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MGSC 291 - Hendrix - Test 1 With Questions And 100% ALL DETAILED CORRECT ANSWERS $10.49   Add to cart

Exam (elaborations)

MGSC 291 - Hendrix - Test 1 With Questions And 100% ALL DETAILED CORRECT ANSWERS

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  • Course
  • International Economics
  • Institution
  • International Economics

MGSC 291 - Hendrix - Test 1 With Questions And 100% ALL DETAILED CORRECT ANSWERS

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  • August 21, 2024
  • 7
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • International Economics
  • International Economics
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MGSC 291 - Hendrix - Test 1 With Questions And 100% ALL DETAILED
CORRECT ANSWERS

Practice questions for this set




A real estate agent has a chance to list an expensive home. She wants to be very careful in
2 setting the price so she pulls the sales records for all similar homes sold in the area in the past

, Terms in this set (71)

How many rows of ATM transaction data do you Highlighting the specific data in a column will give you the count, or you can do some row math.
have? Note: This asks for the number of
observations (n), not the row number.

Be sure you always check! Data should be complete (not missing any values), correct (not
Check and clean your data. Did you find any
miscoded), and formatted correctly (numbers, text, etc.). This data is not yet ready to be analyzed if it
problems?
hasn't been carefully inspected!




How many transactions (#) occurred between 8:00 Sorting based on Hour (after making sure your data is clean) is one way to solve this.
am and 10:59 am in total, across all 3 locations?
(Whole number)

Based on the data, which of the following is a Since you have the data, the empirical probability can be calculated as the (# of data points that
reasonable estimate for the probability (%) that a meet the criteria) / (total number of withdrawals in the data).
randomly selected WITHDRAWAL amount is MORE
than $85? (XX.X)

How many DEPOSITS (#) were made on a Take both the transaction type and day into account. Here, again, make sure you've checked the
Wednesday? (Whole number) original data for entry errors.

What was the average DEPOSIT amount ($) made Take both the transaction type and day into account. Here, again, make sure you've checked the
on Sunday? (XXX.XX) original data for entry errors.

What are the dimensions of the "wine" dataframe? dim(wine) or nrow(wine) and ncol(wine)



MGSC 291 - Hendrix - Test 1

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