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

265

Published on

Published in: Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
265
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 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!!

×