b) The table below shows the number of absences in a class and the final exam grade of 7randomly selected students. At 5% level can we say that there is a significant linear relationshipbetween X and Y?Student26.1345number of absences (X)143final exam grade (Y)95557090908085a) Null and alternative hypothesisb) Appropriate test to usec) Tail of the distributiond) Decision Rule

Answered: Image /qna-images/answer/3dc7b94d-251d-4eef-98af-105cac4a815d.jpg

Answered: b) The table below shows the number of…

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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1) In a large high school of 2500 students, the mean number of cars owned by students’ families is 2.35 with a standard deviation of 1.06 cars.a) Think about this distribution. Do you think it is normal? Using the empirical rule give the ranges for each of the 3 standard deviations assuming this is a symmetric and mound shaped distribution. Does it seem like this is the distribution is normal?b) A simple random sample of 16 students is taken and the mean number of cars owned is calculated. What are the mean and standard deviation of the sample mean? Can we use this to find probabilities? Why or why not?c) A simple random sample of 36 students is taken and the mean number of cars owned is calculated. What are the mean and standard deviation of the sample mean? Can we use this to find probabilities? Why or why not? d) Using the information in part c) What is the probability that the sample mean is greater than 2.5 cars? Insert the graph from Rguroo that gives the output for this…
A) Pastve corelation B) Negabve cordaton C) Nocorrelaton O Positive Correlation Nogative Correlation CrNo. Correlation
1. One difference between ANOVA and regression is: a) ANOVA is for statistical inference, whereas regression is not b) a regression line accounts for variability, whereas variability is not a concept in ANOVA c) in regression, we estimate a slope, whereas in ANOVA, we estimate mean differences d) ANOVA bases its inferences on samples, whereas regression bases its inferences on populations e) ANOVA and regression are not different at all, they are exactly the same f) ANOVA features p-values, whereas regression does not
The predictive distribution pynewy) for a new observation Ynew takes into account the posterior uncertainty of the parameters. True False
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
Need help with question iv) and v)
Q-18: What is symmetrical, right skewed and left skewed distribution and its properties? What is leptokurtic, mesokurtic and platykurtic distribution and its properties?
Histogram of random samples data are often used as an indication of the shape of the underlying population distribution. The histograms on the next page are based on random samples of 30, 50 and 100 from the same population. A) Using the midpoint labels of the three histograms, what wouldyou say about the estimated range of the population data from the smallest to largest? Does the bulk of the data seem to be between8 and 12 in all histogram? B) The population distribution from which the sample were drawn in symmetric and mound-shaped, with the top of the mound at 10.95% of the data between 8 and 12 and 99.7% of data between 7 and 13. How well does each histogram reflect these characteristics?
when a population is uniformly distributed (flat), is the sampling distribution of xbar for random samples of 2 observations roughly normal, strongly skewed, or triangular?
1) make a scatter plot with the line best of best fit 2) calculate the correlation (r) 3) describe the scatter plot (DUFS) 4) Calculate and write the LSRL
point) Four buses carrying 157 high school students arrive to Montreal. The buses carry, respectively, 33, 50, 25, and 49 students. One of the studetns is randomly selected. Let X denote the number of students that were on the bus carrying this randomly selected student. One of the 4 bus drivers is also randomly selected. Let Y denote the number of students on his bus. Compute the expectations and variances of X and Y: E(X) = Var(X) = E(Y) = Var(Y) =

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