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Discussion
1. Distinguish between Descriptive Statistics and Inferential Statistics.
2. For each of the following variables, indicate if it is quantitative or categorical and also indicate the scale of measurement used for each:
The Gender of an individual
The Weight(pounds) of a package
The Income(dollars) of an individual
True / False questions on a examination.
The Distance(miles) between two cities.
Create a correlation table for the variables in our data set. Reviewing the data levels from week 1, what variables can be used in a Pearson's Correlation table (which is what Excel produces)
6. Bay Area Community College (BACC) has collected data comparing the starting salaries of their graduating students with last names beginning with the letters A through M with those whose last names begin with N through Z. The first category,..
Compute the mean price of the stock, what is the median price and compute the variance and standard deviation
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 bit with probability p = 0:1. Furthermore, assume that the noise acts on ea..
Use these data to develop an estimated regression equation that could be used topredict the total cost for a given production volume and what is the variable cost per unit produced
What is the probability that the birthdays of 7 people will fall on 7 different days of the weeks, assuming equal probabilities for the seven days?
HI6007 Group Assignment. Develop an estimated regression equation with annual income and household size as the independent variables. Discuss your findings
Calculate the ARL and look at the chart to see if the number looks about right. Use the time information in the raw data and your ARL value to calculate how many minutes between a false alarm. Will the operators be happy with this?
What is best predicted test score for a student who spent 7 hours preparing for the test? Find the standard error Se. Use formula or Microsoft Excel Regression.
They want to determine whether the program increases the mean traffic.
Identify the exposure input, i.e which variable in Claims gives the exposure? Explain your answer - what is the total number of categories for counts
According to the most recent davenport student profile
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