The World Health Organization declared the novel coronavirus (COVID-19) outbreak a global pandemic on March 11, 2020. How did population movement change before and after the COVID-19 pandemic was declared? The United States' Bureau of Transportation has collected data that can help answer this question. In this activity we will focus on traveling patterns in the state of New York during 2019 and the first three seasons of 2020. The dataset consists of variables for the state of New York including the month the data were collected, a season year label, and the number of trips less than 1 mile from one's home as measured by a mobile device's movement. A trip is defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Movements with multiple stays of longer than 10 minutes before returning home are counted as multiple trips. The months January, February, and March are categorized as winter; the months April, May and June are categorized as spring; the months July, August, and September are categorized as summer; and the months October, November, and December are categorized as fall. The first five rows of the data look like this. Month Season Year Number of Trips <1 mile January Winter 2019 18,317,662 January Winter 2019 22,450,364 January Winter 2019 22,743,630 January Winter 2019 22,718,147 January Winter 2019 21,872,755 Import the dataset into SALT for analyzing. A USE SALT We will use SALT to summarize the variable number of trips less than 1 mile. Click on the "Descriptive Statistics" tab along the top menu bar. CENGAGE SALT: Statistizal Analysis and Learning DATASET DESCRIPTIVE STATISTICS CHARTS AND GRAPHS Locate the "Summary Table" for "Numerical Variables" and read this table. Summary Table Numerical Variables Enter the sample size, N, and the five-number-summary for the variable "Number of trips <1 mile" in the appropriate cell of the table below. Variable Minimum Value Q1 (First Quartile) Median Q3 (Third Quartile) Maximum Value N Number of trips <1 mile
The World Health Organization declared the novel coronavirus (COVID-19) outbreak a global pandemic on March 11, 2020. How did population movement change before and after the COVID-19 pandemic was declared? The United States' Bureau of Transportation has collected data that can help answer this question. In this activity we will focus on traveling patterns in the state of New York during 2019 and the first three seasons of 2020. The dataset consists of variables for the state of New York including the month the data were collected, a season year label, and the number of trips less than 1 mile from one's home as measured by a mobile device's movement. A trip is defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Movements with multiple stays of longer than 10 minutes before returning home are counted as multiple trips. The months January, February, and March are categorized as winter; the months April, May and June are categorized as spring; the months July, August, and September are categorized as summer; and the months October, November, and December are categorized as fall. The first five rows of the data look like this. Month Season Year Number of Trips <1 mile January Winter 2019 18,317,662 January Winter 2019 22,450,364 January Winter 2019 22,743,630 January Winter 2019 22,718,147 January Winter 2019 21,872,755 Import the dataset into SALT for analyzing. A USE SALT We will use SALT to summarize the variable number of trips less than 1 mile. Click on the "Descriptive Statistics" tab along the top menu bar. CENGAGE SALT: Statistizal Analysis and Learning DATASET DESCRIPTIVE STATISTICS CHARTS AND GRAPHS Locate the "Summary Table" for "Numerical Variables" and read this table. Summary Table Numerical Variables Enter the sample size, N, and the five-number-summary for the variable "Number of trips <1 mile" in the appropriate cell of the table below. Variable Minimum Value Q1 (First Quartile) Median Q3 (Third Quartile) Maximum Value N Number of trips <1 mile
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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Transcribed Image Text:The World Health Organization declared the novel coronavirus (COVID-19) outbreak a global pandemic on March 11, 2020. How did population movement change before and after the
COVID-19 pandemic was declared? The United States' Bureau of Transportation has collected data that can help answer this question. In this activity we will focus on traveling
patterns in the state of New York during 2019 and the first three seasons of 2020.
The dataset consists of variables for the state of New York including the month the data were collected, a season year label, and the number of trips less than 1 mile from one's home
as measured by a mobile device's movement. A trip is defined as movements that include a stay of longer than 10 minutes at an anonymized location away from home. Movements
with multiple stays of longer than 10 minutes before returning home are counted as multiple trips. The months January, February, and March are categorized as winter; the months
April, May and June are categorized as spring; the months July, August, and September are categorized as summer; and the months October, November, and December are
categorized as fall.
The first five rows of the data look like this.
Month Season Year
Number of Trips <1 mile
January
Winter 2019
18,317,662
January
Winter 2019
22,450,364
January
Winter 2019
22,743,630
January
Winter 2019
22,718,147
January
Winter 2019
21,872,755
Import the dataset into SALT for analyzing.
A USE SALT
We will use SALT to summarize the variable number of trips less than 1 mile.
Click on the "Descriptive Statistics" tab along the top menu bar.
CENGAGE SALT: Statistizal Analysis and
Learning
DATASET
DESCRIPTIVE STATISTICS
CHARTS AND GRAPHS
Locate the "Summary Table" for "Numerical Variables" and read this table.
Summary Table
Numerical Variables
Enter the sample size, N, and the five-number-summary for the variable "Number of trips <1 mile" in the appropriate cell of the table below.
Variable
Minimum Value
Q1 (First Quartile)
Median
Q3 (Third Quartile) Maximum Value
N
Number of trips <1 mile
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