3. When programming from a terminal, one random variable of concern is the response time inseconds. These data are obtained for one particular installation:1.48 1.261.521.561.481.461.301.281.431.431.551.571.511.531.681.371.47 1.611.491.431.641.511.601.651.601.64 1.511.511.53 1.74а.Find a 95% confidence interval on o?.b. Find a 95% confidence interval on o.

Answered: Image /qna-images/answer/845cd886-8609-4a07-9ec6-f68ea139e8d3.jpg

Answered: 3. When programming from a terminal,…

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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3. A consumer agency wanted to find out of the mean time taken by each of three brands of medicines to provide relief from a headache is the same. The first drug was administered to six randomly selected patients, the second to four randomly selected patients, and the third to five randomly selected patients. The following table gives the time (in minutes) taken by each patient to get relief from a headache after taking the medicine. Drug I 25 38 42 65 47 52 Drug II 15 21 19 25 Drug III 44 39 54 58 73 At a 2.5 % significance level, will you conclude that the mean time taken to provide relief from a headache is the same for each of the three drugs? Use the Critical Value Approach
A researcher wants to investigate whether single people who own pets are happier than singles without pets. A mood inventory is administered to a group of 20-29 years old non-pet owners and a similar age group of pet owners. The pet owners are also matched one one one with non-pet owners for income, number of close friends, and general health. The data are as follows: Non-pet owner pet owner 10 15 9 9 11 10 11 19 5 17 9 15 is there a significant difference in the mood scores for non-pet owners and pet owners?
8) A certain group of parents reports that Amino Food Supplement did not help increase the weight of their own children. The manufacturer of the food supplement then conducted a study on a random sample of children by getting their weight, giving them the food supplement for a month, and getting their weight again. Following is the sample data set on weights (in pounds) Child Without FS With FS 1 63 79 2 93 92 3 84 91 4 72 80 65 69 72 85 7 91 99 8 71 81 What is the conclusion here, at 0.01 level of significance? CO
The accompanying data are x = advertising share and y = market share for a particular brand of soft drink during 10 randomly selected years. x 0.104 0.072 0.072 0.077 0.086 0.047 0.060 0.050 0.070 0.052 y 0.137 0.127 0.120 0.086 0.079 0.076 0.065 0.059 0.051 0.039 b)Calculate the equation of the estimated regression line. (Round your answers to four decimal places.) d)Calculate a point estimate of ?e. (Round your answer to five decimal places.)
5. A team leader tracks the number of items produced by three workers who each work on three different machines for three different days. Here are the data: Data Worker Machine 1 1 15 16 19 12 13 8 12 14 11 17 14 18 7 11 10 12 9. 20 18 17 8 10 11 13 10 11 Using a=0.05, test the following claims: a. The machine used has no effect on the number of items produced. b. The choice of worker has no effect on the number of items produced. c. The interaction between worker and machine has no effect on the number of items produced. 3. 2. 3.
A survey described the results of a poll of working adults in Canada. Each person in a random sample was classified according to gender and the number of vacation days he or she usually took each year. The resulting data are summarized in the given table. Days of Vacation Gender Male Female None 51 42 1-5 21 25 6-10 67 79 11-15 106 98 16-20 71 70 21-25 82 58 More than 25 118 79 (a) Is it reasonable to conclude that there is an association between gender and the number of vacation days taken?Test the appropriate hypotheses using a 0.05 significance level. Calculate the test statistic. (Round your answer to two decimal places.)?2 =
Every day in the summer months a supermarket receives a shipment of peaches. The supermarket’s quality inspector arranges to have one box randomly selected from each shipment for which the number of “spoiled” peaches (out of 48 peaches in the box), which cannot be put out on the supermarket shelves, is recorded. DS 6.1.5 shows the data set obtained after 55 days. Define the population from which the sample is taken. Do you think that it is a representative sample?
A doctor wants to determine if a new medication for cholesterol is more effective than the previous medication. The doctor asks her patients if they would like to take part in a study for a new medication, and 30 patients currently taking medication for cholesterol volunteer to participate. Which of the following would be an appropriate procedure for this experiment? The doctor needs to randomly assign 15 patients to the new medication and 15 to the original medication to even out the variability between the patients. The doctor needs to assign the first 15 patients to the new medication and 15 to the original medication to even out the variability between patients. The doctor needs to let the 30 patients choose which medication they are going to take through use of a survey to determine whether they want to participate in the experiment. The doctor needs to randomly assign the 30 patients to the new medication to even out the variability between the patients and to determine if…
To test for any significant difference in the number of hours between breakdowns for four machines, the following data were obtained. Machine1 Machine2 Machine3 Machine4 6.7 8.7 11.1 9.8 8.0 7.5 10.3 12.9 5.4 9.5 9.6 12.1 7.6 10.1 10.2 10.9 8.6 9.2 9.0 11.3 7.5 9.6 8.6 11.4 Use the Bonferroni adjustment to test for a significant difference between all pairs of means. Assume that a maximum overall experimentwise error rate of 0.05 is desired. Find the value of LSD. (Round your comparisonwise error rate to three decimal places. Round your answer to two decimal places.) LSD = Find the pairwise absolute difference between sample means for each pair of machines. x1 − x2= x1 − x3= x1 − x4= x2 − x3= x2 − x4= x3 − x4= Which treatment means differ significantly? (Select all that apply.) There is a significant difference between the means for Machine 1 and Machine 2.There is a significant difference between the means for Machine 1 and Machine 3.There is a significant…
▾ Part 1 of 4 A pharmaceutical company claims their new diabetes medication results in less variance in a patient's glucose level than if the patient were on no medication at all. An endocrinologist wishes to test this claim. She divides participants randomly into two groups. Group A consists of 20 diabetics who received the medication; group B consists of 26 diabetics who received a placebo. After two weeks, the blood sugar level of each patient in each group was measured with the following results (in mg/dL): Group A: 77.8, 229.4, 199.9, 110.1, 180.2, 116.1, 139.7, 171.1, 37.4, 158.1, 88.4, 195.5, 246.1, 142.4, 178.1, 105.5, 179.6, 146.1, 78.8, 123.7 Group B: 124.5, 130.1, 136, 162.8, 113.4, 72.8, 142.6, 50.3, 179.8, 197, 230, 194.3, 171, 109.3, 114.4, 107.5, 114.7, 195.3, 127.7, 126.4, 85.6, 166.7, 182.3, 113.5, 216.7, 162.8 Perform a hypothesis test using a 6% level of significance to test the pharmaceutical company's claim. Step 1: State the null and alternative hypotheses. Ho:…
Suppose an Internet retailer would like to investigate the linear relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of 12 customers. Order Size Time Order Size 20 $71 4 $60 11 $29 38 $365 26 $90 8 $132 22 $203 36 $155 3 $49 22 $78 12 $39 7 $249 α=0.01 The test statistic is t=1.93 The p-value is (Round to four decimal places as needed.)
5. An article in Agricultural Engineering (December 1964, pp. 672-673) described an experiment in which the daily weight gain of swine is evaluated at different levels of housing temperature. The mean weight of each group of swine at the start of the experiment is considered to be a nuisance factor. The data from this experiment are as follows: Mean Weight (lbs) Housing Air Temperatures (°F) 100 50 60 70 80 90 1.37 1.58 2.00 1.97 1.40 100 0.39 150 1.47 1.75 2.16 1.82 1.14 -0.19 200 1.19 1.91 2.22 1.67 0.88 -0.77 Does housing air temperature affect mean weight gain at a = 0.05?

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