Samples of rainbow trout taken from the Wishkah River were tested for lead and for zinc content, in milligramsper kilogram. Below is a table of the paired data collected from each trout.[Lead Zinc]0.73 45.31.1450.80.6040.21.5964.0Conduct a hypothesis test to determine whether the mean of the difference population is 0 at a significancelevel of a = 0.05. State your conclusion.

In order to conduct a hypothesis test to determine whether the mean of the difference population is…

Answered: Samples of rainbow trout taken from 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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You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 22 20 53 25 19 30 35 23 71 26 36 21 48 25 19 28 Ho: ρ = 0Ha: ρ < 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than αα Less than (or equal to) αα The p-value leads to a decision to Accept Ho Do Not Reject Ho Reject Ho The conclusion is There is a significant linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths.…
14.4 New research suggests that watching television, especially medical shows such as Grey's Anatomy and House, can result in increased concern about personal health (Ye, 2010). Surveys administered to college students measure television viewing habits and health concerns such as fear of developing the diseases and disorders seen on television. For the following data, students are classified into three categories based on their television viewing patterns and health concerns. Do the data indicate any significant differences? Test with a = .05. Little or None Moderate Substantial 4 7 10 2 7 8 6. 7 2 8 9 6. 9. 11
.43 8. The following data were collected in a clinical trial to compare a new drug to a placebo for its effectiveness in lowering total serum cholesterol. 94.4=s Total Sample (n3150) 194.15 (23.2) New Drug Placebo (n=75) 182.0 (24.5) (n=75) 206.3 (21.8) Mean (SD) Total Serum Cholesterol 78.0% 65.0% 71.5% % Patients with Total Cholesterol < 200 (-26.72,-11.88) a) Generate the 95% confidence interval for the difference in mean total cholesterol levels between treatments b) Generate a 95% confidence interval for the difference in proportions of all patients with total cholesterol < 200.
3.18. A manufacturer of television sets is interested in the effect on tube conductivity of four different types of coating for color picture tubes. A completely randomized experiment is conducted and the following conductivity data are obtained: Coating Type 1 234 2 4 143 152 134 129 Conductivity 150 137 132 132 141 149 136 127 146 143 127 129 (a) Is there a difference in conductivity due to coating type? Use a = 0.05. (b) Estimate the overall mean and the treatment effects. (c) Compute a 95 percent confidence interval estimate of the mean of coating type 4. Compute a 99 percent confidence interval estimate of the mean difference between coating types 1 and 4.
14.
A magazine tested paints. The table below shows the overall quality score and cost in dollars per gallon. Use the rank correlation coefficient to test for a correlation between the two variables. Use a significance level of alpha equals 0.05. Based on these results, do you get better quality paint by paying more? a. Calculate the test statistic. r s equals (Round to three decimal places as needed.) b. Find the critical values. r s equals plus or minus (Round to three decimal places as needed.)
4. Answer question 2
A. 2.1
4.2
A correlation study provides the following data: r = -.74 and the study involved 62 participants What is the effect size? NOTE: Please only report the number (and as always, do not Hl markvour ans wer as invalid)
What percentage of scores should fall within ±1 SD for TADHD? Choices: 1. A higher percentage of scores than fell within ±1 SD for ADHD 2. A lower percentage of scores than fell within ±1 SD for ADHD 3. The same percentage of scores that fell within ±1 SD for ADHD What is true of a score of 65.55 for TADHD? Choices: 1. It falls within –1.5 SD of the mean and is thus unlikely to be due to chance 2. It falls within 1.5 SD of the mean and is thus unlikely to be due to chance 3. It falls outside –1.5 SD of the mean but is likely to be due to chance 4. It falls outside 1.5 SD of the mean but is likely to be due to chance

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