Data and Statistics For Business and Economics Assignment

Assignment Task

According to the graph, the most commonly occurring exchange is OTC, which has a count of 17 records, representing 68% of the total dataset. AMEX is the second most common exchange with a count of 5 records, representing 20% of the dataset. NYSE is the least common exchange with a count of 3 records, representing 12% of the dataset.

Overall, the bar graph suggests that the majority of records in the dataset are traded on the OTC exchange.

The most common recoded gross profit range is 30 to 44.9, with 8 records, representing 32% of the dataset. The second most common range is 15 to 29.9, with 6 records, also representing 24% of the dataset. The least common range is 60 to 74.5, with only 3 records, representing 12% of the dataset.

The median Price to Earnings Ratio is 18.70, which represents the middle value in the dataset when arranged in ascending or descending order. Half of the data points in the dataset have a ratio less than or equal to 18.70 and the other half of the data points have a ratio greater than or equal to 18.70.

The mode of the Price to Earnings Ratio is not provided, as there is no value that occurs more frequently than any other value in the dataset.

The N for mode is 0. Overall, the mean, median, and maximum values for the Price to Earnings Ratio suggest that the dataset is relatively normally distributed, with no extreme outliers. The absence of a mode indicates that the values in the dataset are relatively evenly distributed.

The "Items" set has 11 categories (1-10, 13, 17), with counts ranging from 1 to 29. The percent frequency distribution for this set shows the percentage of items that fall into each category, for example, category 1 has a count of 29, which represents 29% of the total items.

The "Net Sales" set also has 11 categories (18-28, 30-64, 66-71), with counts ranging from 1 to 4. The percent frequency distribution for this set shows the percentage of net sales that fall into each category, for example, category 18 has a count of 4, which represents 4% of the total net sales.

The highest bill in the dataset has a net sale of 287.59, and there are ten items with totaled up to make this amount. Around 50% of people buy 2 or less items when they purchase from the store.

From this data, it can be seen that the majority of customers (70 out of 100) used a proprietary card as their method of payment.

This indicates that the in-store discount coupons were very popular among the people who visited the store. MasterCard is the second most popular method of payment with 14 out of 100 customers using it. This is a widely accepted credit card brand and it's not uncommon for businesses to see a large number of customers using it. Visa is the third most popular method of payment with 10 out of 100 customers using it.

Discover and American Express are the least popular methods of payment, with only 4 and 2 customers respectively using them. Overall, the data suggests that customers prefer using proprietary cards or widely accepted credit card brands as their method of payment.

The total gross sales variable shows the total revenue generated by each movie during its entire run in theaters. From the summary statistics, we can see that the total gross sales range from $0.65 million for movie R to $381.01 million for movie A, indicating a wide range of revenue generation across the movies. The mean of the total gross sales is $168.35 million, which is slightly lower than the mean of the opening gross sales variable. The median total gross sales value is $186.59 million, which is higher than the median of the opening gross sales variable.

This suggests that while there are some movies that have very high opening gross sales, there are also movies that may have a slower start but end up generating significant revenue over time.

The number of theaters variable indicates the number of theaters where each movie was released. From the summary statistics, we can see that the number of theaters range from 3,386 for movie T to 4,375 for movie A. The mean number of theaters is 3,761.8, indicating that the movies in the dataset were released in an average of 3,761.8 theaters.

The median number of theaters is 3,678, which is slightly lower than the mean. This suggests that there may be a few movies that were released in a smaller number of theaters, pulling down the mean value.

Covariance

In this case, the covariance between Media Expenditure and Shipments in BBL is positive, which means that as Media Expenditure increases, Shipments in BBL also tend to increase, and vice vers

The data has no outliers as all the z-scores are lie in between +3.0 and -3.0, the data does look like normally distributed as the data is symmetrical in nature with very little to no skewness.

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