Evaluation:Distinguish the parameter and statistic in the given statements. Encircle the parameter and underlinethe statistic.1.A researcher wants to know the average weight of females aged 22 years or older in Sorsogon. Theresearcher obtains the average weight of 54 kg, from a random sample of 40 females.2.A researcher wants to estimate the average amount of water consumed by male teenagers in a day.From a simple random sample of 55 male teens the researcher obtains an average of 1.5 litres of water.

A statistical measure based on population values is called a Parameter, e.g. population mean,…

Answered: Evaluation: Distinguish the parameter…

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 show the distance (in miles) from an airport of a sample of 22 inbound and outbound airplanes. Use technology to answer parts (a) and (b). a. Find the data set's first, second, and third quartiles. b. Draw a box-and-whisker plot that represents the data set. 4.6 3.1 5.9 5.7 2.9 4.4 5.1 3.2 2.5 4.1 3.6 1.9 4.8 3.9 4.8 4.5 4.2 3.9 2.6 5.6 3.2 5.1 a. Find the three quartiles. Q, = 3.2 Q, = 4.15 Q3 = 4.8 (Type integers or decimals. Do not round.) b. Choose the correct box-and-whisker plot below. A. OB. Oc. HD
Eyeglassomatic manufactures eyeglasses for different retailers. They test to see how many defective lenses they made the time period of January 1 to March 31. The table gives the defect and the number of defects. Do the data support the notion that each defect type occurs in the same proportion? Test at the 5% level. Number of Defective Lenses Defect type Number of defects Scratch 1866 Right shaped - small 1935 Flaked 1979 Wrong axis 1921 Chamfer wrong 1864 Crazing, cracks 1991 Wrong shape 2004 Wrong PD 1895 Spots and bubbles 1917 Wrong height 1885 Right shape - big 1875 Lost in lab 1886 Spots/bubble - intern 1935 State the hypotheses.H0: Each defect type in the same proportion.Ha: Each defect type in the same proportion. Calculate the χ2 test statistic. Round expected values to two decimal places. Round χ2 to three decimal places.χ2 = Calculate the p-value. Round to four decimal places.p-value = State your decision.Since p-value 0.05,…
The following set of data represents the number of orders filled by a national-chain restaurant during a two week period. Construct a five number summary for the the data. 66, 75, 68, 89, 86, 73, 67, 75, 75, 82, 85, 74, 67, 61 (Round to the nearest hundredth, if needed). Min _________________ Lower Quartile _________________ Median __________________ Upper Quartile _________________ Maximum __________________ What is the range and the interquartile range (IQR)? Range __________________ Interquartile Range (IQR) ___________________
Direction: Solve the given problems completely and correctly. 1. A population consists of the three numbers 1, 2, and 4. List all the possible samples of size n =2 whicE can be drawn with replacement from the population. Find the following: a Population mean b. Population variance C. Population standard deviation. d. Mean of the sampling distribution of sample means e. Variance of the sampling distribution of sample means f Standard deviation of the sampling distribution of sample means
Construct a stem-and-leaf display of the data. What appears to be a representative strength value? Do the observations appear to be highly concentrated about the representative value or rather spread out? b. Does the display appear to be reasonably symmetric about a representative value, or would you describe its shape in some other way? c. Do there appear to be any outlying strength values? d. What proportion of strength observations in this sample exceed 10 MPa? The strength data for beams is attached
What is one indication that there are paired samples in a data set? Choose the correct answer below. O A. Knowing the value that a subject has in one group gives one no information about the value in the second group. OB. Each observation in one group is coupled with one particular observation in the other group. OC. The researcher is comparing two populations. O D. The researcher is working with two distinct groups in the data set.
Find the weighted estimate, p to test the claim that p, = p2. Use a = 0.05. The sample statistics listed below are from independent samples. n, = 50, x, = 35, and = 60, x, = 40 O A. 0.682 O B. 0.238 C. 1.367 D. 0.328
INSTRUCTION: Perform an appropriate statistical test using the dataset (Sheet name: Raw Data) if a researcher would like to determine if there is a significant difference in the "Serum Creatinine (SCr)" between ages "Under 60" and "60 and Above"? Dataset for this can be retrieved on the given Excel. 1. What is the computed p-value for the given data on the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? Round it off to two decimal places. Then, answer (YES or NO) if there is a significant difference in the Serum Creatinine (SCr) between "Under 60" and "60 and Above"? 2. What is the computed Mean of "Under 60" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places. 3. What is the computed Standard Error of "60 and Above" on the given data for Serum Creatinine (SCr)? Round it off to two decimal places.
If other factors are held constant, which set of data is most likely to produce a significant value for the repeated-measures t statistic? Group of answer choices n = 15 and SS = 10 for the difference scores. n = 15 and SS = 100 for the difference scores. n = 30 and SS = 10 for the difference scores. n = 30 and SS = 100 for the difference scores.
1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
The data show the distance (in miles) from an airport of a sample of 22 inbound and outbound airplanes. Use technology to answer parts (a) and (b). a. Find the data set's first, second, and third quartiles. b. Draw a box-and-whisker plot that represents the data set. 3.3 4.7 3.3 2.5 5.3 5.6 3.6 5.3 3.5 4.4 4.5 4.7 5.7 3.9 4.2 4.8 3.4 5.4 3.2 3.2 5.8 4.8 a. Find the three quartiles. Q1 Q₂ Q3 (Type integers or decimals. Do not round.) b. Choose the correct box-and-whisker plot below. OA. 0 6 Q B. 3 S Q 5 OC. 3 6 9 Q N
Listed below are the numbers of hurricanes that occurred in each year in a certain region. The data are listed in order by year. Find the range, variance, and standard deviation for the given sample data. Include appropriate units in the results. What important feature of the data is not revealed by any of the measures of variation? 9 12 20 12 The range of the sample data is (Round to one decimal place as needed.) The standard deviation of the sample data is (Round to one decimal place as needed.) The variance of the sample data is (Round to one decimal place as needed.) 5 9 16 3 What impactant fasturn of the data is not enunaled through the different m 5 16 variation 4 11 16 12 D

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