MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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A study is done to determine which of two soft drinks has more sugar. There are 13 cans of Beverage A in a sample and six cans of Beverage B. The
What is the p-value? Round to 4 decimal places.
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- Kala recently switched her primary doctor to one specializing in caring for elderly patients. On her new doctor's website, it says that the mean systolic blood pressure among elderly females is 115 millimeters of mercury (mmHg). Kala believes the value is actually higher. She bases her belief on a recently reported study of 21 randomly selected, elderly females. The sample mean systolic blood pressure was 124 mmHg, and the sample standard deviation was 20 mmHg. E Assume that the systolic blood pressures of elderly females are approximately normally distributed. Based on the study, at the 0.10 level of significance, can it be concluded that μ, the population mean systolic blood pressure among elderly females, is greater than 115 mmHg? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) D (a) State the null hypothesis H, and the alternative hypothesis H₁ LL O P Р H:0…arrow_forwardKira recently switched her primary doctor to one specializing in caring for elderly patients. On her new doctor's website, it says that the mean systolic blood pressure among elderly females is 120 millimeters of mercury (mmHg). Kira believes the value is actually higher. She bases her belief on a recently reported study of 11 randomly selected, elderly females. The sample mean systolic blood pressure was 124mmHg, and the sample standard deviation was 24mmHg . Assume that the systolic blood pressures of elderly females are approximately normally distributed. Based on the study, at the 0.10 level of significance, can it be concluded that μ , the population mean systolic blood pressure among elderly females, is greater than 120 mmHg ? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.) (a) State the null hypothesis H0 and the…arrow_forwardImagine that every elementary school in California is measured on several characteristics and then given an overall Quality Score. In Los Angeles Unified School District, the schools have an average (mean) quality score of 101.8 with a standard deviation of 7.2. One school in Los Angeles, Carver Elementary, gets a quality score of 104.5. In San Francisco Unified School District, the schools have an average (mean) quality score of 102.3 with a standard deviation of 9.4. One school in San Francisco, Bryant Elementary, gets a quality score of 99.5. Find the Z-scores for both of these two schools (Carver Elementary in Los Angeles, and Bryant Elementary in San Francisco)arrow_forward
- Three high school basketball teams measured the heights of all of their basketball players: The Derby Dragons have a mean height of 72.0 inches and a standard deviation of 1.2. The Aviston Aces have a mean height of 70.8 inches and a standard deviation of 0.7. The Ballwin Bears have a mean height of 73 inches and a standard deviation of 1.0. On average, which team is a taller? Which team has players whose heights are more consistent?arrow_forwardThe mean home sales price can vary greatly depending on location. A random sample of 10 single-family homes in Riverside had a mean sales price of $300 per square foot with a standard deviation of $66 per square foot. A random sample of 16 single-family homes in Corona had a mean sales price of $320 per square foot with a standard deviation of $75 square foot. Does the data provide sufficient evidence to indicate a difference in the home sales prices between Riverside and Corona? Use the critical value approach at the 5% level of significance.arrow_forwardA college administrator wants to see if students in different majors tend to have differing amounts of study time. The administrator collects the following data from 15 students in Sociology, 10 students in Engineering, and 12 students in History. The Sociology majors report an average of 10 hours studies per week and a standard deviation of 3 hours. The Engineering students report an average of 15 hours per week with a standard deviation of 7 hours. The History majors report an average of 12 hours studied and a standard deviation of 4 hours. The data can be summarized as follows: Major n Mean Study Hours Standard deviation Sociology 15 10 hours 3 hours Engineering 10 15 hours 7 hours History 12 12 hours 4 hours Does this data provide evidence for the notion that students in different majors study different amounts? Use α = .05arrow_forward
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