Attach ToothGrowth in package datasets. What is the description of this data? (a) How can you inspect the structure of the data to show the first few parts of this data?. (b) The following is a sample from the ToothGrowth data. Describe how this data can be obtained and named Tooth. 2mg. len supp dose 23.6 VC 18.5 VC 33.9 VC 25.5 VC 2 26.4 VC 2 32.5 VC 26.7 VC 21.5 VC 23.3 VC 29.5 VC 25.5 OJ 26.4 OJ 22.4 OJ 24.5 OJ 24.8 OJ 30.9 OJ 26.4 OJ 2 27.3 OJ 29.4 OJ 23.0 OJ (c) Obtain descriptive statistics for Tooth length due to each Supplement type. (d) Construct a histogram for each sample and comment on the distribution. Superimpose the density curve of the data on your histogram. Would you agree to the assertion that both are approximately normally distributed? (e) Are there any outliers in the data? (f) Are the means of the tooth lengths due to each Supplement type (VC or OJ) different? Test at 4% significant level. (g) Comment on your results

Attach ToothGrowth in package datasets. What is the description of this data? (a) How can you inspect the structure of the data to show the first few parts of this data?. (b) The following is a sample from the ToothGrowth data. Describe how this data can be obtained and named Tooth. 2mg. len supp dose 23.6 VC 18.5 VC 33.9 VC 25.5 VC 2 26.4 VC 2 32.5 VC 26.7 VC 21.5 VC 23.3 VC 29.5 VC 25.5 OJ 26.4 OJ 22.4 OJ 24.5 OJ 24.8 OJ 30.9 OJ 26.4 OJ 2 27.3 OJ 29.4 OJ 23.0 OJ (c) Obtain descriptive statistics for Tooth length due to each Supplement type. (d) Construct a histogram for each sample and comment on the distribution. Superimpose the density curve of the data on your histogram. Would you agree to the assertion that both are approximately normally distributed? (e) Are there any outliers in the data? (f) Are the means of the tooth lengths due to each Supplement type (VC or OJ) different? Test at 4% significant level. (g) Comment on your results

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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The Python code for step 7 is needed. Step 6 has been attached for data reference
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I'm not clear on what the Dataset object does.
Describe how the DataSet structure carries out its functions.
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Step 1. Intersection over Union def intersection_over_union(dt_bbox, gt_bbox): ---> return iou Step 2. Evaluate Sample def evaluate_sample(target_pred, target_true, iou_threshold=0.5): ----> return results Step 3. Evaluate Model def evaluate(model, test_loader, device): ---> return auc(recall, precision) Step 4. Train function Now define the functions for training the model. def train_one_epoch(model, train_dataloader, optimizer, device): # YOUR CODE HERE # TRAIN YOUR MODEL ON THE train_dataloader pass def train(model, train_dataloader, val_dataloader, optimizer, device, n_epochs=10): for epoch inrange(n_epochs): model.eval() test_auc = evaluate(model, val_dataloader, device=device) print("AUC ON TEST: {:.4f}".format(test_auc)) model.train() train_one_epoch(model, train_dataloader, optimizer, device=device) #for refrence and data detail go to --->…
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Hi, how could I type down this in R programme? I know you don't have my dataset, but thats not my problem. My problem is what codes I need to use in order to get it to work. (Let's take a look at the package datasets data airquality, which includes New York's air quality measurements from May-September 1973. You can view a more detailed description of the data with the help(airquality, datasets) command.) question: a. Calculate the average values of the temperatures (variable Temp) for each month, and store the results in the vector meantemp. The results must be in the vector in order from May to September. Hint: for example, you can use the aggregate function.b) Store the lowest temperature of each month in the vector mintemp. The temperatures should be in order from May to September.
Could you perhaps explain how the DataSet structure really works?