I would like the response to the sample questions below in excel format, so that I can see the formulas used. 11.37 The quality director for a clothing manufacturer wants to study the effect of operators and machines on the breaking strength (in pounds) of wool serge material. A batch of the material is cut into square-yard
1. The mean lifetime for cardiac stents is 8.9 years. A medical device company has implemented some improvements in the manufacturing process and hypothesizes that the lifetime is now longer. A study of 40 new devices reveals a mean lifetime of 9.7 years with a standard deviation of 3.4 years. Is there a statistical evidence of
Using the data in the Excel file "Home Market Value," develop a multiple linear regression model for estimating the market value as a function of both the age and size of the house. Find a 95% confidence interval for the mean market value for houses that are 30 years old and have 1,800 square feet and a 95% prediction interval f
1. Management at the local Randy Rooster Chicken Hut noted 50 percent of the customers order the crispy coating and the remainder order original coating. a. What kind of probability distribution will you use to solve this problem? b. What is the probability that none of the next four customers will request crispy? c. What is
There are several advantages of using a paired t-test. Since the same subjects are being tested in each of the varying conditions, those subjects serve as their own control. This is a major advantage as you need not consider potential differences between the subjects in the control group and the subjects who are in the experimen
Hassan the file is attached. Betsy is interested in predicting how many 75-year old's will develop Alzheimer's disease and is using as predictors level of education and general physical health graded on a scale from 1 to 10. But she is interested in using other predictor variables as well. With the four predictor variable
I would be grateful to any experts in regressions for a step-by-step explanation of some simple regression estimations - please see the two attached files. Attached to this post is an Excel spreadsheet which contains two time series, X and Y. To fully understand how the B0 and B1 estimators are estimated, I would be gratef
Using the data attached, perform the following: Imagine that you have population data with an average height of 5 feet 10 inches. Conduct a one-sample t-test to determine whether your sample population is significantly different from the general population. Imagine that you have population data with an average satisfaction
Compute a one-sample t-test comparing the age of your invented sample to the age of the general population of college students in traditional on-ground universities. Assume the population mean is 21. Any other required data may be fabricated. Please include a paragraph of interpretation of the results.
I need help with both of these problems. I have tried everything and I can't figure it out. Problem Set # 6.54. A new dental bonding agent. When bonding teeth, orthodontists must maintain a dry field. A new bonding adhesive (called Smartbond) has been developed to eliminate the necessity of a dry field. However there is
1. A government has specialist who analyze the frequencies of letters of the alphabet in an attempt to decipher intercepted messages. In standard English text, a particular letter used at a rate of 6.8%. a) Find the mean and standard deviation for the number of times this letter will be found on a typical page of 2000 charact
Using AIU's survey responses from the AIU data set complete the following requirements. TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independen
1. Heights of men on a baseball team have a bell-shaped distribution with a mean of 185cm and a standard deviation of 6 cm. Using the empirical rule, what is the approximate percentage of the men between the following values? a. 167cm and 203cm b. 179cm and 191cm 2. Heights of women have a bell-shaped distribution with a me
Please provide detailed steps to solve. Thanks. An epidemiologist found five cases of "big toe cancer" in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were ind
Waiting Lines and Queuing Theory Models Q14-23 Bill First, general manager of Worthmore Department Store, has estimated that every hour of customer time spent waiting in line for the sales clerk to become available costs the store $100 in lost sales and goodwill. Customers arrive at the checkout counter at the rate 30 per hou
A study is conducted to estimate the effect of a low-carbohydrate diet on cholesterol level. In this study, participants' cholesterol levels are measured before starting the program and then again after 6 months on the program. The data are shown below. Before Program 210 230 190 215 260 200 After 6 Months 215 240 19
1. Heights of women have a bell shaped distribution with a mean of 161cm and a standard deviation of 6cm. Using Chebyshev's theorem, what do we know about the percentage of women with heights that are within 2 standard deviations of the mean? What are the minimum and maximum heights that are within 2 standard deviations of the m
1. Heights of men on a baseball team have a bell shaped distrubtion with a mean of 172cm and a standard deviation of 7cm. Using that is the empirical rule, what is the approximate percentage of the men between the following values? a) 165 cm and 179cm b) 151cm and 193cm 2. Heights of women have a bell shaped distribution with
I would like the response to the questions below in excel format, so that I can see the formulas used. 10.11 Digital cameras have taken over the majority of the point-and-shoot camera market. One of the important features of a camera is the battery life, as measured by the number of shots taken unit the battery needs to be r
Can you help with this sample question? When computing a t-test, it is important to distinguish between directional and nondirectional hypotheses as the direction will determine the rejection regions. Describe how the rejection regions would differ according to the type of hypothesis you would use. An insurance company ask
Conduct a correlation matrix using the Forbes 500 dataset. Determine which variables have a significant relationship. Select an independent and dependent variables and run a regression analysis. What can you conclude from the findings?
1. Suppose we want to determine the (binomial) probability (p) of getting 8 heads in 10 flips of a 2-sided coin. Using the binomial probability table in the appendix of the text, what values of n, v, and p would we use to look up this probability and what would be the probability? 2. If x is a binomial random variable, use th
(1) In the past, the average age of employees of a large corporation has been 40 years. Recently, the company has been hiring older individuals. In order to determine whether there has been an increase in the average age of all the employees, a sample of 64 employees was selected. The average age in the sample was 45 years with
6. a. Compute the correlation between age in months and number of words known. b. Test for the significance of the correlation at the .05 level of significance. c. Interpret this correlation. (see attached file for data)
Please provide steps to solve. A randomized controlled trial is run to evaluate the effectiveness of a new drug for asthma in children. A total of 250 children are randomized to either the new drug or placebo (125 per group). The mean age of children is assigned to the new drug is 12.4 with standard deviation of 3.6 years. Th
Please provide steps to solve. The mean PEF for children free of asthma is 306. An investigator wants to test whether children with asthma have restricted PEF. A sample of 40 children are studied and their mean PEF is 279 with a standard deviation of 71. Is there statistical evidence of a lower mean in PEF in children with as
Please provide steps to solve the following question. A study is designed to investigate whether there is a difference in response to various treatments I patients with chronic pain. The data are shown below. Are symptoms independent of treatment? Conduct a chi square test at a 5% level of significance. Df = ? Critical val
Please provide steps for the question below: A study is designed to investigate whether there is a difference in response to various treatments for patients with chronic pain. The data is shown below. Is there a statistically significant difference in the proportions of patients who show improvement? Between treatment 1 and
Please provide steps to solve the question below. The following are BMI scores for 12 patients. Generate a 95% confidence interval estimate of the true BMI. 25 27 31 33 26 28 38 41 24 32 35 40 Upper limit of CI: Lower limit of CI:
Please provide steps to solve this question. The mean BMI in patients free of diabetes is 28.2. The investigator hypothesizes that BMI is much higher. Based on the data, is there evidence that BMI is significantly higher than 28.2? Use a 5% level of significance. 25 27 31 33 26 28 38 41 24 32 35 40 Critical Value = t =