Your SlideShare is downloading. ×
Hl 1 topic 1 pp notes
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.

Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Hl 1 topic 1 pp notes


Published on

Published in: Technology, Business
  • Be the first to comment

  • Be the first to like this

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 1. HL 1 Topic 1 Complete the following as you read through the PowerPoint on statistical analysis Slide 1 – title slide Slide 2 - 3- What is the mean?- What are error bars?- Error bars can be used to plot…- How do you know that Set A has the largest mean?- How do you know that set B has the greatest variability? Slide 4 - Explain why you would not need the bars for the graph provided. Slide 5 - What is a nectarivore? Give 3 examples of nectarivores. - Define mutualism (use your understanding not Dr. Google’s) - Why would the measurement of bill lengths and body size have any insight on the evolutionary history of a hummingbird? - What is statistical analysis? Slide 6 - Why should the sample size be large? - What do you think is the source of uncertainty and error of measurements? Slide 7 - What is uncertainty? - In digital measuring devised you use _______________ for uncertainty.
  • 2. - Rulers have uncertainty on both ends – explain why. - Analogue (non-digital) measurements are usually what?Slides 8 – 12We will practice the use of excel in class – you can open up an excel document and copy the steps youread on these slides.Slide 13 - The mean is a measure of the…. - What is range? - Explain the differences in the 2 graphs on slide 13.Slides 14 - 16 - How do you calculate the range of data? - How do you explain the presence of the 21 data point? - What does this do to the data?Slide 17 - What is standard deviation? - Explain why this gives us a more reliable view of the true spread of data?Slides 18-19 - Why is C the correct answer?Slides 20-21 - Why is B the correct answer?Slides 22 – 28 - We will go over this in class – you may use an excel doc to practice standard deviation and take out your scientific calculator to practice as well.
  • 3. Slides 29 – 30 - Explain the answer for letter BSlides 31 - 32 - How can significance be discovered? - What defines not likely or likely to be significant?Slides 33 - 34 - What is Range, Standard Deviation, Mean and Frequency? - Why does set A have a higher frequency at the mean?Slide 35 - What is a T-test?Slide 36 - What will a T test tell us? - Which table has the most similarity?Slide 37 - Why start every T-test with a Null Hypothesis? - If T-test accepts or rejects the null hypothesis what are we told?Slides 38 – 40Flip through these 3 slides multiple times. Each time you flip through study the progression of the imageand focus on interpreting the information given in these slides.What P is usually used by Biologists?What does CV stand for?Slides 41 – 46 - What does df stand for?
  • 4. - How do you calculate df? - How did the CV (critical value) get identified? - How did you know that t was 2.15? - How do you know there is a significant difference between wing span?Slide 47 - Why do we reject the null hypothesis is t > cv?Slide 48 - 49 - Explain the acceptance of the Null Hypothesis and how it was acquired?Slides 50-51 - Explain the rejection of the Null Hypothesis and how it was acquired?Slide 52 - Check em out Slides 53 – 56 - We will practice during class – you can use the ecxcel document you’ve been practicing with to practice before class.Slide 57 - Something funSlide 58 - 60 - What are correlations? - Why would the first graph be described as a strong positive?Slide 61 - Why do correlations not prove causality? - What is needed?
  • 5. Slide 62 - I tend to agree with the graph in the upper right.Slide 63 - Check these out Slide 64 - The end! Nice Job!!