11. Tumbleweed, commonly found in the western United States, is the dried structure of certainplants that are blown by the wind. Kochia, a type of plant that turns into tumbleweed at the endof the summer, is a problem for farmers because it takes nutrients away from soil that wouldotherwise go to more beneficial plants. Scientists are concerned that kochia plants are becomingresistant to the most commonly used herbicide, glyphosate. In 2014, 19.7 percent of 61 randomlyselected kochia plants were resistant to glyphosate. In 2017, 38.5 percent of 52 randomlyselected kochia plants were resistant to glyphosate. Do the data provide convincing statisticalevidence, at the level of a = 0.05, that there has been an increase in the proportion of all kochiaplants that are resistant to glyphosate?201420 plan2017

Given that,Tumbleweed, commonly found in the western united states, is the dried structure of…

Answered: 11. Tumbleweed, commonly found in the…

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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1. A recent report on elementary schools in Tarrant county claimed that 13% of elementary students typically walk to school. Luka thinks that the proportion is different than 0.13 at his large elementary school. Luka surveys a random sample of 80 students from his school and finds that 17 typically walk to school. Do the data provide convincing evidence that Luka's school has a different proportion of walkers than claimed by the report? Use a = 0.01.
A team of government researchers would like to determine whether a new tax on cigarettes has any effect on people’s smoking behavior. Specifically, they are expecting that by increasing the price of cigarettes, people’s will buy fewer packs of cigarettes (ultimately leading to decreases in cigarette smoking). During the year before the tax was imposed, stores located in rest areas on the state highways reported selling an average of µ = 410 packs per day. The distribution of daily sales was approximately normal. For a random sample of n = 25 days during the first year following the new tax, the researchers found an average of x̅= 380 packs per day for the same stores, with a standard deviation of s = 60. Is the sample mean sufficient to conclude that there was a significant decrease in cigarette purchases after the new tax? Use a one-tailed test with α = .01.
22. Recent research has demonstrated that music-based physical training for elderly people can improve balance and walking efficiency and reduce the risk of falls (Trombetti et al., 2011). As part of the training, participants walked in time to music and responded to changes in the music's rhythm during a 1-hour per week exercise program. After 6 months, participants in the training group increased their walking speed and their stride length compared to individuals in the control group. The following data are similar to the results obtained in the study. Exercise Group Stride Length Control Group Stride Length 24 25 22 24 23 20 23 26 17 21 22 20 16 21 17 22 19 24 23 18 23 16 20 23 28 25 23 25 19 17 16 Do the results indicate a significant difference in the stride length for the two groups? Use a two-tailed test with a = .05.
2. A group of doctors at a specific hospital believes that the normal survival rate for patients with extensive burns will significantly increase with the use of new fluid plasma compresses. Before the new treatment, the survival rate for extensive burn patients at the hospital was about 40%. Using the new compresses, the hospital found that 48 out of 90 patients with extensive burns survived. Does this provide sufficient evidence for the hospital to try to market the new fluid plasma compresses to other hospitals? Answer this question using a = 0.05.
1. A group of investigators wishes to explore the relationship between the use of hair dyes and the development of breast cancer in females. A group of 100 beauticians 40–49 years of age is identified and followed for five years. After five years, 20 new cases of breast cancer have occurred. Assume that breast cancer incidence over this time period for average American women in this age group is 30/100. We wish to test the hypothesis that using hair dyes decrease the risk of breast cancer. Compute p-value the answer is not 0.0021 a) 0 b) 47.6190
Process 1 Process 2 Process 3 60 45 50 58 40 52 55 35 56 62 34 47 68 52 48 52 49 52 64 48 51 66 39 50 One-way ANOVA: Process 1, Process 2, Process 3 Source DF ss MS F P Treatment 2 1282.8 Error 21 578.9 Total 23 1861.7 A health food company wants to determine the best process for blanching dark green vegetable material so it can be added to other food products without losing vitamin A. They are examining three different blanching processes to determine which is best in terms of vitamin A retention (mg/100mg). The data collected and partial ANOVA results appears above. The F-statistic value is F = 27.57. O F = 2.215. O F = 23.267. F = 3.22.
Plant X manufactures 70 percent of a certain company's bicycles, and Plant Y manufactures 30 percent. It has been found that 4 percent of the bicycles manufactured at Plant X and 5 percent of the bicycles manufactured at Plant Y are defective. What percent of the bicycles manufactured by the company are not defective? O 87.2% O 91.3% O 95.5% O 95.7%
1. A researcher would like to compare the acidity level of five brands of yogurt that being sold in the supermarket. This researcher have suspected that different batch also will effect the acidity level of the yogurt. Brand Batch A B E 1 8.04 6.61 11.99 5.78 6.4 2 9.58 6.58 10.66 5.34 7.92 3 7.98 7.98 11.98 4.94 5.32 4 9.74 6.46 9.14 4.12 6.32 Based on the given data, test the hypothesis (at significant level of 0.01) that the acidity level of the yogurt are significantly different between brands. Does the researcher's suspicion are true? If there are differences between the means, conduct a post-hoc test using DMRT. с D
13. According to Wikipedia, as of November 30, 2019, 43.5% of registered voters in Mercer County are registered democrats (pm = 0.435), and 24.5% of registered voters in Hunterdon County are registered democrats (ph = 0.245). A researcher decides to take an SRS of 45 registered voters in Mercer County and an independent SRS of 45 registered voters in Hunterdon County to investigate, and is surprised when he gets a greater sample proportion of registered democrats in the Hunterdon County sample. Calculate and interpret the probability that the sample proportion of registered democrats in Hunterdon County is greater than the sample proportion of registered democrats in Mercer County. Be sure to show all of your work. (Note- - for those of you wondering why the percentages of registered democrats in the "blue" state of New Jersey are so low, many registered voters in New Jersey do not register with any particular political party)
11.8 Fast-food. If you go to the website for any fast-food chain, you can generally find information about the nutritional content of menu items. In February 2019, a sample of 130 menu items was selected from 13 popular fast-food chains, and the amount of carbohydrates (measured in grams) was recorded for each of these items. Figure 11.10 shows the distribution of grams of carbohydrates from the 130 menu items. Describe the shape, center, and variability of this distribution. Are there any outliers? 40 30 20 10 20 40 60 80 100 120 140 Total carbohydrates (in grams) Moore/Notz, Statistics: Concepts and Controversies, 1Oe, © 2020 W. H. Freeman and Company Frequency
5. A pet food company randomly chooses two groups of 20 puppies for a study. One group eats a new brand of dog food and the other group eats an off-brand dog food for a period of 4 weeks. Researchers record muscular and skeletal growth rates in both groups. What type of study is being described?
Refer to Exercise 3. In the last 50 samples, there were a total of 622 defective items. The largest number of defectives in any sample was 24, while the smallest number was 6. Is this enough information to determine whether the process was out of control at any time during the last 50 samples? If so, state whether or not the process was out of control. If not, state what additional information would be required to make the determination.

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