MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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How do you calculate the sum of squares between subjects in an ANOVA without any
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- Transforming raw scores into z scores allows researchers toarrow_forwardA union of restaurant and foodservice workers would like to estimate the mean hourly wage, u, of foodservice workers in the U.S. this year The mean hourly wage last year was $8.08, and there is good reason to believe that this year's value is different from last year's. The union decides to do a statistical test to see if the value has indeed changed. The union chooses a random sample of this year's wages, computes the mean of the sample to be $7.78, and computes the standard deviation of the sample to be $1.20. Based on this information, complete the parts below. (a) What are the null hypothesis H. and the alternative hypothesis H₁ that should be used for the test? H₂ : O H₁ :0 (b) Suppose that the union decides not to reject the null hypothesis. What sort of error might it be making? (Choose one) ▼ (c) Suppose the true mean hourly wage for foodservice workers in the U.S. this year is $8.08. Fill in the blanks to describe a Type I error. A Type I error would be (Choose one) when, in…arrow_forwardDoes having a non-significant P-value means that the means of the sample will be the same? explainarrow_forward
- - How do you know if a sample is significant different from the population mean? In other words, whatstatistics will tell you if your results are statistically significant? -What does “statistically significant” mean?arrow_forwardWhat does it mean to say that there is a 1% chance of a Type I error?arrow_forwardWhat is the effect of an increase in variance of the different scores in repeated measure designarrow_forward
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- Explain with the help of example ONE-FACTOR ANOVA.arrow_forwardWhy are z scores useful, rather than just trying to interpret raw scores?arrow_forwardA study aims to compare the social media usage rates of men and women. Nine men and 9 women are drawn from the general population and the average time (in minutes) they spent on social media each day was compared (men’s mean = 40, sum of squares = 153; women’s mean = 48, sum of squares = 216). What is the (a) estimated population variance for each random sample, and (b) pooled variance? Estimated population variances = 19.13 and 27.00; Pooled variance = 23.07 Estimated population variances = 19.13 and 27.00; Pooled variance = 20.50 Estimated population variances = 17.00 and 24.00; Pooled variance = 20.50 Estimated population variances = 17.00 and 24.00; Pooled variance = 23.07arrow_forward
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