Number of Active-Duty Gay Servicemembers Discharged from the Military for Homosexuality 1300 (1998, 1163) (2001, 1273) 1200 1100 1000 900 800 (2006, 623) 700 600 (1994, 617) 500 400 300 200 100 *94 '95 '96 '97 '98 *99 *00 '01 '02 '03 '04 °05 °06 °07 '08 '09 '10 Year Source: General Accountability Office a. Find the average rate of change, rounded to the nearest whole number, from 1994 through 1998. Describe what this means. b. Find the average rate of change, rounded to the nearest whole number, from 2001 through 2006. Describe what this means. Number of Discharged Active- Duty Servicemembers
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- Calculateaconfidenceinterval for the me-dian ofthe second population.Select your confidenc eleve land reportit with your answer.??A bag consists of 11 blue coins and 12 red coins. Three coins are selected from the bag in order. If the selected three must contain at least one red coin then how many different possibilites of selecting are there?Obtain the measures of specialized dispersion. The range of glycemia (in mg/dl) of 14 patients of an endocrinologist. 68.9, 71.3,69.2, 110.9, 72.8, 70.6, 66.1, 72.5, 120.4, 79.5, 86.4, 79.7, 122.3, 84.0.
- Makers of generic drugs are required to show that their generic drugs do not differ significantly from the “reference” or brand name drugs that they imitate. One aspect in which the generic drugs might differ is their extent of absorption in the blood. Twelve subjects were available for the study. Six were randomly selected to receive the generic drug first and then, after a washout period, receive the “reference” drug. The remaining six received the “reference” drug first, followed by the generic drug after the washout period. Assume that all conditions are met. The mean of the differences was 1.33 and the standard deviation of those differences was 2.90. What is the test statistic for this procedure? Group of answer choices 2.35 1.59 1.90 5.50A company's quality engineer wants to check whether the average weight of the products coming out of the packaging line does not exceed 10 grams. For this, he measured the weights of the products coming out of the line by making a random selection.The measurement values are presented in the "Product weight of the current state (g)" column in the attached document. After a while, a pressing machine with a newer technology was replaced with a press machine where product losses were frequently experienced in the packaging line. And the products with the same features were weighed after being processed in this new pressing machine. The product weights obtained after the use of the new pressing machine are presented in the column "Product weight after using a new machine (g)". In line with these given, answer the following question using the observation numbers. 1) Using the data set in the column "Product weight of the current state (g)" test whether the average weight of the products…x1: Rate of hay fever per 1000 population for people under 25 96, 92, 122,126, 94, 123,12, 93, 125, 95, 125, 117, 97, 122,127, 88 x2: Rate of hay fever per 1000 population for people over 5097, 112,103, 96,114, 88, 110, 79, 15, 100, 89, 114, 85, 96 x1 = s1 = x2 = s2 = Compute the corresponding z or t-value as appropriate. (Test the difference ?1 − ?2. Do not use rounded values. Round your answer to three decimal places.) What is the value of the sample test statistic? Find a 90% confidence interval for ?1 − ?2. (Round your answers to two decimal places.)lower limit:________upper limit:________
- Two different types of injection-moulding machines are used to form plastic parts. A part is considered defective if it has excessive shrinkage or is discoloured. Two random samples, each of size 300, are selected, and 13 defective parts are found in the sample from machine 1, and 8 defective parts are found in the sample from machine 2. Is it reasonable to conclude that both machines produce the same fraction of defective parts, using α = 0.05, find the value of zcalc? Please report your answer upto 2 decimal places.Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 - - 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.879 2 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.348 11.345 12.838 4 0.207 0.297 0.484 0.711 1.064 7.779 9.488 11.143 13.277 14.860 5 0.412 0.554 0.831 1.145 1.610 9.236 11.071 12.833 15.086 16.750 6 0.676 0.872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 18.548 7 0.989 1.239 1.690 2.167 2.833 12.017 14.067 16.013 18.475 20.278 8 1.344 1.646 2.180 2.733 3.490 13.362 15.507 17.535 20.090 21.955 9 1.735 2.088 2.700 3.325 4.168 14.684 16.919 19.023 21.666 23.589 10 2.156 2.558 3.247 3.940 4.865 15.987 18.307 20.483 23.209 25.188 Conduct the…Mario made a claim that 95% of college male students in their school join triathlon. His friend, Baste, finds this hard to believe and decided to check the validity of such claim, so he took a random sample and found out that 75 out of 90 had joined the race. 1. What is the population proportion? 2. What is the sample proportion? 3. Is the sample large enough to use the Central Limit Theorem?
- Of the total 161 patients with diabetes ketoacidosis (DKA), 13 had DKA before and after the pump therapy, 128 did not have DKA either before or after, 7 had DKA before but not after, and 13 did not have DKA before but after.a) Draw a 2 by 2 table b) Is there any evidence of a difference in the effect? c) Write a brief summary of what the result show.Type II error occurs when an individual fails to reject H0 when H0is false. True or False?The length of fish were measured at 3 different lakes. Is there evidence to suggest that the average length is not the same at all 3 locations? Lake 1: 3.5, 4.2, 6.1, 5.2 Lake 2: 3.1, 3.2, 4.3, 2.1 Lake 3: 5.6, 7.1, 4.4, 4.1, 6.2 Enter the p-value (to 4 decimal places)