Is there a relation between gender and age? "Output3 [Document3) - IBM SPSS Statistics ViewerElle Edit View Data Iransform Insert Format Analyze Graphs Utilities Extensions WindowOutputLogCrosstabsTeNotesCase ProcessingGender * Age in YChi-Square Tests/COUNT ROUND CELL.CrosstabsGender * Age in YearsCountGender MaleTotalFemalePearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationCase Processing SummaryCasesMissingN16.00101Valid20Percent100.0%17.00Value1.867Chi-Square Tests2.26736820123Gender * Age in Years CrosstabulationdfN18.006610325Percent0.0%Age in Years19.00N of Valid Casesa. 14 cells (100.0%) have expected countless than 5. Theminimum expected count is.50.112AsymptoticSignificance(2-sided)N93289454420.00Help224Total20Percent100.0%21.0011222.00123Total101020

From the output, the Pearson Chi-square value is 1.867. The p-value (asymptotic significance value)…

Answered: Is there a relation between gender and…

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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anna wants to investigate whether there is a relation between the hair- and eye-color of the residents of san pablo. He recorded the hair- and eye-color of 84 residents in san pablo, the results are shown in table 1. Next to it table 2 is shown and a large part of table 3 is shown below, but one value is missing. anna wants to conduct a chi-squared test for contingency tables in order to test his theory. Which of the following claims is correct? Please explain Brown Blue Gray Green Brown Blue Gray Green Black 3 1 Black 5.54 5.36 2.50 1.61 Brown 17 8 4 Brownt 14.02 13.57 6.33 4.07 Red 4 2 Red 3.69 3.57 1.67 1.07 Blonde 1 16 Blonde 7.75 7.50 3.50 2.25 Tafla 1: Observed frequency Tafla 2: Expected frequency Brown Blue Gray Green Black 2.17 1.04 0.10 0.23 Brownt 0.6 0.44 0.00 Red 0.03 0.69 0.07 0.80 Blonde 9.63 0.64 0.03 Tafla 3: Contribution to test statistic 1. anna rejects the null hypothesis and claims that there is a relationship between hair- and eye color of the residents of san…
There is a correlation between ice cream sales and crime rates. What can we conclude from this? A) Ice cream leads to more criminality B) Committing a crime makes an individual want ice cream C) Criminality is a sufficient, but not necessary, condition for ice cream sales D) There is likely a spurious relationship between ice cream sales and crime rate
A researcher hypothesized that an increase in stress at work was caused by an increase in consumption of alcohol. Further research found that increased consumption of alcohol was caused by increased work stress. This is an example of O al a reverse cause-and-effect relationship a presumed cause-and-effect relationship an accidental cause-and-effect c) relationship d) a cause-and-effect relationship O b)
If observations are independent, that means that one observation has influenced another. True False
OA. The scatterplot indicates there is a negative, strong, linear relationship between Median Salary and Annual Sales. OB. The scatterplot indicates there is a negative, weak, linear relationship between Median Salary and Annual Sales. OC. The scatterplot indicates there is a positive, strong, linear relationship between Median Salary and Annual Sales. OD. The scatterplot indicates there is a positive, weak, linear relationship between Median Salary and Annual Sales. OE. The scatterplot indicates there is no relationship between Median Salary and Annual Sales.
6. Which of these relationships would be better described with a Spearman's rank coefficient than with a Pearson's coefficient? a. The association between income and educational attainment (measured in years of school) b. The association between hours of sleep and score on an exam C. The association between years aged and price of wine d. The association between ice cream sales and crime rates e. The association between number on NY Times Best Seller List and copies of book sold
6. data are those that can be counted and assume only a countable number of values. A. Continuous C. Qualitative B. Variable D. Discrete
A random sample of 20 adults in a particular country were asked to state what type of birth control method they use. The results are in the table below. None None None Condom Condom Condom Pill Pill Other Other Pill Other Condom Condom Pill None Condom Pill Pill Other a) Since data were collected for variable(s), the correct graph to make is a . b) Complete the frequency/relative frequency table. Birth Control Type Frequency Relative Frequency None Condom Pill Other c) Which of the following is the correct bar chart for the given data? 2468Birth Control TypeFreqNoneCondomPillOther[Graphs generated by this script: setBorder(49,45,0,10); initPicture(0,13,0,8);axes(1000,2,1,1000,2); fill="blue"; textabs([165,0],"Birth Control…
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The following data refers to the amount of caffeine (in mg) consumed by ten university students and their time to complete a practice test (in minutes) for a Economics Exam. Use attached Graph and Table to answer question below pls Describe the overall pattern of the relationship between caffeine amount and time to finish the practice exam in graph diagram provided. Does it follow a straight-line pattern? Is there a positive or negative association, or neither? How strong is the relationship?
The table lists the average gestation period (in days) and longevity (in years) for the following mammals, as reported in The World Almanac and Book of Facts 2006. Mammal Gestation, y(days) Longevity, x(years) Mammal Gestation, y(days) Longevity, x(years) Baboon 187 20 Camel 406 12 Bear, black 219 18 Cat 63 12 Bear, grizzly 225 25 Chimpanzee 230 20 Bear, polar 240 20 Chipmunk 31 6 Beaver 105 5 Cow 284 15 Buffalo 285 15 Deer 201 8 Dog 61 12 Monkey 164 15 Donkey 365 12 Moose 240 12 Elephant 645 40 Mouse 21 3 Elk 250 15 Opossum 13 1 Fox 52 7 Pig 112 10 Giraffe 457 10 Puma 90 12 Goat 151 8 Rabbit 31 5 Gorilla 258 20 Rhinoceros 450 15 Guinea pig 48 4 Sea lion 350 12 Hippopotamus 238 41 Sheep 154 12 Horse 330 20 Squirrel 44 10 Kangaroo…
5 8 Mulitple Choice Identify the type of causal relationship for the example below: "Leadership ability is strongly correlated with academic achievement in high school" A) accidental B) presumed relationship C) cause-and-effect D) reverse cause-and-effect

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