A certain species of tree has an average life span of 130 years. A researcher has noticed a large number of trees of this specieswashing up along a beach as driftwood. She takes core samples from 27 of those trees to count the number of rings and measure thewidths of the rings. Counting the rings allows the researcher to determine the age of each tree. Her data are displayed in the providedtable. One of her interests is determining if this sample provides evidence that the average age of the driftwood is less than the 130year life span expected for this type of tree. If the average age is less than 130 years it might suggest that the trees have died fromunusual causes, such as invasive beetles or logging.12798 79 147 200 130 60 5181 98 160 165 134 62 15266Reference: 4-8-Technology105 75 120 113 200 19068 124 190 159 60Describe how you would generate a single randomization sample in this situation, and identify the statistic you would calculate foreach sample.

Given: n = 27 μ = 130 Years. Formula Used: Test-statistic t = X - μsn

Answered: A certain species of tree has an…

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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The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. Body fat percentages using each of these methods for 16 athletes (a subset of the data given in a graph that appeared in the paper) are given in the accompanying table. You can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete X-ray 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 5.00 13.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 11.50 9.25 11.00 12.00 14.00 17.00 18.00 Ultrasound 4.50 9.75 9.00 11.75 17.00 27.50 6.50 6.75 8.75 12.50 9.50 12.00 12.25 15.50 18.00 18.25 Use these data to estimate the difference in mean body fat percentage measurement for the two methods. Use a confidence level of 95%. (Use μ = x-ray ultrasound. Round your answers to three decimal places.) 1% - Interpret the interval in context. O We are 95% confident that the true mean body fat percentage…
Section 3.1, question 4
To inspect manufacturing processes, companies typically examine samples of parts for deficiencies. One company that manufactures ballpoint pens selected samples of ,000 pens on each of 17 days. The company recorded, for each sample of 1,000, the number of defective pens in the sample. Here are their data. 1, 1, 2, 2, 2, 3, 3, 5, 5, 6, 7, 7, 10, 11, 13, 14, 18 Send data to calculator Send data to Excel Frequency 8. 6+ 2+ 2 4 12 16 20 Number of defective pens (out of 1000) O Mean (a) For these data, which measures of OMedian central tendency take more than one value? Mode Choose all that apply. None of these measures OMean (b) Suppose that the measurement 18 (the largest measurement in the data set) were OMedian replaced by 39. Which measures of central tendency would be affected by the change? OMode Explanation Check O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy Accessibility 99+ O Type here to search 2. 4.
The article cited in Exercise 4 also investigated the effects of the factors on glucose consumption (in g/L). A single measurement is provided for each combination of factors (in the article, there was some replication). The results are presented in the following table. Glucose Consumption 68.0 -1 -1 -1 -1 -1 77.5 -1 -1 98.0 1. 1. -1 98.0 -1 -1 74.0 -1 77.0 -1 97.0 98.0 Compute estimates of the main effects and the interactions. a. Is it possible to compute an error sum of squares? Explain. Are any of the interactions among the larger effects? If so, which ones? d. Assume that it is known from past experience that the additive model holds. Add the sums of squares for the interactions, and use that result in place of an error sum of squares to test the hypotheses that the main effects are equal to 0. Ъ. C.
How many samples of size 5 can be chosen from a population of size 8?
Suppose the doctors at a local office take a health survey of 100 adult female patients with similar weight who have had appointments in the last week. According to their medical file, the 100 participants all weigh between 140 – 149 lbs. One of the survey questions asks participants to list their current weight. The accompanying tables show the relative frequency of weights measured by the physician for the 100 participants and the relative frequency of weights recorded in the survey for the 100 participants. Note that some of the weights reported in the survey did not fall between 140 – 149 lbs. Weights reported by physician (to the nearest pound) Weights recorded by participants Weight (in pounds) Relative frequency Weight (in pounds) Relative frequency 140 0.12 140 0.32 141 0.09 141 0.04 142 0.17 142 0.05 143 0.06 143 0.04 144 0.14 144 0.07 145 0.11 145 0.23 146 0.04 146 0.01 147 0.10 147 0.01 148 0.09 148 0.03 149 0.08 149 0.02 Total 1.00 Total 0.82 Select the statements that are…
