A study conducted at the University of Denver investigated whether babies take longer to learn to crawlin cold months, when they are often bundled in clothes that restrict their movement, than in warmermonths. Infants born during the study year were split into twelve groups, one for each birth month. Weconsider the average crawling age of babies in each group against the average temperature when thebabies are six months old (that's when babies often begin trying to crawl). Temperature is measured indegrees Fahrenheit and age is measured in weeks.3433323130-293040506070Temperature (F)a) Describe the relationship between temperature and crawling age. Choose all answers that apply.There is strong, negative, linear relationship between termperature and crawling agenThere is a somewhat moderate, negative, linear relationship between temperature and crawlingagenThere is a moderate, positive, linear relationship between the temperature and crawling ageThe point at the bottom should be taken under considerationb) How would the relationship change if temperature was measured in degrees Celsius and age wasmeasured in months?O The correlation coefficient between the two variables would be largerO Changing the units will not change the form, direction or strength of the relationship between thetwo variablesThe correlation coefficient between the two variables would be smallerc) The correlation between temperature in degrees F and age in weeks was r =the temperature to degrees C and age to months, what would the correlation be?0.7. If we convertedAvg. crawling age (weeks)

Given that, Let 'X' be the random variable represents the Crawling Age (in weeks) Let 'Y' be the…

