I need computer code written for the following : Please ask me if you need any o
ID: 3695790 • Letter: I
Question
I need computer code written for the following : Please ask me if you need any other information, I need this ASAP and will give maximum points for any help.
Consider a random walk problem in one dimension.
a) If N = 10, calculate (1 ) 1 for 61 < 8.
b) If N = 300, calculate (1 ) 1 for 180 1 < 240.
c) By using the Gaussian (normal) distribution, calculate () for each case. Compare the results with those of parts a) and b).
Please round to four significant figures. please State what computer system notation you are using for example Linux, python.
Explanation / Answer
For numeric data with sample size under 30, you check for outliers by making a box-whisker plot and check for normality by making a normal probability plot.
qualitative = attribute, non-numeric, categorical. Examples: political party affiliation, gender.
quantitative = numeric. Examples: height, number of children.
Common mistake: Binomial is a subtype of qualitative data so it’s not really a synonym. Discrete and continuous are subtypes of numeric data.
equal to 1/6. The die has no memory: each trial is independent of all the others.
The Gambler’s Fallacy is believing that the die is somehow “due for a 6”. The Law of Large Numbers says that in the long run the proportion of 6’s will tend toward 1/6, but it doesn’t tell us anything at all about any particular roll.
(a) pop. 1 = control, pop 2 = music
H0: p2 = p1 and H1: p2 < p1
Or: H0: p2 – p1 = 0 and H1: p2 – p1 < 0
(b) Case 5, Difference between Two Pop. Proportions; or 2-PropZTest
Common mistake: You must specify which is population 1 and which is population 2.
Common mistake: The data type is binomial: a student is in trouble, or not. There are no means, so is incorrect in the hypotheses.
Check this against the definition:
This is a binomial PD.
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.