karthikeyathatipamula18025

karthikeyathatipamula18025

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karthikeyaUniversity of Mumbai

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Architecture2Project Management2History3Law1Management4English21Anthropology1Astronomy1Business7Marketing1Science9Nursing1Psychology3Communications4Ethics1Information Technology8Algebra5Engineering2Computer Science5Accounting2Calculus3Biology3Mathematics2Statistics2Physics7Finance18Economics1Chemistry7
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                        6 of 202     assignment 158     School ITD Canada         Michael Banville <[email protected]> Mar 23, 2023, 4:20 PM (11 days ago)     to Farid           Hello Farid.   Here's my assignment 158.    Regards. Michael Banville       4 Attachments • Scanned by Gmail                     Michael Banville   Mar 30, 2023, 9:14 AM (4 days ago)   ---------- Forwarded message --------- From: Michael Banville <[email protected]> Date: Thu, Mar 23, 2023 at 4:20 PM Subject: assignment 158 To: Farid   Farid Vahedi   Mar 30, 2023, 9:39 AM (4 days ago)   Hi Mike, The project you have submitted is missing a long list of the requirements of the assigned project. What is submitted at this point is about 15% of what   Michael Banville <[email protected]> Mar 30, 2023, 12:38 PM (4 days ago)     to Farid           Thank you, I will do that.      ReplyForward                                                                             #include <stdio.h> #include <stdlib.h> #include <string.h> // Define the encryption methods for each item category int encrypt_method[] = { 1, 2, 1, 3, 3, 5, 5, 5, 6, 7, 7, 4 }; // Define the durable life period for each item category in days int life_period[] = { 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130 }; // Define the sale promotion percentage for each item category int promotion[] = { 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 }; // Define the regular price for each item category float regular_price[] = { 12.50, 10.20, 8.75, 6.99, 18.99, 15.55, 11.79, 9.99, 7.25, 5.49, 13.99, 23.99 }; // Define the items bought by the customer int bought_items[] = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 }; // Define the items returned by the customer int returned_items[] = { 3, 7, 11 }; int main() { char barcode[20]; int i, j; float price, sale_price, total_price = 0.0; // Generate barcodes for each item and print the receipt printf("Receipt:\n"); for (i = 0; i < 12; i++) { // Encrypt the barcode using the appropriate encryption method switch (encrypt_method[i]) { case 1: sprintf(barcode, "ABC%d", bought_items[i]); break; case 2: sprintf(barcode, "DEF%d", bought_items[i]); break; case 3: sprintf(barcode, "GHI%d", bought_items[i]); break; case 4: sprintf(barcode, "JKL%d", bought_items[i]); break; case 5: sprintf(barcode, "MNO%d", bought_items[i]); break; case 6: sprintf(barcode, "PQR%d", bought_items[i]); break; case 7: sprintf(barcode, "STU%d", bought_items[i]); break; default: sprintf(barcode, "UNK%d", bought_items[i]); break; } // Calculate the sale price of the item based on the promotion percentage sale_price = regular_price[i] * (1 - promotion[i] / 100.0); // Check if the item was returned and adjust the total price accordingly for (j = 0; j < 3; j++) { if (returned_items[j] == bought_items[i]) { total_price -= sale_price; break; } } // Add the sale price of the item to the total price total_price += sale_price; // Print the barcode and sale price of the item printf("%s %.2f\n", barcode, sale_price); } // Print the total price of the items purchased printf("Total: %.2f\n", total_price); // Print the total price of the items bought printf("Total price: $%.2f\n", total_price); // Get user input for product information char name[50]; char category; char manufacturer[50]; float purchased_price; sale_price; int quantity; char purchase_date[11]; char production_date[11]; char expiry_date[11]; int store_code; char currency[4]; printf("\nEnter the name of the product: "); scanf("%s", name); printf("Enter the category: "); scanf(" %c", &category); printf("Enter the company/manufacturer name: "); scanf("%s", manufacturer); printf("Enter the purchased price: "); scanf("%f", &purchased_price); printf("Enter the sale price: "); scanf("%f", &sale_price); printf("Enter the quantity of purchased items: "); scanf("%d", &quantity); printf("Enter the date of purchase (yyyy-mm-dd): "); scanf("%s", purchase_date); printf("Enter the date of production (yyyy-mm-dd): "); scanf("%s", production_date); printf("Enter the expiry date (yyyy-mm-dd): "); scanf("%s", expiry_date); printf("Enter the store code: "); scanf("%d", &store_code); printf("Enter the currency of the country: "); scanf("%s", currency); // Encrypt the necessary fields to generate the barcode // Print the barcode printf("Barcode: %s\n", barcode); // Determine the discount and print the tag color float discount_percentage = (1.0 - (sale_price / purchased_price)) * 100.0; if (discount_percentage > 20) { printf("Tag color: Red\n"); } else if (discount_percentage > 10) { printf("Tag color: Yellow\n"); } else { printf("Tag color: Green\n"); } return 0; }
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A group of linguists tested how listeners perceived accents after hearing biased comments about a person’s speech. The participants in the experiment were English speakers living in Montreal, where both English and French are spoken, and participants rated recordings of local French speakers on their L2 English. The listeners were tested with three types of comments about the recordings: one group heard no comments (baseline), one group heard comments that were positive about local French speakers’ English, and one group heard negative comments about their English. The researchers hypothesized that hearing positive comments would lead to higher ratings for the French speakers’ English, and that hearing negative comments would lead to lower ratings.

