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Produce a set of descriptive statistics from your data; for this part you will need to a)determine various measures of average and dispersion- these should include values of mean, median and mode. b
Based on the information presented in this example, create five to seven hypotheses that you would want to test as a way to examine the relationship between social media presences and financial succ
Below is a list of grades received by a 12th grade math class for their final exam. Properly organize the data using a method of your choosing and then calculate the measures of central tendency, va
What is the probability you will have enough money at the end of 3 years to buy the car? If you type (or copy) “= NORM.INV(RAND(), 9, 16)” in a cell in Excel the result will be a random
Is the murder rate in states with the death penalty less than in states without the death penalty? Add to the paper and finish. Prepare report on the topic using statistics to support the position.&
We know from previous data that that weight of oranges for export x:N (300, 252) (unit in grams) follow the normal distribution. It is important that all oranges for export have to be in similar siz
Question 1. Identify the steps in interpreting a regression model. Interpret the following data:
Suppose that you have £1 million to invest and you wish to construct a bond portfolio which is immunized with respect to a 4-year horizon. You opt for a duration-immunization. How much par of
Identify the main problems presented by statistics of employment, unemployment, underemployment, and economic inactivity. Taking account of these problems and using data from the UK and the most rec
Audience: Scientists who have likely had only one intro course in statistics (Stat 200) and that may have been many years ago (so the information is not fresh in their minds).
What is better about writing papers than taking tests? Why are tests not a good alternative? What do you gain from writing papers that you would not get from taking tests? Are there any personal rea
1. Compute scores to obtain a total Index of Life Stress (ILS) at age 40& 60 2. Compute a paired-samples t test to determine if overall life stress, on average, increases or decreases with age i
What are some examples of probability outcomes in your work or life? How would looking at them in terms of probabilities help us understand what is going on? How does the normal curve relate to acti
Formulate this problem as a Linear Programme, obtain an optimal solution and sensitivity report by using Solver. Use this information to answer the following questions:
a. Construct a scatterplot. b. Draw a regression line through the data point that “fits” the data points reasonably well. c. Enclose the data points with a ellipse.
a) Study the data and make sure you understand how each variable is measured. How should you go about trying to explain the variation of wages across individuals?
Write a complete paragraph for the following questions. 1) Compare linear regression to the moving averages and smoothing techniques. Why is linear regression more appropriate for long-range foreca
Describe the steps in the procedure for testing hypotheses. Discuss the difference between a null hypothesis and an alternative hypothesis.
Conclude with a brief discussion of your data analysis plan. Discuss the test you will use to address the study hypothesis and which measures of central tendency you will report for demographic vari
a) Calculate the three sigma control limits for the mean and range chart. Write the steps supporting your calculations.
If the body shop were only producing trucks, it could process 50 per day. Each truck contributes 300$ to profit, and each car contributes 200$ to profit. Use linear programming to determine a daily
Statistical Process Control: is a method of quality control which uses statistical methods. SPC is applied in order to monitor and control a process.
1. Mean, Median and Mode and advise him on the best price range for his cloths. 2. Looking at the results analyse the data such as the range and standard Deviation and how this information will
There is an approximate linear relationship between the height of females and their age (from 5 to 18 years) described by: height = 50.3 + 6.01(age) where height is measured in cm and age in years.