This was answered already. but i need to know what are the hypothesis and the conclusion for this.I am just starting about this topic. Thank you again! The recommended daily dietary allowance for zincamong males older than age 50 years is 15 mg/day. Thearticle "Nutrient Intakes and Dietary Patterns ofOlder Americans: A National Study" (J. ofGerontology, 1992: M145–150) reports the followingsummary data on intake for a sample of males age 65–7411.3, and s =years: n115, х6.43. Does this dataindicate that average daily zinc intake in the populationof all males ages 65–74 falls below the recommendedallowance?

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The recommended daily dietary allowance for zine among males older than age 50 years is 15 mg/day. The article "Nutrient Intakes and Dietary Patterns o Older Americans: A National Study" (J. 0 Gerontology 1002. M145 -150) reports the followin

The recommended daily dietary allowance for zine among males older than age 50 years is 15 mg/day. The article "Nutrient Intakes and Dietary Patterns o Older Americans: A National Study" (J. 0 Gerontology 1002. M145 -150) reports the followin

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section: Chapter Questions

Problem 8SGR

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Please please help me fill out the table!! not just the p-value!
please give me answer in relatable
Exercise 2. A study is designed to test whether there is a difference in mean daily calcium intake in adults with normal bone density and adults with osteoporosis. Adults 60 years of age with normal bone density and osteoporosis are selected at random from hospital records and invited to participate in the study. Each participant's daily calcium intake (mg) is measured based on reported food intake and supplements. The data are shown below. Normal Bone Density: 1200 1000 980 900 750 800 Osteoporosis: 890 650 1100 900 400 350 480 Do these data give statistical evidence of differences in mean calcium intake across the two groups? That is, do these data give statistical evidence that the process means, say mean(Y:RE,) and mean(Y:RE2) are different? Here, Y = daily calcium intake (mg), RE, = "Nature generates a 60-year-old with normal bone density" and RE2 ="Nature generates a 60-year-old with osteoporosis." (a) Carefully describe the target of inference. Hint: This will be a difference bw…
A study is performed to assess the prevalence of use of anti-hypertensive medication (MEDS) in the non-institutionalized U.S. population. The following data are reported for MEDS status of the U.S. population by age-sex group: Table 1 Estimated MEDS Status of the U.S. Population by age and sex group, NHANES study 1999-2018 Males Females Age Group MEDS = yes Na Age Group MEDS = yes Na 18-29 160,617 23,069,867 18-29 168,940 22,132,949 30-39 899,152 18,690,754 30-39 759,532 18,937,878 40-49 2,264,304 18,316,125 40-49 2,257,203 18,816,304 50-59 3,215,688 15,022,905 50-59 4,059,363 15,997,653 60-69 2,936,183 8,400,156 60-69 4,260,975 10,993,805 70-79 1,677,664 4,012,930 70-79 2,953,646 6,012,728 aN = total sample size in specific age-sex groups. a. What is the prevalence of use of MEDS in 40-49 year-old females? b. Suppose a married couple consists…
Please answer all sub-parts A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: Age (Yrs) HDL (?μmol/L) 38 57 42 54 46 34 32 56 55 35 52 40 61 42 61 38 26 47 a) Compute the regression equation for HDL as a function of age. b)Interpret the meaning of the regression parameters. c) Compute r and r2. Interpret these statistics. d) What is your opinion of the usefulness of using age as a predictor of HDL?
Please use the accompanying Excel data set or accompanying Text file data set when completing the following exercise. An article in the Australian Journal of Agricultural Research, "Non-Starch Polysaccharides and Broiler Performance on Diets Containing Soyabean Meal as the Sole Protein Concentrate" (1993, Vol. 44, No. 8, pp. 1483-1499) determined the essential amino acid (Lysine) composition level of soybean meals are as shown below (g/kg): 22.2 24.7 20.9 26.0 27.0 24.8 26.5 23.8 25.6 23.9 Round your answers to 2 decimal places. (a) Construct a 90% two-sided confidence interval for a sa's (b) Calculate a 90% lower confidence bound for a So² (c) Calculate a 95% lower confidence bound for a.. So Statistical Tables and Charts
A local company of sales professionals in Abu Dhabi conducted a survey of its employees to study the relationship, if any, between the years of experience and salary for individuals employed inside and outside sales positions. On the survey, respondents were asked to specify one of three levels of years of experience: low (1-10 years), medium (11-20 years), and high (21 or more years). The complete data set, consisting of 133 observations Is the salesperson position dependent (related to) on the salesperson experience? Use a 0.05 level of significance- by using chi-square test give recommendations for the company of sales professionals in Abu Dhabi to be better easy to answer it plz Observation Salary (AED) Position Experience 1 173154 Inside Low 2 145863 Inside Low 3 166896 Inside Low 4 155844 Inside Low 5 160392 Inside Low 6 158499 Inside Low 7 167877 Inside Low 8 191397 Inside Low 9 162366 Inside Low 10 176442 Inside Low 11 177828 Inside Low 12…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…
The following is data about the hemoglobin concentrations of volunteers collected at sea level and at an altitude of 11000 feet. sea level concentrations = [14.70 , 15.22, 15.28, 16.58, 15.10 , 15.66, 15.91, 14.41, 14.73, 15.09, 15.62, 14.92]11000 feet concentrations = [14.81, 15.68, 15.57, 16.59, 15.21, 15.69, 16.16, 14.68, 15.09, 15.30 , 16.15, 14.76] There are two alternative scenarios about the way the data were obtained. In scenario 1, there are 12 volunteers who lived for a month at sea level, at which time blood was drawn and the data in "sea level concentrations" dataset were obtained. Subsequently, all 12 volunteers were moved to 11000 ft and after a month the data in the "11000 feet concentrations" dataset obtained. There is a one to one correspondence between the numbers in the two datasets, that is the first numbers correspond to volunteer1, the second numbers to volunteer2 etc. In scenario 2, the "sea level concentrations" dataset is a random sample obtained from 12…