Su are assessing if men and women differ on both bench press and squat maximum. If you only wanted to run one test statistic, hich ANOVA would you be performing? O2 x 3 ANOVA O 2x 3 ANOVA with repeated measures O 2x 2 ANOVA O 2x2 ANOVA with repeated measures MANOVA OMANOVA with repeated measures QUESTION 10 You want to know which study method works best. You assign students to two groups (1 hour studying per day, cramming) and then give them an exam at the beginning of class (pre-test), a mid-term, and a final. The mid-term and final are the same test as the pre- test. What type of ANOVA would you be performing. 2x 3 ANOVA 2x 3 ANOVA with repeated measures 2 x 2 ANOVA 2 x 2 ANOVA with repeated measures OMANOVA O MANOVA with repeated measures

Su are assessing if men and women differ on both bench press and squat maximum. If you only wanted to run one test statistic, hich ANOVA would you be performing? O2 x 3 ANOVA O 2x 3 ANOVA with repeated measures O 2x 2 ANOVA O 2x2 ANOVA with repeated measures MANOVA OMANOVA with repeated measures QUESTION 10 You want to know which study method works best. You assign students to two groups (1 hour studying per day, cramming) and then give them an exam at the beginning of class (pre-test), a mid-term, and a final. The mid-term and final are the same test as the pre- test. What type of ANOVA would you be performing. 2x 3 ANOVA 2x 3 ANOVA with repeated measures 2 x 2 ANOVA 2 x 2 ANOVA with repeated measures OMANOVA O MANOVA with repeated measures

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Exponential Smoothing is generally more rigorous and accurate due to: Incorporating every previous data point into each forecast. Incorporating the moving average of the previous data points. Incorporating the previous data point only. Incorporating the previous forecast only.
You decide to run a simpler model to predict churn, using only the variables tenure (in months) and TotalCharges (in US$). The output is given below. The AIC of this model is 4727.6 (in contrast to the AIC of 4240 for the full model). On the basis of this which model would be expected to give superior predictive performance? Actual ## Coefficients: ## Estimate Std. Error z value Pr(>|z|) ## (Intercept) 2.471e-01 5.360e-02 4.611 4.01e-06 *** ## tenure < 2e-16 *** -1.124e-01 5.816e-03 -19.334 ## TotalCharges 8.236e-04 5.618e-05 14.660 < 2e-16 *** ## No --- ## Signif. codes: 0 ## Yes Yes ## Null deviance: 5701.5 on 4921 ## Residual deviance: 4721.6 on 4919 ## AIC: 4727.6 515 345 ## (Dispersion parameter for binomial family taken to be 1) ## Predicted ***** No 795 3267 0.001 Confusion Matrix (Training) **** Actual 0.01 Yes No degrees of freedom degrees of freedom Yes The simpler model (with just tenure and TotalCharges) The full model (with all variables) 0.05 0.1 220 145 Predicted No 339…
You are building a classification model to predict whether a firm will go bankrupt within the next 5 years. When you collect the data, you find that the number of instances of firms that went bankrupt is smaller than the number of cases of firms that did not go bankrupt. Specifically, only 7% of the firms went bankrupt, while the rest did not go bankrupt. Once you build the classification model, you need to compare performance against a baseline. Which of the following would be an appropriate baseline? O Always predicting that the firm does not go bankrupt O Making a prediction that a firm goes bankrupt with 7% probability O Always predicting that the firm goes bankrupt Making a prediction from the set (bankrupt, not bankrupt) with equal probability
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The table below shows the prediction results from Logistic Regression, which gives results in the range 0 − 1, find the TP, TN, FP, FN, TPR, and FPR for each threshold from 0.1 to 0.9
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The price of a certain combo meal at different franchises of a national fast food company varies from $5.00 to $17.38 and has a known standard deviation of $2.13. A sample of 29 students in an online course that includes students across the country stated that their average price is $5.75. The students have also stated that they are generally unwilling to pay more than $6.50 for this meal. Formulate and conduct a hypothesis test to determine if you can conclude that the population mean is less than $6.50. Use a level of significance of 0.05. Is there sufficient evidence at the 0.05 level of significance that the population mean is less than $6.50? Determine the null hypothesis, Ho, and the alternative hypothesis, H,. Họ: H 6.50 < 6.50 (Type integers or decimals. Do not round.) Compute the test statistic. - 1.90 (Round to two decimal places as needed.) Find the p-value for the test. (Round to three decimal places as needed.)