Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to four decimalplaces.)P-value=State the conclusion in the problem context.O Reject the null hypothesis. There is not sufficient evidence that average daily zinc intake falls below 15 mg/dayO Do not reject the null hypothesis. There is sufficient evidence that average daily zinc intake falls below 15 mg/dayO Reject the null hypothesis. There is sufficient elsdence that average daily zinc intake falls below 15 mg/dayO Do not reject the null hypothesis. There is not sufficient evidence that average daily zinc intake falls below 15 mg/day. The recommended daily dietary allowance for zinc among males older than age 50 years is 15 mg/day. An article reports the followingsummary data on intake for a sample of males age 65-74 years: n-118, x- 12.2, and s-6.96, Does this data indicate that averagedaily zinc intake in the population of all males age 65-74 falls below the recommended allowance? (Use a -0.05.)State the appropriate null and alternative hypotheses,ⒸHR=15OH₂ = 15H₂p=15H₂ <15ⒸH-15H₁ s 15Calculate the test statistic and determine the P-valde (Round your test statistic to two decimal places and your P-value to four decimal

The mean significance between the sample and population tested using hypothesis testing. If the…

Answered: The recommended daily dietary allowance…

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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Assume that the following data came from a case-control study. CasesControlsExposed4050Unexposed60150Based on this table, what proportion of exposed cases would have been eliminated if the cases had not been exposed (assuming that the exposure does contribute to the disease). 50% 100% 0% 33.3%.
Consider a production process that produces batteries. A quality engineer has taken 28 samples each containing 137 batteries. The total number of defective batteries observed over the 28 samples is 396. The upper control minit (UCL) for the control chart constructed using 2 sigma is (write your answer with 5 digits after decimal point, e.g. 0.01234). Your Answer: Answer
The data is presented in parallel format. Before running the ANOVA in Excel, you will need to put it into serial (column) format. You will need to create a categorical variable for the first factor (days) and for the second factor (time of day). This is a critical step.The data presented shows exam scores for students randomly assigned to the sections meeting on these days at these times of the day: Thursday Friday Morning Afternoon Morning Afternoon 70.878.15978.246.646.476.559.376.370 65.678.359.359.778.680.892.780.865.392.3 90.890.569.177.36977.558.677.877.558.6 63.372.854.254.472.166.26372.56672.2 Conduct a 2-way ANOVA. First, find the group means for each level of the factors. (Report answers accurate to 2 decimal places.)Days: MThursday=MThursday= MFriday=MFriday= Time of day: Mmorning=Mmorning= Mafternoon=Mafternoon= Report the results of the ANOVA for the main & interaction effects. (Report P-values accurate to 4 decimal places and…
3) Two hundred hypertensive patients are assigned to a diet program. Blood pressure is measured on each patient both before the program starts and 3 months after the start of the program. The correct statistical procedure to determine whether or not the mean blood pressure change (after-before) changed significantly different in the patients is: a. Paired t-test b. 2 sample unpaired t-test c. Fisher's exact test (an exact version of the chi-squared test for 2x2 contingency tables) d. None of the above
What does tobs = 3.47 mean? What does tcrit = 3.47 mean?
A hypertensions trial is mounted and 12 participants are randomly assigned to receive either a new medication or a placebo. Each participant takes assigned medication and their systolic blood pressure (SBP) is recorded after 6 months on the assigned medication the data are shown in table 7-9 is there a difference in the mean SBP between treatment? Run the appropriate test at a =0.05
Consider the following measurements of blood hemoglobin concentrations (in g/dL) from three human populations at different geographic locations: population1 = [ 14.7 , 15.22, 15.28, 16.58, 15.10 ] population2 = [ 15.66, 15.91, 14.41, 14.73, 15.09] population3 = [ 17.12, 16.42, 16.43, 17.33] Perform ANOVA to check if any of these populations have different mean hemoglobin concentrations. (Assume that all the ANOVA requirements such as normality, equal variances and random samples are met.) After you perform ANOVA perform a Tukey-Kramer post-hoc test at a significance level of 0.05 to see which populations actually have different means. As usual, round all answers to two digits after the decimal point. (Make sure you round off to at least three digits any intermediate results in order to obtain the required precision of the final answers.) For any questions, which ask about differences in means or test statistics, which depend on differences in means provide absolute values. In…
Answer the questions below for the data taken from the Top 15 COVID 19 Confirmedcases by County – 9/20/20. (Source: Johns Hopkins Universityhttps://coronavirus.jhu.edu/us-map)Show your methods very clearly and completely. A. Which county is closest to the mean. What is that mean?B. Which county is closest to the median. What is that median?C. What percentile is Bronx county?D. What county is at the 80th percentile? 260,797 Los Angeles52,063 Orange64,160 Clark139,088 Cook77,889 Dallas123,817 Harris56,681 Riverside75,682 Broward52,598 Bronx166,881 Miami-Dade52,471 San Bernardino139,856 Maricopa70,893 Queens65,848 Kings53,341 Bexar
9.15 HPV infections in women. Human papillomavirus (HPV) infection is the most common sexually transmitted infection. Certain types of HPV can cause genital warts in both men and women and cervical cancer in women. The U.S. National Health and Nutrition Examination Survey (NHANES) contacted a representative sample of 1921 women between the ages of 14 and 59 years and asked them to provide a self-collected vaginal swab specimen. Of these specimens, 515 tested positive for HPV, indicating a current HPV infection. a. Give the probability, risk, and odds that a randomly selected American woman between the ages of 14 and 59 years has a current HPV infection. b. The survey broke down the data by age group: Age group (years) 14–19 20-24 25–29 30–39 40-49 50–59 Percent HPV positive 24.5 44.8 27.4 27.5 25.2 19.6 Give the risk and the odds of being HPV positive for women in each age group. Which age group has the highest risk, and has the highest odds, of testing positive for HPV?
A particular paper included the accompanying data on the tar level of cigarettes smoked for a sample of male smokers who subsequently died of lung cancer. Assume it is reasonable to regard the sample as representative of male smokers who die of lung cancer. Is there convincing evidence that the proportion of male smoker lung cancer deaths is not the same for the four given tar level categories at the ? = .05 level? (Use 2 decimal places.) Tar Level Frequency 0-7 129 8-14 324 15-21 543 22 153 ?2 = P-value interval p < 0.0010.001 ≤ p < 0.01 0.01 ≤ p < 0.05 0.05 ≤ p < 0.10 p ≥ 0.10
4. 0 There is some indication that as countries' levels of literacy increases, authoritarian tendencies decline among the population. The following data show literacy (measured in number of literate people per 10 people) and authoritarian scores on a standard authoritarinaism- measuring scale from 8 countries. The data are: Xiiteracy : 9.2, 7.5, 8.8, 6.5, 4.3, 5.9, 9.7, 8.5 XAuth: 2.1, 3.4, 2.5, 7.3, 8.9, 5.7, 1.3, 2.5 Is there a reliable relationship between the two variables? If yes, what would the predicted authoritarian score of a country where only quarter of the country is literate? What about for a country where the literacy rate is %100? Use alpha = .05.
The following equation was estimated by OLS: Unipa = 1.392 - 0.0135 psperc + 0..00148 sat n = 4,137, R2 = 0.273 Where unipa is measured on a four-point scale, psperc is the percentile in the post- sixteen class (defined so that, for example, psperc =5 means the top 5% of the class), and sat is the combined maths and verbal scores on the student achievement test.

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