Fitness Laura has a company with 16 employees. Each employee has a device that records • how many steps they take each day • their resting heart rate.
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- Suppose Laura, a facilities manager at a health and wellness company, wants to estimate the difference in the average amount of time that men and women spend at the company's fitness centers each week. Laura randomly selects 15 adult male fitness center members from the membership database and then selects 15 adult female members from the database. Laura gathers data from the past month containing logged time at the fitness center for these members. She plans to use the data to estimate the difference in the time men and women spend per week at the fitness center. The sample statistics are summarized in the table. Population Populationdescription Population mean(unknown) Samplesize Sample mean(min) Sample standarddeviation (min) 11 male μ1 n=15 x¯1=137.7 s=51.7 22 female μ2 n=15 x¯2=114.6 s=34.2 df=24.283 The population standard deviations are unknown and unlikely to be equal, based on the sample data. Laura plans to use the two-sample ?-t-procedures to estimate the…A sports psychologist wants to compare the running time for athletes vs non-athletes while running 1 mile. He collects data from 226 non-athletes and 166 athletes and analyzes it using SPSS.ABC company has recently experienced a sharp decline in its stock price. Its current (time 0) stock price is $42.65, and this morning, it paid $5.00 per share. Given that the stock price four years ago was $82.88, complete the following time series of data by determining the missing values. t= -3, Pt =$83.43, Divt = $16.03, Rt = (1)t= -2, Pt =$85.20, Divt =(2), Rt = 22.8482%t= -1, Pt =(3), Divt =$17.50, Rt = 20.6572%t= 0, Pt =$42.65, Divt =$5.00, Rt =(4)
- Do poorer people tend to have shorter lives than richer people? Two researchers ranked all counties in the United States by their poverty level and then divided them into 2020 groups, each representing approximately 5%5% of the overall U.S. population. The bottom 5%5% were the least impoverished (wealthiest) and top 5%5% (the 100th100th percentile) the most impoverished. Life expectancies at birth for each of the 2020 groups were calculated based on life tables. The table contains the data for poverty percentiles (with higher percentiles corresponding to greater poverty) and life expectancies at birth (in years) in 2010 for males in the 20 groups.20 groups. Percentile rank Life expectancy of males 55 7979 1010 7979 1515 7878 2020 77.577.5 2525 77.577.5 3030 77.577.5 3535 7777 4040 76.576.5 4545 7777 5050 7777 5555 76.576.5 6060 7676 6565 7676 7070 7777 7575 76.576.5 8080 7575 8585…A statistics professor for STAT 250 wants to investigate how long it takes students to complete Exam 1. The times that it took all 715 STAT 250 students in Spring 2022 were recorded in the data set “Time to Complete Exam 1” found in StatCrunch. The time is recorded in minutes. A student who completed the exam in 50:30 (50 minutes and 30 seconds) would be recorded as 50.5 minutes. Find the proportion of all 50 minutes or more. (X ≥ 50). You can click on the bars of your histogram to help obtain this value. Show the values used for the calculation of the proportion as well as your answer. Round your proportion to four decimal places.Surfer Dude Swimsuit Company plans to produce a new line of quick-dry swimsuits. Five textile companies are competing for the company’s quick-dry fabric contract. To check the fabrics of the five companies, Surfer Dude selected 10 random swatches of fabric from each company, soaked them with water, and then measured the amount of time (in seconds) each swatch took to dry when exposed to sun and a temperature of 80 F. The following table contains the amount of time (in seconds) each of these swatches took to dry.
- Surfer Dude Swimsuit Company plans to produce a new line of quick-dry swimsuits. Five textile companies are competing for the company’s quick-dry fabric contract. To check the fabrics of the five companies, Surfer Dude selected 10 random swatches of fabric from each company, soaked them with water, and then measured the amount of time (in seconds) each swatch took to dry when exposed to sun and a temperature of 80 F. The following table contains the amount of time (in seconds) each of these swatches took to dry. CompanyA 756B 791C 773D 760E 763Time in seconds 801 750 696 761 794 773 723 699 699 753777 772 760 741 740 780 756 834 744 793768 812 810 770 801 794 791 742 799 803770 743 824 823 815 845 719 776 743 739 801 724 812 796 807 a) Write the null and alternative hypotheses. b) What are the degrees of freedom for the numerator and thedenominator? c) What are the values for the SSB, SSW, and SST. d) Show the rejection…Surfer Dude swimsuit company plans to produce a new line of quick-dry swimsuits. Four textile companies are competing for the company’s quick-dry fabric contract. To check the fabrics of the four companies, Surfer Dude selected 10 random swatches of fabric from each company, soaked them with water, and then measured the amount of time (in seconds) each swatch took to dry when exposed to sun and a temperature of 80 F. The following table contains the amount of time (in seconds) each of these swatches took to dry.CompanyTime in secondsA756801750777772768812770743824B791696761760741810770823815845C773794773740780801794719776743D760723699756834791742739801724You are required to conduct a hypothesis test using the ANOVA method to decide whether the mean drying times for all fabrics produced by the four companies are the same. You can use either excel or formulae to answer this question. Note: If using excel, summit a copy of the ANOVA output with your answer.a) Write the null and…Describe about the three positive relationships of Scatterplots?
- At α = 0.01, check whether the shoe number differs between male and female students. In the attachment, you send only PART of the data, what the data looks like.One operation of a mill is to cut pieces of steel into parts that are used in the frame for front seats in an automobile. The steel is cut with a diamond saw, and the resulting parts must be cut to be within 0.005 inch of the length specified by the automobile company. The measurement reported from a sample of 100 steel parts (stored in “Assignment 2 – Steel.xlsx” ) is the difference, in inches, between the actual length of the steel part, as measured by a laser measurement device, and the specified length of the steel part. For example, the first observation, -0.002, represents a steel part that is 0.002 inch shorter than the specified length. -0.0042 0.0057 0.0031 -0.0085 -0.0087 0.0083 0.0035 -0.0070 0.0040 0.0080 0.0094 -0.0036 -0.0067 0.0052 0.0100 -0.0010 0.0077 0.0010 -0.0060 -0.0025 -0.0022 -0.0097 0.0047 0.0060 0.0006 -0.0044 0.0015 0.0089 -0.0039 -0.0064 -0.0046 -0.0096 0.0021 -0.0071 -0.0020 0.0009 -0.0028 -0.0060 0.0001 -0.0057 -0.0062 0.0054 0.0061 0.0090 0.0004 0.0051…Over the past 40 years, the percentage of homes in the United States with smoke detectors has risen steadily and has plateaued at about 96% as of 2015.† With this increase in the use of home smoke detectors, what has happened to the death rate from home fires? Suppose the following contains 17 years of data on the estimated percentage of homes with smoke detectors and the estimated home fire deaths per million of population. Percentage ofHomes withSmoke Detectors Home Fire Deathsper Millionof Population 0.52 22.8 0.69 20.7 0.76 17.2 0.78 20.4 0.79 19.3 0.84 18.8 0.83 17.5 0.87 16.1 0.88 13.5 0.90 14.3 0.92 14.2 0.94 12.9 0.95 10.8 0.96 10.8 0.97 10.1 0.96 8.3 0.96 8.0 (a) Do you expect a positive or negative relationship between smoke detector use and deaths from home fires? Why or why not? We would expect there would be a ---Select--- negative positive relationship between smoke detector use and deaths from home fires. As more households have…
