A population has a mean of µ = 20. A sample is selected from this population and a treatment is administered to each individual in the sample. The scores from this sample are summarized as follows: n = 16 ,X = 28 ,s2 = 64. Do the sample data support the conclusion that the treatment has a significant effect? Test with α

You are a consumer psychologist interested in holiday spending. A national census reports that the American family spent an average of u = $81 for Halloween candy and costumes last year. A sample of N = 16 families this year produced a mean of $85 with s = 20. Using at-test single sample, what is your df?

I am struggling in my Psyc 300 Statistic class.  I seem to have missed a concept early in our class and now the following homework problem has left me lost. One Sample t-test 1. A professor wants to know whether her students’ GPAs differ from the entire student population at the University (  She records 20 of her students’ GPAs and compares the mean (  = 3.25, sd = 0.85) to the population, predicting that her students will have different GPAs than the University population. Using an alpha of .05, perform an appropriate t- test.   Hypothesis:                                                tthreshold= df = tobs = Conclusion:

You are thinking about opening a restaurant and are searching for a good location. From research you have done, you know that the mean income of those living near the restaurant must be over $85,000 to support the type of upscale restaurant you wish to open. You decide to take a simple random sample of 50 people living near one potential location. Based on the mean income of this sample, you will perform a test of Ho : μ = $85,000 Haμ> $85,000 where is the true mean income in the population of people who live near the restaurant. Which of the following is not true regarding Type I and Type II errors in this setting? All of these statements are true. A possible consequence of a Type I error here is you may open your restaurant in a location where the residents will not be able to support it, so your restaurant may go out of business. A Type I error occurs when you find convincing evidence that the mean income of all residents near the restaurant exceeds $85,000 when in reality it does…