Discuss a chi-square distribution


Discussion:

Q: If you toss a die twice, what is the sample space if you want to restrict the results to only the ones where adding the results of the two throws together equals seven? For example, if you get 1 on the first toss and 6 on the second toss these two tosses meet the criteria.

Which statistics distributions are based on the normal curve?

Which of the following are functions with x denoting the independent variable and y denoting the dependent variable? Choose all that apply.
A. y = f(x)
B. x = f(y)
C. y = a + bx

Which statement(s) is/are false about the Chi Square distribution?

A. As the degrees of freedom increases, the Chi Square distribution approaches a normal distribution.

B. The chi-square distribution is always right skewed, regardless of the value of the degrees of freedom parameter.

C. The chi-square statistic is always positive.

D. As the degrees of freedom increases, the shape of the chi-square distribution becomes more skewed.Which of the following is a paired sample?

A. Ten pairs of data were taken measuring zinc concentration in bottom water and surface water.
B. Randomly select 20 males and 20 females and compare the average time they spend watching TV.

A professor wants to determine if her students are getting taller. She obtains the height of 50 of her students over the years. What is the df?

Which one is correct for bivariate data?

A. If the measurements are categorical (e.g. Yes or No to the question "Do you smoke?") and taken from two distinct group (e.g. Female, Male) the analysis will involve comparing two independent means.

B. If the measurements are quantitative (e.g. GPA) and taken from two distinct groups (e.g. Graduate, Undergraduate) the analysis will involve comparing two independent proportions.

C. If the measurements are quantitative (e.g. Weight) and taken twice from each subject (e.g. subject's weight before and after dieting) the analysis will involve comparing two dependent means.

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Basic Statistics: Discuss a chi-square distribution
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