Genetic Creutzfeldt-Jakob Disease (gCJD) is a very rare disease, and the number of deathscaused by gCJD each year in the United Kingdom can be modeled using a Poissondistribution with unknown parameter 0. Numbers of gCJD deaths for the period 2005-9are given in Table 12. A Gamma(11, 2) was selected as a prior for 0.YearNumber of deathsTable 122005 200613 92007 2008 20099 5 8(a) State the posterior for parameter 0, given the data and prior above.(b)Calculate the posterior mode for 8, giving your answer to 2 decimal places.(c) Figure 11 shows the prior, likelihood and posterior for 8.Figure 1110PriorLikelihoodPosterior15Comment on the relative contributions of the prior and data to the posterior,justifying your opinion. How have the data affected opinion about ?

Thus, the posterior distribution of θ is Gamma (55 , 7)

Answered: Genetic Creutzfeldt-Jakob Disease…

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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08 Siti has created a dataset containing 10 rows of data, each row signifies one person. She has two variables, the first is Age (in years) and the other is Cholesterol levels (in mmol/L). She wants to find out if there is any relationship between these two variables using the Pearson correlation in SPSS. a) State the null and alternative hypotheses. b) Based on the Pearson correlation results below from SPSS, make a decision regarding the null hypotheses. Age Pearson Correlation Sig. (2-talled) N Age 1 10 .882 Cholesterol Pearson Correlation Sig. (2-talled) N Correlation is significant at the 0.01 level (2-talled). Cholesterol .882 .001 10 .001 10 1 10
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.…
Ensure the RaceResults worksheet is active, then use the FREQUENCY function to calculate the frequency distribution of the race results in column D. Place your results in the range G4:G9. Enter a function in cell F22 to calculate the correlation between age (Columns C) and race time (Column D). Enter a function in cell G22 to calculate the covariance between age and race time. Enter a function in cell H22 to calculate the variance of the ages in the data set. Note this is a sample of data not a population. Enter a function in cell 122 to calculate the standard deviation of the ages in the data set.
Liu et al. (2015) recently reported the results of a study examining whether happy people live longer. The study followed a large sample of British women, aged 50 to 69, over a 10-year period. At the beginning of the study, the women were asked several questions including how often they felt happy. After 10 years, roughly 4% of the women had died. The following table shows a frequency distribution similar to the results obtained in the study. Lived Died Within 10 Years Total Happy Most of the Time 382 18 400 Unhappy Most of the Time 194 6 200 Total 576 24 n = 600 Do the data indicate a significant relationship between living longer and being happy most of the time? Test with α = .05. (Round your answers to two decimal places for χ²-critical and χ².) χ²-critical = χ² = Conclusion: Fail to reject the null hypothesis. There is a relationship between living longer and being happy most of the time. Reject the null hypothesis. There is no relationship between living longer and being…
A study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…
Q.No.1. (Marks 08) Explain the following with suitable examples. Mutually exclusive events Sampling Correlation Regression
tion w E Bb Collaborate - 2020 Fall Term + ed.cuny.edu/webapps/assessment/take/launch.jsp?course_assessment_id=_1729781_1&course_id%3 1968349 1&content id- 53765765 18step=null * Question Completion Status: QUESTION 1 A graphical display of a data set is given. Identify the overall shape of the distribution as (roughly) bell-shaped, triangular, uniform, reverse J-shaped, J-shaped, right skewed, left skewed, bimodal, or multimodal. 1 pc A relative frequency histogram for the sale prices of homes sold in one city during 2006 is shown below. Relative Frequency 0.35 0.30- 0,25 0.20 0.15 0.10 0.05 - 0.00 10 15 20 25 30 35 40 45 Sale price of home ($10,000s) Solution: Right skewed O J-shaped O Right skewed O Left skewed O Reverse J-shaped
What is the sample correlation coefficient for these data? Carry your intermediate computations to at least four decimal places and round your answer to at least three decimal places.
Example 3: Last year, the population mean of electric energy consumption in city A was 150kwh/month. After a public energy savings awareness campaign, obserse on electric energy 867 Carry consumption of some households. 100- 120- 140- 160- (KWH/month) Households 120 140 160 180 11 9. 3 Assuming that X is normally distributed, does the data suggest that the population mean of electric energy consumption decrease? Carry out a test using a significance level of .05. Ans: t=-3,37 5E
In a random sample of sixteen different industries the percentage employment x in STEM (science, technology, engineering, mathematics) and mean annual compensation y(in thousands of dollars) were recorded, with the following results. The scatter diagram showed a linear trend. SSx = 1303.9 SSsy= 1503.0 SSy = 2660.2 Ey = 915 n= 16 %3D Ex = 150 .1 1sx<34 36.7 s y < 90.5 Predict the mean annual compensation in industries in which 30 percent of the workforce are in a Stem field. You answer should be entered in thousands of dollars. Example: If you calculate y-hat as 40.6 then the answer you enter should be 40,600
Provide an Interpretation for the following SPSS Output: Correlations Total Annual Household Income(in USD) BMI (kg/m2) Total Annual Household Income(in USD) Pearson Correlation 1 -.107 Sig. (2-tailed) .000 N 1750 1750 BMI (kg/m2) Pearson Correlation -.107 1 Sig. (2-tailed) .000 Edit View Insert Format Tools Table 12pt v Paragraph BIUA >
The graphs show a violation of the assumption of (check all that apply) normality homogeneity of variance

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