Weather Data Analysis and Interpretation

Scientist Kate guides students through a lesson on understanding climate through data. The lesson reviews bar graphs, compares climates of different cities, and explores long-term climate patterns using historical data. Students learn to make predictions about future weather conditions, emphasizing the importance of studying many years of data for accurate predictions. The lesson concludes with a focus on selecting the best location for an orangutan reserve based on climate data.

What type of graph did the class use to organize data about the durian fruit?

• Line graph

• Pie chart

• Bar graph

• Scatter plot

What is the purpose of the x-axis on a bar graph?

• To indicate the scale

• To display the title

• To list months

• To show temperature

What does a bar graph typically use to represent a month?

• Exact daily temperatures

• Average temperature

• Highest temperature

• Lowest temperature

Which city had a bar graph pattern that dipped down like a hole?

• Anchorage

• Queensland

• St. Petersburg

• Seattle

How many years of weather data were analyzed for Anchorage, Alaska?

• 20 years

• 10 years

• 30 years

• 50 years

What is the main difference between weather and climate?

• Weather is predictable, climate is not

• Weather is always hot, climate is always cold

• Weather is short-term, climate is long-term

• Weather is long-term, climate is short-term

What was the range of temperatures in January for Anchorage over the years studied?

• 0 to 10 degrees

• 15 to 25 degrees

• 9 to 19 degrees

• 20 to 30 degrees

What is the significance of finding a pattern in weather data over many years?

• It predicts the next storm

• It shows the hottest day of the year

• It determines the climate of a place

• It helps in predicting daily weather

Why is it important to study many years of weather data for the orangutan reserve?

• To find the hottest day

• To ensure a long-term suitable climate

• To predict the next storm

• To find the coldest month

What should you do if you want to predict future temperatures using past data?

• Look at the hottest day

• Find the range of temperatures

• Check the coldest month

• Use a pie chart