The property manager for an apartment building wants to see which pizza delivery company delivers to the building the fastest. Since every visitor needs to sign in to access the building, the manager has a list of every pizza delivery made in the last 6 months. She wants to take a random sample of deliveries from each company and compare the average time until the pizza arrived to the building. 1. The property manager decides to split the deliveries by floor. She then randomly selects 5 deliveries from each. What type of sample is this? 2. She uses the first twenty deliveries on the list as her sample. What type of sample is this? 3. The property manager decides to make a graph and/or a table from her sample of 15 wait times. Which of the following graphs would be appropriate for her data? Select all that apply: - Bar Chart -Frequency Table -Box plot -Pie Chart -Histogram -Stem and Leaf Plot -Cumulative Relative Frequency Table -Scatterplot

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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The property manager for an apartment building wants to see which pizza delivery company delivers to the building the fastest. Since every visitor needs to sign in to access the building, the manager has a list of every pizza delivery made in the last 6 months. She wants to take a random sample of deliveries from each company and compare the average time until the pizza arrived to the building. 1. The property manager decides to split the deliveries by floor. She then randomly selects 5 deliveries from each. What type of sample is this? 2. She uses the first twenty deliveries on the list as her sample. What type of sample is this? 3. The property manager decides to make a graph and/or a table from her sample of 15 wait times. Which of the following graphs would be appropriate for her data? Select all that apply: - Bar Chart -Frequency Table -Box plot -Pie Chart -Histogram -Stem and Leaf Plot -Cumulative Relative Frequency Table -Scatterplot
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Introduction

Sampling is a technique which is used to take the sample from the population. Sampling has broadly classified as probability sampling and non probability sampling. There are four types of probability sampling, they are simple random sampling, cluster sampling, stratified random sampling and systematic random sampling. There are four types of non probability sampling, they are purpose sampling, convenience sampling, quota sampling and snowball sampling. 

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