A certain species of tree has an average life span of 130 years. A researcher has noticed a large number of trees of this species washing up along a beach as driftwood. She takes core samples from 27 of those trees to count the number of rings and measure the widths of the rings. Counting the rings allows the researcher to determine the age of each tree. Her data are displayed in the provided table. 98 79 147 200 130 60 51 127 105 75 120 113 200 190 81 98 160 165 134 62 152 66 68 124 190 159 60 One of her interests is determining if this sample provides evidence that the average age of the driftwood is less than the 130 year life span expected for this type of tree. If the average age is less than 130 years it might suggest that the trees have died from unusual causes, such as invasive beetles or logging. Use technology to create a randomization distribution with at least 1,000 values…
let us say that the weightlifting supplement company informed you that how long a female weightlifter has been lifting impacts the amount of muscle mass they can gain. Suppose that you changed your data collection method from what you did in Problem 1. Now you randomly select one weightlifter from each group (supplement and placebo) that have been lifting for 39 to 40 months. Next, you randomly sample one weightlifter from each group that have been lifting for 37 to 38 months. Then, you continue this process until the 20th pair of weightlifters have lifted for 2 months or less. The data contains the whole body lean mass difference in pounds and training experience in months. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use α=0.05 for any hypothesis test. 1) State the research question in one sentence and use the question to determine the parameter we are using to conduct statistical inference. Describe this parameter in one sentence…
QUESTION 10 Provide an appropriate response. A private opinion poll is conducted for a politician to determine what proportion of the population favors adding more national parks. What size sample should be obtained in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 3%? O 3017 O 1509 O 1068 O 20
During a particularly dry growing season in a southern state, farmers noticed that there is a delicate balance between the number of seeds that are planted per square foot and the yield of the crop in pounds per square foot. The yields were the smallest when the number of seeds per square foot was either very small or very large. The data in the table show various numbers of seeds planted per square foot and yields (in pounds per square foot) for a sample of fields. A 2-column table with 15 rows. Column 1 is labeled number of seeds (per square foot) with entries 28, 75, 30, 43, 71, 35, 40, 59, 66, 79, 85, 81, 16, 33, 16. Column 2 is labeled yield (pounds per square foot) with entries 131, 171, 132, 166, 169, 150, 161, 183, 173, 161, 147, 157, 86, 145, 86. Which scatterplot represents the seed and yield data? A graph titled number of Seeds and Crop Yield has seeds (per square foot) on the x-axis, and yard (pounds per square foot) on the y-axis. The points curve up to a point, and…
Question 1. An inspector wants to estimate the average weight of fill for cereal boxes packaged in a certain factory. The cereal is available to him in cartons containing 4 boxes each, (The inspector randomly selects five cartons and measures the weight of fill for every box in the sampled cartons, with the results (in ounces) as shown in the accompanying table. Knowing that the factory packaged Carton 200 cartoons. M Fill (ounces) 16.5 16.0 16.8 15.9 16.1 16.0 16.2 16.0 16.3 16.1 16.3 16.2 16.0 16.1 Emi 16 16.2 16.4 16.1 1 16.3 1. Calculate the number of boxes packaged in this factory. 2. Find the average cluster size for the sample."»4 3. Find the average cluster size for the population. 4 3 16.2 4 16.2 16 5 16 1 16 2 16 4
A researcher uses an anonymous survey to track the number of salmon caught in Gaspe. Based on a set of 115 surveys distributed to a select few of the many hundreds of anglers who fished Gaspe, it was determined that anglers caught an average of 2.3 salmon per week. For this study, the average of 2.3 salmon per week is an example of which one statistic parameter. population sample

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