1. The dependent variable in this scenario is quantitative. (enter T for true or F for false). 2. The independent variable in this scenario is quantitative. (enter T for true or F for false) 3. To run an ANOVA analysis in for this scenario, what is the sample size?
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- A quality-control technician collects a random sample of 10 rivets from each of four different suppliers and subjects them to a shear strength test to failure 1. The dependent variable in this scenario is quantitative. (enter T for true or F for false) ____ 2. The independent variable in this scenario is quantitative. (enter T for true or F for false) _____ 3. To run an ANOVA analysis in for this scenario, what is the sample size? _____Question 19 A manufacture makes light-weight sneakers, and claim that the average weight of one sneaker is no bigger than 2 pounds. To verify this claim, a sample of 9 sneakers are weighed, and the sample mean is 2.4 pounds with the sample variance of 0.25 pounds^2. Assuming the weights of sneakers are normally distributed, we would like to test the claim of the manufacture at 10% level of significance. Please select the correct statement from below:Poly(3-hydroxybutyrate) (PHB), a semicrystalline polymer that is fully biodegradable and biocompatible, is obtained from renewable resources. From a sustainability perspective, PHB offers many attractive properties though it is more expensive to produce than standard plastics. The accompanying data on melting point (°C) for each of 12 specimens of the polymer using a differential scanning calorimeter appeared in an article. (b) the sample variance s2 from the definition [Hint: First subtract 180 from each observation.] (c) the sample standard deviation (d) s2 using the shortcut method
- Question 2 There is a claim that drink driving has been very common in high ways. The Highway Police randomly caught 300 drivers for breath alcohol test and found that 14% of drivers have breath alcohol over the legal limit. At 4% level of significance, use the p-value approach to test the hypothesis that the percentage of drivers who are drink driving is more than 10%.A) Familywise error rate for 5 from 5 independent populations with 99% CI, is? B) Sampling error in an infertial statistics problem can be over come by? C) In regression analysis if SSR = 20.213 and SST = 43.214 then linearity between variables is equal to?Question 15 - ANOVA 1 National bearings manufactures bearings at plants located in Portland Oregon, Houston Texas and Jacksonville, Florida. To measure employee knowledge of Total Quality Management (TQM), six employees were randomly selected at each plant and tested. The test scores of these employees are given in the attached data. Managers want to know if, on averge, knowledge of TQM is equal across the 3 plants. Test equality of mean scores at x=0.05.
- Question 2. The number of computer malfunctions per day is recorded for 600 as follows:# of malfunctions Frequency0 1501 502 1503 or more 250 total Test the goodness of fit for an appropriate model that could be Poisson distributed with a meanof 1.5 malfunctions per day. Conduct the appropriate hypothesis test using a significance levelequal to 0.05. Interpret the resultsAn experiment was conducted to investigate the effects of the concentrations of sulfuric acid (H2SO4) and calcium chloride (CaCl2) on the amount of black mud precipitate in the treatment of alkaline wastewater. There were three levels of each concentration, and two replicates of the experiment were made at each combination of levels. The relevant statistical analysis is provided in the following table: (image) a) The appropriate statistical analysis to test would be: I. One-way ANOVA II. Two-way ANOVA III. Three-way ANOVA IIIV. Two-Sample t-test b) Does there appear to be an interaction between concentration of sulfuric acid and calcium chloride at the .05 level? What does this say about the additive model? c) Can the effect of concentration of sulfuric acid on amount of black mud precipitate in the treatment of alkaline wastewater be described by interpreting the main effects of concentration of sulfuric acid? If so, interpret the main effects at the .05 level, including the…QUESTION 1 What are the degrees of freedom for a study that used a paired samples t-test and had 63 people in the study? QUESTION 2 A study used a within the design and had a degree of freedom of df= 49. How many participants were in the sample? QUESTION 3 Why do we not test for homogeneity with a paired samples t-test? we assume that the two samples we have chosen will have the same variance since the same sample is used in both conditions, we assume the data remains homogeneous the variance is too large that we cannot perform the test we assume there is no variability when using paired sample designs
- Suppose an insurance company wishes to determine if the amount of time a patient spends in the hospital is affected by whether or not the patient has medical insurance. The insurance company suspects that since insurance pays most of the hospital bills, a doctor might keep a person who has insurance in the hospital longer than if that person had to pay all of the expenses because he/she did not have insurance. In order to test these suspicions, the company randomly samples the average stay (in days) of both insured and uninsured patients in a number of hospitals and comes up with the following data. Assume the patient data are normally distributed and the population standard deviations are equal. (sorry this is the best example I can give for the problem) the numbers are actually supposed to be on the lower right side (like a square root I guess) Insurance: xbar 1=17.3, s1 =1.2, n1=29 No Insurance: xbar 2=15.1, s2=2.1, n2=15 Does the data provide sufficient evidence to support the…At age 9 the average weight for both boys and girls are exactly the same. A random sample of 9 year olds gave the following results.... Boys: Girls:Sample Size: 65 50Mean weight (lbs): 130 125Pop. Variance: 120 130 At alpha 0.05, do the data support the claim that there is a difference in heights?Tardigrades, or water bears, are a type of micro-animal famous for their resilience. In examining the effects of radiation on organisms, an expert claimed that the amount of gamma radiation needed to sterilize a colony of tardigrades no longer has a mean of 1350 Gy (grays). (For comparison, humans cannot withstand more than 10 Gy .) A study was conducted on a sample of 18 randomly selected tardigrade colonies, finding that the amount of gamma radiation needed to sterilize a colony had a sample mean of 1375 Gy , with a sample standard deviation of 75 Gy . Assume that the population of amounts of gamma radiation needed to sterilize a colony of tardigrades is approximately normally distributed. Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.05 level of significance, to support the claim that μ , the mean amount of gamma radiation needed to sterilize a colony of tardigrades, is not equal to 1350 Gy .
