It sounds like the issue here is whether the data is continuous or discrete. If that is the case then the recording period is not of concern.
If you are watching a Petri dish and counting the number of colonies on the dish each day then your data would be discrete.
If one the other hand you are watching one colony on a Petri dish and measuring its largest dimension each day in centimetres and fractions of centimetres then your data would be continuous.
Discrete data is essentially data that comes from the set of integers. Theoretically continuous data comes from the set of real numbers; in practice it comes from the set of rational numbers.
It isn't. The time spent would be but the keyword here is "number". Therefore, the number of hours would be an whole number, hence it would be discrete data.
probably orographic bar graph would work the best!
A line graph would be most appropriate to represent flower sales over a week. Line graphs are effective for showing trends and changes over time, making them ideal for tracking sales data across different days of the week. Each point on the graph would represent the sales figures for a specific day, allowing for easy comparison and analysis of the data. Additionally, line graphs can help identify patterns or fluctuations in sales throughout the week.
it will be hot, taste bad and might change colors or grow mold
Different people have different working weeks and, within those days, different best and worst days. Also, the worst days may change from one week to another.
There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.There would be no data for that. Temperatures differ all around the world on any given day, and change during the course of the day, so there is no long term record of temperatures on a particular day of the week basis that could give you that information.
The data collected in the study would likely be quantitative, specifically continuous data, as it involves measuring the amount of alcohol consumed per week. This type of data provides a numerical measurement that can be further analyzed statistically to draw conclusions about participants' drinking habits.
Line charts. This is one of my midterm questions for this week hah .
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!
Anomalous data is data that doesn't fit with the rest of the set. Ex: In week one the tree was 2ft. tall , in week two the tree was 6ft. tall, and in week three the tree was 5ft. tall. Week two would be the anomalous data because it doesn't fit with the other data. I hope this helps!
It isn't. The time spent would be but the keyword here is "number". Therefore, the number of hours would be an whole number, hence it would be discrete data.
She is going to record the song next week.
It is the continuous production of food for emample that is uniform in shape size, and very consistant in products. It operates 24/7, 7 days a week.
data what kind of dataquantitative data.
What are the major teachings about the Kingdom and the Messiah that are revealed in the record of Jesus' last week?
The record for most pages read in a week by a person under sixteen is 20,000 pages.
20 books a week