**The Effectiveness of a New Bug Repellent**The effectiveness of a new bug repellent is tested on 14 subjects over a 10-hour period. (Assume a normally distributed population.) Based on the number and location of the bug bites, the percentage of surface area exposed and protected from bites was calculated for each subject. The results were as follows:- $\bar{x} = 95$- $s = 15$The new repellent is considered effective if it provides a percent repellency of more than 91. Using $\alpha = 0.01$, construct a hypothesis test with the null hypothesis $\mu = 91$ and alternative hypothesis $\mu > 91$ to determine whether the mean repellency of the new bug repellent is greater than 91 by computing the following:(a) The degree of freedom(b) The test statistics (give to 3 decimal places)

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Answered: The effectiveness of a new bug…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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An experiment was performed in chemical engineering in order to agua se investigate the conditions most appropriate to efficiently converter n-heptane to acetylene. (These are chemicals used as fuel, amongst legg other things.) The experiment consisted of 16 runs. The response variable, y, was the amount of n-heptane converted to acetylene, expressed as a percentage. There were two explanatory variables: T₁: the temperature (°C) at which the experimental run took place; 12: the 'mole ratio' of hydrogen to n-heptane. The multiple regression model fitted to the data from this experiment is 340 ord y = -130.7+0.134x1 +0.351x2. (You may assume that a graphical analysis of residuals suggests that this model fits well.) (i) Interpret what the values of the two regression coefficients tell us. about the conversion of n-heptane to acetylene. dois ted S (ii) What, according to the fitted model, is the predicted conversion percentage if the temperature is 1200 °C and the mole ratio is 10? (iii)…
Can I have step by steo instructions to do this in excel? Thank you
Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost estimating purposes, managers use two hours of labor time for the planting of a medium- sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). Select your answer - 2 t Họ:1 H₂H b. Compute the sample mean. (to 2 decimals) c. Compute the sample standard deviation. (to 4 decimals) d. Find the test statistic and p-value. (Use Table 2 in Appendix B.) - Select your answer - 2 ✓ (to 3 decimals) 2.9 3.4 With a 0.05 level of significance, test to see whether the mean tree-planting time differs from two hours. a. State the null and alternative hypotheses. Select your answer - 1.5 v 2.4 1.6 4 2.6 p-value e. What is your conclusion? We Select your answer-reject the null hypothesis. There - Select…
A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=9 in each sample.The first sample receives the drug every day. The second sample is given the drug once a week, and the third sample receives no drug at all (the control group). These assignments of drugs are called treatments.The (dependent) variable being compared is the amount of food eaten by each rat over a 1-month period. These data are analyzed by an ANOVA, and the results are reported in the following summary table. How many groups (or population means or treatments) are being compared in this problem? _________ (Enter a whole number) What is the total number of data used in this problem? _________(Enter a whole number) Fill in all missing values in the table. (Hint: Start with the df column and your above answers.)If there are decimal places in your answer, provide 2 or more decimal places. Source of Variation SS df MS F…
To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material. Compute the values below (to 2 decimals, if necessary). Sum of Squares, Treatment Sum of Squares, Error a. Use these data to test whether the population mean times for mixing a batch of material differ for the three manufacturers. Use a = 0.05. Mean Squares, Treatment 0000 Mean Squares, Error Calculate the value of the test statistic (to 2 decimals). 1 17 23 21 19 What conclusion can you draw after carrying out this test? - Select your answer - Manufacturer 2 28 26 31 27 + 3 18 17 21 20 The p-value is - Select your answer - What is your conclusion? - Select your answer - b. At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3. Calculate Fisher's LSD Value (to 2 decimals).
A researcher want to know if there is a relationship between sleep and anxiety. The researcher randomly selected n = 5 participants and asked each to rate their sleep quality and anxiety level on a scale of 1 to 5. The data are below: Sleep X Anxiety Y 2 2 3 3 2 2 4 2 5 2 Calculate Pearson's r
(6 to 9) The level of cretaine phosphokinase (CPK) in blood samples measures the amount of muscle damage for athletes. At Jock State University, the level of CPK was determined for each of 25 football players and 15 soccer players before and after practice. The two groups of athletes are trained independently. The data summary is as follows : For football players: n=25 Before Practice After Practice Difference (Before-After) Mean 254.73 225.6 29.13 Standard deviation 115.5 132.6 21.00 For soccer players: n=15 Before Practice After Practice Difference (Before-After) Mean 177.1 173.8 3.3 Standard deviation 60.7 64.4 6.88 Assume that all the data above are normal, use the information above to answer problem (7) Construct a 95% Confidence Interval for the difference in mean CPK values for football players BEFORE and AFTER exercises.
A random sample of 150 individuals (males and females) was surveyed, and the individuals were asked to indicate their year incomes. The results of the survey are shown below. Income Category Category 1: $20,000 up to $40,000 Category 2: $40,000 up to $60,000 Category 3: $60,000 up to $80,000 Edit Format Table Test at a = .05 to determine if the yearly income is independent of the gender. (CSLO 1,6,7) 12pt Male 10 35 15 V Paragraph BI U A Female 30 15 45 > 2 T² :

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