Answered: in cold months, when they are often…

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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The data in the table below consist of measurements y₁, y2, y3, and yn of the ramus bone at four different ages on each of 20 boys. 1. Find y. 2. Find Sn 3. Find R Ramus Bone Length at Four Different Ages for 20 Boys. Age Individual 1 23 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 8 yr (yi) 47.8 46.4 46.3 45.1 47.6 52.5 51.2 49.8 48.1 45 51.2 48.5 52.1 48.2 49.6 50.7 47.2 53.3 46.2 46.3 8½ yr (Y2) 48.8 47.3 46.8 45.3 48.5 53.2 53 50 50.8 47 51.4 49.2 52.8 48.9 50.4 51.7 47.7 54.6 47.5 47.6 9 yr (Y3) 49 47.7 47.8 46.1 48.9 53.3 54.3 50.3 52.3 47.3 51.6 53 53.7 49.3 51.2 52.7 48.4 55.1 48.1 51.3 9½ yr (Y4) 49.7 48.4 48.5 47,2 49.3 53.7 54.5 52.7 54.4 48.3 51.9 55.5 55 49.8 51.8 53.3 49.5 55.3 48.4 51.8
10) A child lives in a tall apartment building with windows that open on each floor facing the street. The child enjoys opening windows from varying heights and spitting on people as they walk below. They spit ten times from each height and record how often they hit their target. Assume there is no wind, everyone walks at the same uniform pace, etc. Their data is recorded in the table below. Approximate height above ground in meters # of hits 5 9 13 17 21 25 29 33 41 9 8. 7 6 7 4 2 2 One floor in their apartment was closed (the one at approximately 37 meters above ground), so they were not able to collect data there. Use an appropriate line of best fit to approximate how many successful hits they would have from 37 meters above ground.
Three different corrosion-resistant coatings are being considered for use on iron pipes. Ten pieces of pipe are marked off in six equal segments. For each pipe, two segments received coating A, two received coating B, and the remaining two received coating C. The pipes were placed in a corrosive environment for a period of time; then the depth of the deepest pit (in mm) caused by corrosion was measured for each segment on each pipe. The effect of interest is the coating; the pipe is a blocking factor, and there were two replications on each pipe. The following sums of squares were calculated: sum of squares for blocks = 11.2, sum of squares for treatments = 4.8, sum of squares for interactions = 18.4, total sum of squares = 44.7. a) Construct an ANOVA table. You may give ranges for the P-values. b) Are the assumptions for a randomized complete block design satisfied? Explain. c) Does the ANOVA table provide evidence that mean pit depth differs among coatings? Explain.
The quality control engineer at Palmer Industries is interested in estimating the tensile strength of steel wire based on its outside diameter and the amount of molybdenum in the steel. As an experiment, she selected 25 pieces of wire, measured the outside diameters, and determined the molybdenum content. Then she measured the tensile strength of each piece. The results of the first four are recorded in the table. Tensile Strength Outside Diameter Amount of Molybdenum Place (PSI ) Y (mm) X1 (Units) X2 A 11 0.3 6 B 9 0.2 5 C 16 0.4 8 D 12 0.3 7 Using a statistical software package, the QC engineer determined the multiple regression equation to be Y’=-0.5+20X1+1X2. a) Based on the equation, what is the estimated tensile strength of a steel wire having an outside diameter of .35 mm and 6.4 units of molybdenum? b) Interpret the value of b1 in the equation.
Hypothesis Testing (One-Sample) Sample Size Sample Mean Population Std Dev (Given in the problem) Hypothesized Value Level of significance Standard Error Test Statistic p-value (lower-tail) p-value (upper-tail) p-value (two-tail) Critical Value (lower-tail) Critical Value upper-tail) Critical Value (two-tail) Use absolute value if test stat is positive N Dist (Summary Statistic) 50 297.6 12 295 0.05 1.697056275 1.532064693 0.937246764 0.062753236 0.125506471 Numbers in this column are examples from the slides -1.644853627 1.644853627 -1.959963985 N Dist (Raw Data) 8 6.25 2.915475947 6 0.05 1.030776406 0.242535625 0.595817422 0.404182578 0.808365156 -1.644853627 1.644853627 -1.959963985 NewBalance 1 5 6 7 8 4 9 10
Low=? High=?
Insert Draw Layout Review View B IU ab e A- A AClear Formatting 三三 Sensitivity 11 In 2014, Colorado was found to have a population of 5,355,866 and a land area of 103,642 square miles. Oklahoma has a land area of 68,594 square miles. Oklahoma's population density is known to be close to Colorado's. Use this information to estimate Oklahoma's population.
Help on all the parts including 2 cuz idk if it's correct
lili .... OFF References Mailings Review View >> Tell me Sh Draw Design Layout 12 AA Aa v ibri (Bo... 三三三三E Styles Dictate Create x A - 130 adults with gum disease were asked the number of times per week they used to floss before their diagnoses. The (incomplete) results are shown below: # of times floss per week Frequency Relative Frequency Cumulative Frequency 15 0.1154 33 1. 0.1385 51 2. 81 0.0769 3. 15 0.1154 4. 17 0.1308 93 5. 0.1538 113 6. 0.1308 130 7. a. Complete the table (Use 4 decimal places when applicable) b. What is the cumulative relative frequency for flossing 3 times per week? % English (United States) spioM 06 Focus JAN 13
A mixture of sucrose and water was heated on a hot plate, and the temperature (in "C) was recorded each minute for 20 minutes by three thermocouples. The results are shown in the following table. Time I1 Iz I3 20 18 21 18 22 11 29 32 37 36 10 64 11 72 12 79 80 13 84 74 75 14 82 87 78 15 87 93 88 16 98 90 91 17 103 100 103 18 101 98 109 19 103 103 107 20 102 103 104 Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. a. b. Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. Compute the least-squares line for estimating the temperature as a function of time, using T, as the value for temperature. C. It is desired to compute a single line to estimate temperature as a function of time. One person suggests averaging the three slope estimates to obtain a single slope estimate, and averaging the three intercept estimates to obtain a single intercept…
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Radon is a gas emitted from the ground that can collect in houses in buildings. At certain levels it can cause lung cancer. Radon concentrations are measured in picocuries per liter (pCi/L). A radon level of 4 pCi/L is considered “acceptable” Radon levels in a house vary from week to week. In one house, a sample of 6 weeks had the following readings for radon level (in pCi/L): 1.9 2.8 3.9 3.9 4.2 5.7 Find the variance and standard deviation (definitional formula). Show your work using a table.

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