The number of fully formed apples on 100 plants were counted withfollowing results:2Plantshadapple%3D%3D1%3D7г аpples11%3D1824%3D%3D127.%3D9.%3D103(i) How many apples were there in all?(i) What was the average number of apples per plant?(ii) · What was the modal number of apples?4 5

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Answered: The number of fully formed apples on…

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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Construct a 99% confidence interval estimate for the population mean given the following values: 37.3, 15.6 and n-49 a. 32.12 << 42.48 O b. 31.56 << 43.04 O c. 33.63 << 40.97 O d. 32.93 << 41.67 In a sample of 86 people, it is found that 33 of them are married. If we compute the proportion of non-married individuals of this sample, we find that it is: Answer: A random sample of size 49 from normal population yields, mean = 42.4 and standard deviation 19.9. The lower bound of a 99 percent confidence interval for population mean is O a. 36.69 O b. 38.70 O c. 37.63 O d. 34.78
1 Find Karl Pearson's coefficient of Skewness from the data: 1, 5, 4, 6, 4, 10
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
1. Calculate the similarity between these 5 observations using the following 2 methods: a. Matching Coefficient Matrix b. Jaccards Coefficient Matrix Breathing Loss of Sore Observations fever cough fatigue headache difficulty taste throat 1 1. 1 1 2 1. 1 3 1 1 1 4 1 1 1 1 5 1. 1. 1. 1
G.324.
Twenty sculptors were asked to produce molds of a model using a different medium for each one. The options are: having the model present at the session, using a photograph and seeing the model, but having to create the sculpture from memory. The sculptor then rated the difficulty of creating each piece of artwork (1=easy; 10 = difficult). The data is provided below: Subject Model Present Photo Memory 1 9 5 5 2 3 9 6 3 6 8 9 4 1 6 10 5 5 7 7 6 9 4 1 7 8 8 10 8 6 9 4 9 8 3 8 10 1 8 10 11 8 5 10 12 8 7 5 13 6 10 3 14 9 2 7 15 5 8 9 16 1 6 8 17 7 4 7 18 10 9 1 19 3 6 10 20 10 10 10 1. Use the data above to conduct a One-Way Repeated Measures ANOVA. The JASP output of all the statistical analyses performed as well as the file that was produced should be provided. 2. Interpret and report on the relevant information presented in the following tables: (i) Descriptive Statistics (ii) Mauchly's test (iii) Test for normality (iv) Pairwise…
4. During a given exercise in class data on the heights of fathers (X) and of sons (Y) was collected. The following results were then obtained: Σχ= 71, ΣΥ = 70, Σ χ2555, Σγ?526 and ΣΧΥ-527 %3D Check for the level of association between the heights of fathers 10 and of 10 sons
review(24): the following table summarizes the outcome of a study that researchers carried out to determine if females are more fearful heights than males.What fraction represents the prioportion of people in this study who expressed fear of heights? Men Women expressed fear of heights 68 109 did not express a fear for heights 94 89
16. Below we have the cell means for an experiment: Factor B B1 B2 Factor A A1 M = 8 М3D14 A2 M = 8 M = 2 a. compute the mean effect means b. is there a main effect of A? c. Is there a main effect of B? d. Is there an interaction effect of AxB?
You work for an insurance company and are studying the relationship between types of crashes and the vehicles involved. As part of your study, you randomly select 3589 vehicle crashes and organize the resulting data as shown in the contigency table. At α=0.10, can you conclude that the type of crash depends on the type of vehicle? Complete parts (a) through (d). Vehicle Type of crash Car Pickup Sport utility Single-vehicle 866 323 340 Multiple-vehicle 1145 487 428 Question content area bottom Part 1 (a) Identify the claim and state the null and alternative hypotheses. H0: The type of crash and the type of vehicle are ▼ independent dependent . Ha: The type of crash and the type of vehicle are ▼ dependent independent . The ▼ alternative hypothesis null hypothesis is the claim.
15 %3D %3D y ) is shown below. 24 21 18 15 12 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2. 4 6. 9 10 -3 -- -12 -15 -18 -21 ÷24 96
Subject Name: Statistical Q: y y ху 120 126 12 10 144 196 121 100 81 225 14 IS 8 165 16 256 64 128 80 72 240 80 16 5 256 25 18 12 20 324 144 400 4 16 20 400 4 16 10 16 100 256 225 160 12 15 144 180 Ex 141 Ey 106 Ex=2085 Ey' 1408 Exy 1351 a- Calculate the coefficient of determination for the results given in Table b- explain meaning of result goted in a

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