22. Hemoglobin in Cats The following data represent thehemoglobin (in g/dL) for 20 randomly selected cats.5.78.911.77.79.412.97.89.513.08.79.613.4Source: Joliet Junior College Veterinarian Technology Program.9.69.910.010.310.610.711.011.2(a) Compute the z-score corresponding to the hemoglobinBlackie, 7.8 g/dL. Interpret this result.(b) Determine the quartiles.(c) Compute and interpret the interquartile range, IQR.(d) Determine the lower and upper fences. Are there anyoutliers?

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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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9. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Standard Deviation & the Empirical Rule: Variation is a big factor in the analysis of most any data set and it will be very important to have a way of measuring it. Standard Deviation is one such measure. Find the Standard Deviation of the data. You can use the stdev or stdev.s functions in Excel. A bell-shaped…
There is a strong relationship between heterosexual couples attractiveness scores. Therefore, a researcher wanted to determine if husbands attractiveness score may be predicted from their counterparts’ scores. Below are couples attractiveness ratings. Observation Wife (X) Husband (Y) 1 11 14 2 6 7 3 16 15 4 4 7 5 1 3 6 10 9 7 5 9 8 3 8 Complete the following ANOVA table Source SS DF MS F SSreg SSres SStotal
1.16 Income and education in US counties: The scatterplot below shows the relationship between per capita income (in thousands of dollars) and percent of population with a bachelor's degree in 3,143 counties in the US in 2010. Per capita income (in $1,000) 60- 40 20 10 30 Percent with Bachelor's degree a) What is the explanatory variable? Percent with a Bachelor's Degree Per Capita Income (in $1000s) b) What is the response variable? Per Capita Income (in $1000s) Percent with a Bachelor's Degree 50 c) Describe the relationship between the variables. no relationship weak negative strong negative weak positive strong positive 70
6
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = Find the interquartile range for this data set. IQR = = Find the lower fence separating outliers from usual values. Fence Low Find the upper fence separating outliers from usual values. Fence high
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation.
X, absences Y, final grade 4. The data below are the number of absences, x, and the final grades, y, of 9 randomly selected students from a MTH 119 class. Construct a scatterplot of the data. 0 99 4 58 7 51 5 82 9 71 geyerinstructional.com 3 92 16 55 1 5 76 5 82
10. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey cims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 How might standard deviation and the shape of the distribution indicate how consistent Hershey® is in the manufacturing of their Kisses®?
Consider the data set below. 1.6 1.8 2.3 2.3 2.3 2.5 2.1 2.4 2.2 2.5 2.3 2.5 2.6 2.6 2.6 2.9 3.0 2.7 3.1 3.5 3.3 3.5 3.2 4.0 3.9 3.9 4.4 4.1 4.2 4.9 4.8 4.8 4.9 5.4 5.1 5.5 6.0 6.0 5.6 6.0 5.9 5,8 5.7 5.6 5.6 5.8 6.4 6.5 6.4 6.2 A relative frequency distribution of the data is given below. 0.2 0.1 1.6 2.1 2.6 3.13.6 414.6 5.1.5,6 6.1 6.6 What fraction of the measurements are less than 5.17 (Enter your answer as a fraction.) Relative Frequency
The two, box and whisker diagrams below show the percentage marks obtained by two Grade 12 classes. Each class has 26 learners. Class A Class B O 10 20 30 40 50 60 70 80 90 100 The percentage marks for Class A, arranged in order, are given below: F: 58 60 62 62 63 65 65 66 66 66 66 67 69 70 71 73 73 90 [SASAMS database] 75 75 75 H 80 83 85 NOTE: Fis the lowest percentage mark H is a percentage mark between 75 and 80
Give the statistical meaning of the relationship between the spending hours on using mobile andreading books per day.
Do question i and ii only.

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