Joined: 10 Jul 2019
The exercises for this week required that the student compute a chi-square test as well as a nonparametric test of some hypothesis. The exercises in this paper are on page 328 , 343 and 354 from the SPSS textbook by Salkind and Green. In these exercises, the learner demonstrates the understanding and experience gained from class on conducting Mann-Whitney tests and chi-square tests on a given sample. Chi-square tests are very helpful when it comes to qualitative groupings where we want to have one or more categories (Green & Salkind, 2011).The chi-square test will take place to find out if potato chips test better when fried using canola oil, animal fat or baked. The second Mann-Whitney test was on finding out the correlation between hair color and social extroversion. The non-parametric test is, however, possesses lower statistical influence compared to the corresponding parametric procedure (Boslaugh & Watters, 2008).
PG 328: Exercise 1-4 (Chi-square test)
The observed frequency for one sample t-test
Method of cooking potato chips
Observed N Expected N Residual
Fried in animal fat 7 16.0 -9.0
Fried in Canola oil 33 16.0 17.0
Baked 8 16.0 -8.0
The table above shows that a significant value exists at for X2 (2, N = 4, and it is 27.13. The means that the observed frequency of chips fried in canola oil of 33 exceeds the values of the anticipated frequency that is 16. On the other hand, the observed frequency of chips fried using animal fat is seven while the one for baked was 8 (n = . These values are less than the anticipated frequency that is 16. Below is a follow-up one-sample chi-square test to demonstya5trateb the results are not dependent on the type of cooking using varying proportions.
Number who preferred each type of chip
Observed N Expected N Residual
7 7 16.0 -9.0
8 8 16.0 -8.0
33 33 16.0 17.0
The above table demonstrates that the indvidualst6ahqt preferred chips cooked with canola oil and those who preferred the chips fried with animal fat vary greatly. The chance value of the former is 0.33 while the chance value for the latter is 0.67. The value of X2 as per the results is also 27.12, and the p value is less than 0.01 (P
Total Views: 20Word Count: 1119See All articles From Author
Most of us want a good credit report to obtain automobile financing, credit cards, and to purchase a home. But, beyond these consumer loans, your credit report can cost you in everyday living expenses. What you don't know about your credit could be costing you money.
Having a credit card means that you can order tickets, rent a car, and reserve hotel rooms. Besides these conveniences, your credit report can mean that you must pay higher deposits and fees for everyday services.
Did you know that your credit history can keep you from getting utility connections, good telephone rates, the best auto insurance, home owner's insurance, or even keep you from getting hired?
Some utility companies set minimum standards for service connections. If your report shows collection accounts for prior utility bills, you may not be eligible for service at all. And if utility companies do agree to connect your service, you'll need to pay a higher deposit than another customer with good credit who may not need to make any deposit.
The same requirements exist for telephone services. People with a good credit history don't need to pay deposits for home telephone or cell phone services. When we first got a cell phone with poor credit scores, we had to pay a $300 deposit, for one cell phone. After fixing our credit, we got eight cell phones for our business, with zero deposits.
What many people don't realize is that good credit enables them to get better insurance rates. High-quality, low-cost home owners' insurance, auto, and life insurance companies set minimum credit standards for their policy holders; this means that consumers with poor credit have to pay more for less coverage. Many automobile insurance companies now base your monthly premiums on your credit score; these companies offer a 17% discount if your score is over 625 and a 25% discount if your score is over 725. Why? Because according to their studies, people who are careful with their credit are also careful with their property and careful drivers.
Bad credit can cost you a job. More and more employers run an applicant's credit report and hire the person with better credit, assuming that better credit equals better integrity and character. A friend of mine with a Master's Degree and a 4.0 grade average did not get hired; she was told her credit score didn't meet their minimum standard and that they hired another person with less education.
Poor credit scores means you pay more for your home financing. Mortgages cost more in upfront fees and interest rates for those with low credit scores. How much can you save? A mortgage loan of $150,000, 30-year, fixed-rate mortgage, interest rate of about 5.72 percent costs around $870 a month; poor credit scores raise the interest rate over 9 percent and the payments over $1,200. As you see from these payment differences, good credit means that you can finance a more expensive house with the same income, or save $330 each month.
Boost your credit score so you can save money on everyday expenses, get high-quality insurance, and the best mortgage financing.
(c) Copyright 2005 Jeanette J. Fisher. All rights reserved.
Jeanette Fisher, author of "Credit Help! Get the Credit You Need to Buy Real Estate," is on a one woman mission to help people buy their dream home or finance multiple investment properties. Jeanette teaches real estate investing and interior design psychology. For help with your credit, visit the Real Estate Credit Help Center at