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Q: Walking Cycling Subject 1 2 3 Running 1.4 1.1 0.7 1.5 1.2 0.8 1.3 1.8 1.7 0.7 0.8 1.3 1.6 0.7 0.1 6…
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A: It is given that Mean, μ = 85 Standard deviation, σ = 13
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Q: Part: 1/4 Part 2 of 4 (b) Find the probability that the person has high cholesterol. The probability…
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A: From above tableY^=98.74-1.006x r2=0.81
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A: Note: Hi, thank you for the question. As per our company guideline we are supposed to answer only…
Q: Open label study
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A: Hey there! Thank you for posting the question. Since there are multiple questions posted, we will…
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A: Given a scenario of collecting data. We have to choose the correct option.
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- Consider a study of depression that examines change over time (that is, getting a test result after each month for three months) for one new medication. Which ANOVA method would you like to apply? Group of answer choices Repeated measures ANOVA Depedent t-test Indepedent t-test Two factor ANOVA None of the ANOVA methods are applicable for this studySalinity in Quebec river is a combination of tides and rain. Rain that diluted the salt occurs about 10% of the time, while the non salty outgoing tides occurs twice per day. You take your dog for a walk down by the river at random during the weekend and notice that he'll drink from the river 30% of the time when the salt is sufficiently low. Questions A/ during the drought ( rain no longer 10% of the time ) what fraction of the day would tide make the river sufficiently non- salty? Please explain and write clearly.The results for a blood test for a certain disease are shown in the table below. Based on the table, what is the prevalence of the disease? T+ T- Total D+ 290 10 300 D- 3219 481 3700 Total 3509 491 4000 A. 0.09 0.97 O B. 0.0725 290 Screenshot
- Water and Carbohydrates There are many interesting relationships among the various nutrients found in fruits and vegetables. Listed below are the number of grams of water and the number of grams of carbohydrates for a random selection of raw foods ( 100 g each). Water 74.69, 81.33, 79.42, 77.37, 77.87, 73.70, 85.47 Carbs 23.36, 16.65, 20.64, 20.33, 21.73, 23.35, 16.85 The correlation coefficient for the data is r= -.920 and a= .05. Should regression analysis be done? The regression analysis should not be done or The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary y'= a+bx a= b= find y' when x= 78. Round the answer to at least three decimal places, if necessary y'=Q3 A researcher wish to compare four manufacturing methods on the breaking strength of plastic. Four types of machines are used in this experiment. He believed that machines have an effect on the plastics breaking strength. However, each machine can operate only three methods during the experiments on a given day. Table Q3 shows the data of the experiment. Table Q3: Four manufacturing methods on the breaking strength of plastic Manufacturing Methods Machine 2 1 A=73 C=73 D=75 2 A=74 B=75 C=75 3 B=67 C=68 D=72 4 A=71 В-72 D=75 What is the name of the design? Write an appropriate statistical model then list the assumptions and identify the terms. (a) (b) Is this design symmetric ? Justify your answer. State if the design balance or not. Discuss how to achieve balance in this design ? Justify your answer. (c) (d) Test the hypothesis at a = 0.05 whether there is an effect of the four manufacturing methods on the breaking strength of plastics.* Question Completion Status: QUESTION 10 The data in the figure represents the number of stars earned by 140 performers in a talent competition. 35 30 25 20 1 2 3 4 Number of Stars How many performers earned exactly 1 star? Percentage of Performers (N = 140)
- Darts A student interested in improving her dart-throwingtechnique designs an experiment to test 4 differentstances to see whether they affect her accuracy. Afterwarming up for several minutes, she randomizes theorder of the 4 stances, throws a dart at a target using each stance, and measures the distance of the dart in centime-ters from the center of the bull’s-eye. She replicates this procedure 10 times. After analyzing the data she reportsthat the F-ratio is 1.41.a) What are the null and alternative hypotheses?b) How many degrees of freedom does the treatmentsum of squares have? How about the error sumof squares?c) What would you conclude?d) What else about the data would you like to see in orderto check the assumptions and conditions?e) If your conclusion in part c is wrong, what type oferror have you made?hapter 1, Section 2, Exercise 041 The population is the approximately 29,000 protein-coding genes in human DNA. Each gene is assigned a number (from 1 to 29,000), and computer software is used to randomly select 500 of these numbers yielding a sample of 500 genes.State whether or not the sampling method described produces a random sample from the given population. Random Not randomDoctor Specialties Below are listed the numbers of doctors in various specialties by gender. Psychiatry Pathology Gynecology Male 27,319 12,551 23,813 Female 14,066 6620 18,520 Send data to Excel Choose 1 doctor at random. Part: 0 / 4 Part 1 of 4 (a) Find P (female psychiatry). Round your answer to three decimal places. P (female|psychiatry) = |
- Data point X value is 120 and has an assigned weight of 5 Data point Y value is 300 and has an assigned weight of 7 Data point Z value is 285 and has an assigned weight of 2 What is the weighted average? Round to one decimal place.Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…The Sample Coefficient of Variation is _______________
