Now that you have a better idea about what differentiates a one sample chi square from an independent samples (two factor) chi square, I want you to come up with one study idea that would use a one sample chi square and one study that would use an independent samples (two factor) chi square.

A circle of radius r has area A = πr2. If a random circle has a radius that is uniformly distributed on the interval (0, 1), what are the mean and variance of the area of the circle?

Change the distribution of the radius to an exponential distribution with paramter β = 2. Also find the probability that the area of the circle exceeds 3, if it is known that the area exceeds 2.

An online shoe retailer sells women’s shoes in sizes 5 to 10. In the past orders for the different shoe sizes have followed the distribution given in the table provided. The management believes that recent marketing efforts may have expanded their customer base and, as a result, there may be a shift in the size distribution for future orders. To have a better understanding of its future sales, the shoe seller examined 1,174 sales records of recent orders and noted the sizes of the shoes ordered. The results are given in the table provided. Test, at the 1% level of significance, whether there is sufficient evidence in the data to conclude that the shoe size distribution of future sales will differ from the historic one.

Use the data below to answer the questions in this assignment.

You will first need to enter the following data in SPSS with “age” and “hours” as your variable names.

Age and Hours on Computer Data

Age (X): 24, 23, 23,25,27, 21,21,30,21,29

Number of hours on spent on computer per week (Y): 14,24,18,23,19,23,16,10,6,15

This question is only being used to describe the data set. In the box below you only need to enter 0.

Run a correlation analysis in SPSS to test whether or not there is a relationship between age and hours.

Statistical Significance:

Based on your SPSS results, state the specific probability that the r coefficient (i.e., correlation) value found was due to error and comment on whether or not your results are statistically significant.

Practical Significance:

Based on your SPSS results, state the value of the effect size and comment on whether the effect is practically significant.

We have learned hypothesis tests

1. for the mean (when population variance is known and when it is unknown)
2. for a percentage
3. to see if the means of two sets of data are the same
4. goodness of fit test
5. test for independence

For each type give a brief example. You do not have to solve the problem you give.

A random sample of 400 electronic components manufactured by a certain process are tested, and 30 are found to be defective.

a) Let p represent the proportion of components manufactured by this process that are defective. Find a 95% confidence interval for p. Round the answers to four decimal places.

b) How many components must be sampled so that the 95% confidence interval will specify the proportion defective to within ±0.02? Round up the answer to the nearest integer.

c) The company ships the components in lots of 200. Lots containing more than 20 defective components may be returned. Find a 95% confidence interval for the proportion of lots that will be returned. Use the normal approximation to compute this proportion. Round the answers to four decimal places.

A data set with whole numbers has a low value of 20 and a high value of 89. Find the class width for a frequency table with seven classes.

If possible, Please show work in notebook.

He decides go through with making his experiment a repeated-measures design. Each of the 20 subjects take part in both conditions, and he finds a mean of the difference scores is 12 (M_D = 12) with a standard deviation of the difference scores of 8          (S_D = 8). Please find the t-critical and the test statistic (assuming alpha = .05_{2 tail)}. Then describe what the found.

                        t_crit =

                        t-statistic =

                        Conclusion:

Finally, he wants to know the magnitude of the effect of the drug. Please calculate the Cohen’s d and interpret what it means.

                        Cohen’s d =

                        Interpretation:

please assist with data cleaning problems

just want article on data cleaning problems

An important application of regression analysis in accounting is in the estimation of cost. By collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. Consider the following sample of production volumes and total cost data for a manufacturing operation.

Compass maritime services llc valuing ships solution

How much is the Bet Performer worth based on comparable transactions? Which ship is the best reference transaction?

1. How is the variance affected when you add a predictor to a multiple regression model?

2. Why does multiple-regression modeling require subject-matter expertise?

3. Can overfitting occur in a model with a high coefficient of determination value? What would that mean for that model?

4. What is the process of assessing a model’s capacity to make accurate predictions?

Write a two to three (2-3) page report

Assignment 1: Bottling Company Case Study< Due Week 10 and worth 140 points Imagine you are a manager at a major bottling company. Customers have begun to complain that the bottles of the brand of soda produced in your company contain less than the advertised sixteen (16) ounces of product. Your boss wants to solve the problem at hand and has asked you to investigate. You have your employees pull thirty (30) bottles off the line at random from all the shifts at the bottling plant. You ask your employees to measure the amount of soda there is in each bottle. Note: Use the data set provided by your instructor to complete this assignment.

Write a two to three (2-3) page report in which you: 1. Calculate the mean, median, and standard deviation for ounces in the bottles. 2. Construct a 95% Confidence Interval for the ounces in the bottles. 3. Conduct a hypothesis test to verify if the claim that a bottle contains less than sixteen (16) ounces is supported. Clearly state the logic of your test, the calculations, and the conclusion of your test. 4. Provide the following discussion based on the conclusion of your test: a. If you conclude that there are less than sixteen (16) ounces in a bottle of soda, speculate on three (3) possible causes. Next, suggest the strategies to avoid the deficit in the future. Or b. If you conclude that the claim of less soda per bottle is not supported or justified, provide a detailed explanation to your boss about the situation. Include your speculation on the reason(s) behind the claim and recommend one (1) strategy geared toward mitigating this issue in the future. Your assignment must follow these formatting requirements: • Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides. No citations and references are required, but if you use them, they must follow APA format. Check with your professor for any additional instructions. • Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: • Calculate measurements of central tendency and dispersal. • Determine confidence intervals for data. • Describe the vocabulary and principles of hypothesis testing. • Discuss application of course content to professional contexts. • Use technological tools to solve problems in statistics. • Write clearly and concisely about statistics using proper writing mechanics

As you just saw, we used a Tukey post hoc test to look at the differences between the sloppy, dressy, and casual conditions. So why not just use three t-Tests (one comparing sloppy to dressy, one comparing sloppy to casual, and one comparing dressy to casual)? For this Pause-Problem, tell me why you wouldn’t want to run multiple t-Tests.