1. For each of the following variables: major, graduate GPA, and height:

a. Determine whether the variable is categorical or numerical.

b. If the variable is numerical, determine if it is continuous or discrete.

c. Determine the level of measurement.

2. For variable undergrad specialization:

a. Construct a pie chart.

b. Construct a Pareto chart.

c. What conclusions can your reach about the undergrad specialization?

3. For variable anticipated salary in 5 years:

a. Construct a frequency distribution and a percentage distribution that have class intervals with the upper class boundaries 40, 50 and so on.

b. Construct a histogram.

c. Construct a polygon.

d. Construct a cumulative percentage polygon.

e. Around what amount do the anticipated salary values seem to be concentrated?

For variable anticipated salary in 5 years:

1. Compute the mean, median, and mode.

2. Compute first quartile (Q1) and third quartile (Q3) and the interquartile range. List the five-number summary.

3. Construct a box plot.

4. Compute the variance, standard deviation and co-efficient of variation.

5. Write a brief report summarising your conclusions.

For gender and major:

1. Construct a contingency table.

2. Compute all the conditional and marginal probabilities for the table.

3. Given that a graduate's gender is male what is the probability that the graduate has a major "A".

4. What conclusions can you reach about independence of the major and gender variables? Explain your answer using probabilities found above.

1.  For variable anticipated salary in 5 years  decide whether the data can be described by the normal distribution:

a.  Comparing data characteristics to the theoretical one for the normal distribution.

b.  Constructing a probability plot.

2.  If you select a sample of n = 50, from the normal distribution with µ = 100 and σ = 35, what is a probability that the sample mean will be greater than 80 and less than 120?

3.  Suppose that in a sample of n = 36 salary values, the sample mean was 90 and standard deviation 40. Construct a 90% confidence interval estimate for the population mean.

Posted Date: 2/15/2013 6:50:24 AM | Location : United States

Ask an Expert

Related Discussions:- Construct a cumulative percentage polygon, Assignment Help, Ask Question on Construct a cumulative percentage polygon, Get Answer, Expert's Help, Construct a cumulative percentage polygon Discussions

Write discussion on Construct a cumulative percentage polygon
Your posts are moderated

Write your message here..

Related Questions

Factor loadings matrix, As we stated above, we start factor analysis with p... As we stated above, we start factor analysis with principal component analysis, but we quickly diverge as we apply the a priori knowledge we brought to the problem. This knowled

What are the null and alternative hypotheses, Test the following claim. Id... Test the following claim. Identify the null hypothesis, alternative hypothesis, test statistic, critical value(s), conclusion about the null hypothesis, and final conclusion that

Bivariate distribution, f(x,y)=c(6-x-y) ,o find P(X+Y f(x,y)=c(6-x-y) ,o find P(X+Y

Break-even analysis, a. How can break-even analysis be used in selecting a ... a. How can break-even analysis be used in selecting a new plant site? b. What are potential advantages and disadvantage of locating a production facility in foreign country i

Find relative maxima and minima, Q. Find relative maxima and minima? Wh... Q. Find relative maxima and minima? When finding relative maxima and minima in the Chapters absolute extrema problem, don't forget to use the first or second derivative test to

LPP, b. A paper mill produces two grades of paper viz., X and Y. Because of... b. A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y

Predict higpa using a logistic regression, In this problem, we use the CSDA... In this problem, we use the CSDATA data set, which is available in 'CSDATA.txt'. We done an indicator variable, say HIGPA, to be 1 if the GPA is 3.0 or better and 0 other- wise. S

Median, Median Median is a position average. It is the value of middle ... Median Median is a position average. It is the value of middle item of a variable when the items are arranged according to their values either in ascending or descending order.

Regression analysis, Of the 6,325 kindergarten students who participated in... Of the 6,325 kindergarten students who participated in the study, almost half or 3,052 were eligible for a free lunch program. The categorical variable sesk (1 == free lunch, 2 = n

Calculate the ratio of the sample standard deviation, The Case Study includ... The Case Study included information about the price for a full meal before and after the law change (in dollars).  Of interest is whether the differences in price for a full meal b