the minimum possible scores was 0 (no satisfaction with life). older adults: 45 38 52 48 25 39 51 46 55 46 younger adults: 34 22 15 27 37 41 24 19 26 36 Assume that the research team set α to 0.01 during the design phase of their study. - Calculate the degrees of freedom - State final conclusion for this study based on α and the degrees of freedom, and justify answer.
- 1. The following data represent the operating time in hours for 4 types of pocket calculators before a recharge is required.Fx101 Fx202 Fx303 Fx404 6.4 5.9 7.1 5.3 6.1 5.8 7.1 4.9 6.5 5.9 7.2 6.1 6.2 5.1 7.3 7.1 6.3 5.0 7.4 4.9Test at 0.01 level of significance if the operating times for all four calculators are equal. Use 4 decimal placesSTATISTICS = _____COMPUTED VALUE = _____TABULAR VALUE = _____CONCLUSION = _____8A.If there is no seasonal effect on people getting sick, we would expect equal numbers of people getting sick in each season (winter, spring, summer and fall). A student takes a census of students who took Marketing Research in 2019 and finds that of the 280 students who took Marketing Research in 2019, 75 were sick in winter, 65 were sick in spring, 68 were sick in summer and 72 were sick in fall. She wonders if the excess in the winter is an indication that sickness rates are not uniform throughout the year. Perform the appropriate chi-square test and indicate the chi-square value below. (Report two decimals) QUESTION 8b Indicate whether the associated p-value for the chi-square value you calculated for question 8 is significant. Yes No1) The following data show the results of a study based on the number of hours college students spend playing video games and their GPAs: Number of Hours Playing Video Games(per week)= 42 GPA= 0.2Number of Hours Playing Video Games(per week)= 38 GPA= 0.9Number of Hours Playing Video Games(per week) = 32 GPA= 1.0Number of Hours Playing Video Games(per week) = 26 GPA = 1.1Number of Hours Playing Video Games(per week) = 23 GPA= 1.2Number of Hours Playing Video Games(per week) = 19 GPA= 2.5Number of Hours Playing Video Games(per week) = 15 GPA = 3.0 a) Create a scatter plot and be sure to LABEL BOTH axis and give the chart an overall name. Have the graph display the “r-value” and the correct equation.b) What kind of correlation is this?c) Is this more of a linear or exponential model? Why?d) Predict the standard GPA if a student spends one hour a week playing videogames.
- In this task, you can use all functions of R to help you. In a recently conducted study, it was tested whether there is a connection between job satisfaction and income and seniority in nine randomly selected employees. The value attached to job satisfaction is each employee's own assessment, where 1 describes low satisfaction and 10 high satisfaction. Material: annual income (per thousand dollars) years spent in job satisfaction 47 8 5.6 42 4 6.3 54 12 6.8 48 9 6.7 56 16 7.0 59 14 7.7 53 10 7.0 62 15 8.0 66 22 7.8 The result was the material below a) Fit a two-explainer linear regression model to the data with R's function lm(). What happens to job satisfaction as the number of years increases? For explanatory variables, can the null hypothesis that the corresponding regression coefficient is equal to zero be rejected? b) It is assumed that job satisfaction is only related to years in that job. Estimate the regression parameters using R software. What…The researcher wishes to use graphical descriptive methods to present summaries of the data on each of the two variables: hours worked per week and yearly income Hours Per Week Yearly Income ('000's) 18 43.8 13 44.5 18 44.8 25.5 46.0 11.5 41.2 18 43.3 16 43.6 27 46.2 27.5 46.8 30.5 48.2 24.5 49.3 32.5 53.8 25 53.9 23.5 54.2 30.5 50.5 27.5 51.2 28 51.5 26 52.6 25.5 52.8 26.5 52.9 33 49.5 15 49.8 27.5 50.3 36 54.3 27 55.1 34.5 55.3 39 61.7 37 62.3 31.5 63.4 37 63.7 24.5 55.5 28 55.6 19 55.7 38.5 58.2 37.5 58.3 18.5 58.4 32 59.2 35 59.3 36 59.4 39 60.5 24.5 56.7 26 57.8 38 63.8 44.5 64.2 34.5 55.8 34.5 56.2 40 64.3 41.5 64.5 34.5 64.7 42.3 66.1 34.5 72.3 28 73.2 38 74.2 31.5 68.5 36 69.7 37.5 71.2 22 66.3 33.5 66.5 37 66.7 43.5 74.8 20 62.0 35 57.3 24 55.3 20 56.1 41 61.5 a) The number of observations (n) is 65 individuals. The researcher suggests using 7…On-Time Performance by Airlines According to the Bureau of Transportation statistics, on-time performance by the airlines is described as follows: Action % of time On time 70.8 National Aviation System delay 8.2 Aircraft arriving late 9.0 Other (because of weather andother conditions) 12.0 Records of 200 flights for a major airline company showed that 148 planes were on time;24 were delayed because of weather, 8 because of a National Aviation System delay, and the rest because of arriving late. At =α0.05, do these results differ from the government's statistics? Part: 0 / 5 0 of 5 Parts Complete Part 1 of 5 Identify the claim with the correct hypothesis. H0: On-time performance by airlines is distributed as follows: 70. 8% on-time,8.2% National Aviation System delay, 9.0% aircraft arriving late, and 12.0% other. ▼(Choose one) H1 : The distribution is not the same as stated in the null hypothesis. ▼(Choose…