+1-415-670-9189
info@expertsmind.com
Create two histograms and two q-q plots
Course:- Applied Statistics
Reference No.:- EM132137863




Assignment Help
Expertsmind Rated 4.9 / 5 based on 47215 reviews.
Review Site
Assignment Help >> Applied Statistics

Applied Statistics Homework Project -

Download the data twoGenes.sav from the Week Four content area of brightspace. Each row represents data from a different sample of yeast RNA expression. The data represent the log2 fold-change in expression between yeast grown under warm and cold conditions. The two columns represent expression from two different genes. Remember how SPSS data organization works!

A. Explain in a couple of sentences what is meant by "log2 fold change." This will require you to look something up. Provide a reference that's not wikipedia. Tell what the units are for log2 fold change.

B. Create a table of descriptives that includes the following information: means, 99% confidence intervals for the means, standard errors for the means, and standard deviations. The table should have two columns (one for each gene).

C. Create two histograms and two q-q plots. How would you assess normality of these data?

D. Does Gene1 have negative log2 fold change in expression? Answer this question with a hypothesis test, using a significance level of α  = 0.05. Provide a p-value and explain how you obtained it. Provide an explanation of your conclusion: don't just say "yes" or "no" with a p-value.

E. Do Gene1 and Gene2 have different log2 fold changes in expression? Answer this question with a hypothesis test, using a significance level of α = 0.10. Provide a p-value and explain how you obtained it. Provide an explanation of your conclusion: don't just say "yes" or "no" with a p-value.

Again, you must submit two documents, a "write-up" file and a "raw results" file. Each question needs to be answered in a well-organized and readable manner in the write-up. The raw results file needs to show all work on all parts.

Attachment:- Assignment Files.rar




Put your comment
 
View Conversion
Minimize
  1. user image
    len2137863

    There is no excuse for late work. You will have a five minute grace period of no penalty. Papers that are over 5 minutes but less than 75 minutes late will incur a penalty of 20%. Late papers turned in within 24 hours will incur a 50% penalty. This project is not a paper; rather, there are five independent questions you must answer, showing all your work. You will need to submit two files to complete this assignment: one pdf document answering the questions below, and one .spv file with the raw SPSS output. The .spv file should show ALL your SPSS work.



Ask Question & Get Answers from Experts
Browse some more (Applied Statistics) Materials
In a sample of n = 15 selected from an underlying normal distribution, we obtain standard deviation s =10. Test the null hypothesis that the population standard deviation σ =
Analyze an urban area's population density by census tract to test if predictions of urban models hold true. You could examine changes over time (e.g. 1980, 1990, 2000, 2010
A transmitter sends bits to a receiver across a noisy channel. The model for the noise is simple: regardless of whether a one or a zero was transmitted, the channel flips the
What is a discrete probability distribution? Explain in your own words. What conditions must be satisfied by the probabilities in a discrete probability distribution? Explai
The Dow Jones Industrial Average was 838.92 on December 31, 1970, and 11,577.51 on December 31, 2010. The CPI was at 39.8 in December 1970 and 219.2 in December 2010. If the
MA0261 - Assignment Model the process described above in Simul8. Justify any assumption and simplification that you made during the modelling process and explain how you dete
Rover's Friends provides dog washing services. For each dog, supplies cost $ 3 and wages are $ 5. To provide this service, a special room and equipment are needed, at a cost o
For a certain product, the net contribution can be seen as Net Contribution = $500,000Q - $200,000, where Q is the market share.  The expected market share (E(Q)) is then