State at least one conclusion from your data/graph (For example: State X has lost population by 10000 people, Region X is grew 10% over the last 50 years, etc.)
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Introduction:
The graph of the populations of the four regions- Northeast, Midwest, South, and West are given for every 10 years, from 1910 to 2010.
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- T6 Data 348.5 354 361 365.5 380 413.2 417.4 439.1 445 468.8 472.7 473.9 477.3 477.3 477.3 478.6 479.2 480.8 481 481.4 481.5 482.8 484.1 484.2 485.2 485.9 488.9 488.9 489.7 490 490.7 503 509.5 512.8 516 523.5 524.6 529.8 535.7 541.7 541.7 541.7 548.6 560 577.3 578 589.6 597.7 599.4 600.3 604.2 609 615.8 625.4 this is the data set for #6Suppose a sample of 30 students were given a diagnostic test before studying a particular module and then again after completing the module. We want to find out if, in general, our teaching leads to improvements in students’ test scores. Test/analysis: _________________________________________________________________________ Give H0, H1: _________________________________________One of the markers of toxicity of a proposed drug during drug development is loss of weight in the exposed individuals. Female was exposed to a proposed drug and the effects were observed during a 28 days period. Another record only the vehicle. These two groups were animals of similar age and gender and were all treated in similar ways regarding nutrition, water and environment. Result of the weight of 16 male mice before and after treatment are tabulated in table 2 below: Table 2: Table of the weights (gm) of 16 male mice before (X1a) and after treatment (X1b) X1a 20 21.2 20.6 19.5 18.9 20.2 21 19.6 17.8 18.5 18.3 19.2 19.6 19.4 19.2 19 X1b 20.9 21.9 21.2 21 19.9 20.9 21.8 21 18.6 19.9 19 20 20.1 20 20 20.7 Determine if these was a statistical weight difference (gain/loss in the 2 groups) Using paired t-test
- PLE collects a variety of data from special studies, many of which are related to the quality of its products. The company collects data about functional test performance of its mowers after assembly; results from the past 30 days are given in the worksheet Mower Test. In addition, many in-process measurements are taken to ensure that manufacturing processes remain in control and can produce according to design specifications. The worksheet Blade Weight shows 350 measurements of blade weights taken from the manufacturing process that produces mower blades during the most recent shift. Elizabeth Burke has asked you to study these data from an analytics perspective. Drawing upon your experience, you have developed a number of questions: For the mower test data, what distribution might be appropriate to model the failure of an individual mower? What fraction of mowers fails the functional performance test using all the mower test data? What is the probability of having x failures in the…A company that supplies gasoline to a city has recorded the weeklyusage (tons/week) for the past 3 years. The file BA2854GasolineRecord.xlsxcontains this record.(a) Propose a method for predicting the demand for gasoline. Use thatmethod to forecast demand for next year (weeks 157 to 208).(b) Improve your prediction in part (a) by including a statement about demand variability. (Hint: Look at or the range of the data.) week demand (tons) 1 1174.5 2 1316.2 3 1197 4 1127.3 5 1193.1 6 1260.7 7 1378.2 8 1273.7 9 1366.4 10 1113 11 1177.7 12 1056 13 1291.2 14 1269.1 15 1289.6 16 1181 17 1249 18 1212 19 1286.2 20 1204.8 21 1266.2 22 1332.4 23 1236.3 24 1266.1 25 1415.3 26 1100.1 27 1208.1 28 1505.1 29 1282.7 30 1190.5 31 1152.8 32 1089.7 33 1404.7 34 1308.6 35 1255.4 36 1106.7 37 1484.6 38 1317.4 39 1294.7 40 1154 41 1449.9 42 1174.9 43 1466.9 44 1282.4 45 1228 46 1174 47 1196.2 48 1443.8 49…A mutation in Gene A is thought to be associated with a disease. The mutation in Gene A is found in 5% of the population. 2% of the whole population is diagnosed with disease B at some point in their life time. 1% of the population both has the mutation and also gets diagnosed with the disease in their life time. Is the provided data adequate to test the independency of mutation in Gene A and occurrence of Disease B? If it is not, what other information or data is needed to test the independency? What is the probability of Disease B, among the individuals with the mutation in Gene A? What is the probability of having the mutation in Gene A among the individuals with Disease B? If an individual has the mutated Gene A, what is their Relative Risk of developing the disease?
- Otitis media is a disease that occurs frequently in the firstfew years of life and is one of the most common reasonsfor physician visits after the routine checkup. A study wasconducted to assess the frequency of otitis media in thegeneral population in the first year of life. Table 4.15 givesthe number of infants of 2500 infants who were first seen atbirth who remained disease-free by the end of the ith monthof life, i = 0, 1, . . . , 12. (Assume no infants have been lostto follow-up.) Disease-free infants ati the end of month i0 25001 24252 23753 23004 21805 20006 18757 17008 15009 130010 125011 122512 1200 Suppose an “otitis-prone family” is defined asone in which at least three siblings of five develop otitis media in the first 6 months of life. What proportionof five-sibling families is otitis prone if we assume thedisease occurs independently for different siblings in afamily?The goal of a ________ is to explain the relationship between observed phenomena, without necessarily being directly testable. datum theory hypothesis quantitative studyBeryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics. Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized, continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows: Duration of Exposure <1 1 to <5 ≥5 Diseased 14 13 18 Sensitized 11 20 15 Normal 78 140 209 Test the hypothesis of independence. Use the a=0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? State the null and alternate hypotheses.
- Suppose we want to predict job performance of Chevy mechanics based on mechanical aptitude test scores. Job Performance Mechanical Aptitude 1 40 2 45 1 38 3 50 2 48 3 55 3 53 4 55 4 58 3 40 5 55 3 48 3 45 2 55 4 60 5 60 5 60 5 65 4 50 3 58 6 60 3 45 Test at 0.05 level of significance. Assuming data is normal. Use 2 decimal places. Pick one method to be used: Chi-Square Test Mann Whitney U Test Spearman Rank and Friedman Test Mc Nemar’s Test for Correlated Proportions Kendall’s Coefficient of Concordance W Kolmogorov-Smirnov Test Multiple Regression After picking one method to be used, answer the following: What test method to be used: R: Coefficient of Determination: Slope of the line: Y intercept:#Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? And how to draw the linear regression graph based on this model? Thanks.#Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? Thanks.