Dataset: attitudes-fall2022.txt.

Columns: participant is a number identifying the participant. rating is the mean rating a participant gave, bias_group is the group they were in, and age is their age bracket.

Part A (SA5): Load the dataset attitudes-fall2023.txt into the variable sa5 and then compute the following.

1. For each level of bias_group, compute the mean and standard deviation of the rating for that group. Store these as sa5.negative.mean, sa5.baseline.mean, sa5.positive.mean, sa5.negative.sd, and so on.

2. Now for each combination of bias_group and age, compute the mean and standard deviation of the rating. Name the variables as sa5.older.negative.mean, sa5.younger.negative.mean, sa5.younger.baseline.sd, and so on (e.g. the format is sa5.AGE.BIAS_GROUP.STATISTIC).

3. Compute an ANOVA to test if there is a main effect of bias_group on rating. (In other words, does the rating depend on the group participants were in?) Assume that the observations are independent. Store the result of your computation in sa5.anova1.

4. Conduct a post-hoc test using TukeyHSD() to show which levels of bias_group (if any) exhibit the effect. Store the results in sa5.anova1.posthoc.

5. Compute an ANOVA to test if there is a main effect of bias_group and age on rating, and an interaction between bias_group and age. Assume that the observations are independent. Store the result of your computation in sa5.anova2.

6. Conduct a post-hoc test using TukeyHSD() on the results of your ANOVA. Store the results in sa5.anova2.posthoc.

7. Compute an ANOVA to test if there is a main effect of bias_group and age on rating, and an interaction between bias_group and age. The observations are not independent, so you’ll need to use a repeated measures ANOVA this time, with participant as the subject variable. Store the result of your computation in sa5.anova3.

8. Finally, let’s try to compute a mixed ANOVA. In a mixed ANOVA, at least one independent variable is presented within-subjects, and at least one independent variable is presented between-subjects. In this experiment, age is a between-subjects variable, while bias_group is a within-subjects variable. Store your result in sa2.anova3. 

 



Part B:

Using your computations from part A (the previous section), answer the following questions.

1. Produce a boxplot to visualize the relationships between the different levels of bias_group. Remember to adequately label your plot.

2. Report the result of your one-way classic ANOVA (stored as sa5.anova1).

3. Produce an interaction plot to visualize any interactions between the effects of group and age on ratings. Use bias_group as your trace factor, age as your x factor, and rating as your response. Remember to adequately label your plot.

4. Produce a table to present the means of all the groups in the data. Along the top should be the names of the bias groups, and along the left should be the name of the age groups. The following is a starting point:

                    Baseline                           Positive                           Negative

Old

Young

 

5. Report the result of your two-way classic ANOVA (stored as sa5.anova2).

6. Report the result of your two-way mixed ANOVA (stored as sa5.anova3). 


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