You are conducting a test of independence for the claim that two different populations have the sameproportions of the following two characteristics. Here is the sample data.CategoryABAPopulation Population#1#2B957The expected observations for this table would bePopulation PopulationCategory21119What is the chi-square test-statistic for this data?2x²Report all answers accurate to three decimal places.

The data is given on the populations are category.Given that, Population # 1Population #…

Answered: The expected observations for this…

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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QUESTION 1 The U.S. Mint produces approximately 13 billion pennies a year. A random sample (n-800) of pennies were collected and their minted years were recorded. The output, histogram, box-plot, and QQ plot for the distribution of the years of production for the pennies can be found on the attached document. PenniesNormalitylnformation 200405.pdf The mean is only slightly less than the is left skewed. which suggests the distribution 1. histogram v This is within the acceptable range (between -1 and +1). Interquartile range 2. The is also between the acceptable range of -3 and +3. 3. kurtosis v The has only one mode and the tails are approximately equal length. 4. longer 5. median The box and whisker plot shows the median is approximately in the center of the 6. Normal v The left whisker is slightly than the right whisker. 7. QQ Plot v The raw scores hug the theoretical line on the 8. shorter Therefore, there is enough evidence to assume that the data can be considered 9. skewness 10.…
Which of the following figures is irrelevant in a chi square analysis? O Sample mean Degrees of freedom O Sample size O Number of variable categories
When the nature of population from which samples is drawn is not known to be normally distributed the data can be analysed with the help of a. Parametric statistics b. Descriptive statistics c. Non-parametric statistics d. None of the above
Women stereotypically talk more than men do and researchers wondered how much more. Suppose a study attempted to determine the difference in the mean number of words spoken by men or women per day. The results of the study are summarized in the table. Group Populationmean Samplesize Samplemean Sample standarddeviation Standard errorestimate women ?w (unknown) ?w= 36 ?⎯⎯⎯w= 14704 ?w=6215 SEw=1036 men ?m (unknown) ?m= 24 ?⎯⎯⎯m= 15022 ?m=7864 SEm=1605 df=41.4224 Assume the conditions are satisfied for a two‑sample ?‑confidence interval. First, determine the positive critical value, ?, for a 95% confidence interval to estimate how many more words women speak each day on average compared to men, ?w−?m. Give your answer precise to at least three decimal places. Determine lower and upper limits of a 95% confidence interval for how many more words speak each day on average compared to men. A negative number would indicate how many fewer words women speak each day on average…
Indicate which of the following are measures of spread. (a)Inter quartile range (b)Mean (c)Range (d)Variance
Question 1. Greater than or Less than. Question 2. IS or IS NOT.
A random sample of five observations from three normally distributed populations produced the following data: (You may find it useful to reference the F table.) (table is the screenshot picture) a. Calculate the grand mean. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.) b. Calculate SSTR and MSTR. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) c. Calculate SSE and MSE. (Round intermediate calculations to at least 4 decimal places and final answers to 4 decimal places.) d. Specify the competing hypotheses in order to determine whether some differences exist between the population means. _H0: μA = μB = μC; HA: Not all population means are equal. _H0: μA ≤ μB ≤ μC; HA: Not all population means are equal. _H0: μA ≥ μB ≥ μC; HA: Not all population means are equal. e-1. Calculate the value of the F(df1, df2) test statistic. (Round intermediate calculations to at least 4 decimal…
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source gender adult categories DF MS 6.000 8.667 C 0.225 4.334 0.187 6.000 A 4.000 27.333 Error B Total 5 Assume all the assumptions of ANOVA are met, answer the following questions. c) Using the given data, show that SST is 27.333
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
Suppose we want to compare scores (which can take on any value within a specified range) at baseline and at follow-up for a given sample. Using the data in the table below, compute a 95% CI for the mean difference in scores. Subject ID Baseline Follow-Up 1 13 6 2 10 8 3 9 11 4 12 11 5 8 5
QUESTION 2 A study is being carried out to see any differences in life satisfaction between young, middle- aged, and older men and women. A life satisfaction questionnaire is given to each participant in the research. A high degree of life satisfaction is indicated by a high score on the questionnaire. The results are listed in the table below. Adult Categories Gender Young Middle Older Men 7 10 Women 7 11 10 The MINITAB output for the above data is as follows. Analysis of Variance Source DF ss MS F P 6.000 C 0.225 gender adult categories 1 6.000 2 A 8.667 4.334 0.187 Error 2 4.000 в Total 27.333 Assume all the assumptions of ANOVA are met, answer the following questions. a) Identify the experimental design that was applied by the researcher. Give one advantage of this design.

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The expected observations for this table would be Category Population #2 A B Population #1 What is the chi-square test-statistic for this data? x² =