A few of fellow classmates in lab made similar observations as you. They made wet mounts of Blepharisma and measured their diameters at the beginning of lab and at the end. Knowing that the water would evaporate over time, thev wanted to see if the diameters of the Blepharisma would significantly increase over time. Their collected data can be seen below: Area to the right (a) 0.05 0.10 0.025 0.01 0.005 0.001 0.0005 df 0.20 1 1.376 1.963 3.078 6.314 12.71 31.82 63.66 318.3 2 1.061 1.386 1.886 2.920 4.303 6.965 9.925 22.33 31.60 3 0.978 1.250 1.638 2.353 3.182 4.541 5.841 10.21 40.941 1.190 1.533 2.132 2.776 3.747 4.604 7.173 8.610 5 0.920 1.156 1.476 2.015 2.571 3.365 4.032 5.893 6.869 6 0.906 1.134 1.440 1.943 2.447 3.143 3.707 5.208 5.959 70.896 1.119 1.415 1.895 2.365 2.998 3.499 4.785 5.408 8 0.889 1.108 1.397 1.860 2.306 2.896 3.355 4.501 9 0.883 1.100 1.383 1.833 2.262 2.821 3.250 4.297 Time 1 Width Time 2 Width 0.15 636.6 (um) (um) 12.92 50 25 30 20 40 30 5.041 4.781 1. 69m s) Based on the group's research interests, what would be an appropriate a.eernative hypothesis? Null hypothesis? How many tails should a t-test for their data have? 2. many what is the mean width at Time 1? Time 2? Time 1: Time 2: 3. 2. ) Suppose the group measured the widths at an additional Time 3, how many t- tests would they need to conduct in order to compare all of the data? 4. to 299) Using the provided Pooled Variance formula, what would be the value of the numerator for the data set above? How many degrees of freedom would a t-test for this data set have? 6. 5. 6. H Nhat is the value of the Pooled Variance for this data set? 7. ees oif Jsing the formula provided, what is the value of the t-test statistic for this data seu?
A few of fellow classmates in lab made similar observations as you. They made wet mounts of Blepharisma and measured their diameters at the beginning of lab and at the end. Knowing that the water would evaporate over time, thev wanted to see if the diameters of the Blepharisma would significantly increase over time. Their collected data can be seen below: Area to the right (a) 0.05 0.10 0.025 0.01 0.005 0.001 0.0005 df 0.20 1 1.376 1.963 3.078 6.314 12.71 31.82 63.66 318.3 2 1.061 1.386 1.886 2.920 4.303 6.965 9.925 22.33 31.60 3 0.978 1.250 1.638 2.353 3.182 4.541 5.841 10.21 40.941 1.190 1.533 2.132 2.776 3.747 4.604 7.173 8.610 5 0.920 1.156 1.476 2.015 2.571 3.365 4.032 5.893 6.869 6 0.906 1.134 1.440 1.943 2.447 3.143 3.707 5.208 5.959 70.896 1.119 1.415 1.895 2.365 2.998 3.499 4.785 5.408 8 0.889 1.108 1.397 1.860 2.306 2.896 3.355 4.501 9 0.883 1.100 1.383 1.833 2.262 2.821 3.250 4.297 Time 1 Width Time 2 Width 0.15 636.6 (um) (um) 12.92 50 25 30 20 40 30 5.041 4.781 1. 69m s) Based on the group's research interests, what would be an appropriate a.eernative hypothesis? Null hypothesis? How many tails should a t-test for their data have? 2. many what is the mean width at Time 1? Time 2? Time 1: Time 2: 3. 2. ) Suppose the group measured the widths at an additional Time 3, how many t- tests would they need to conduct in order to compare all of the data? 4. to 299) Using the provided Pooled Variance formula, what would be the value of the numerator for the data set above? How many degrees of freedom would a t-test for this data set have? 6. 5. 6. H Nhat is the value of the Pooled Variance for this data set? 7. ees oif Jsing the formula provided, what is the value of the t-test statistic for this data seu?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:A few of fellow classmates in lab made similar observations as you. They made wet mounts of
Blepharisma and measured their diameters at the beginning of lab and at the end. Knowing that
the water would evaporate over time, thev wanted to see if the diameters of the Blepharisma
would significantly increase over time. Their collected data can be seen below:
Area to the right (a)
0.05
0.10
0.025 0.01
0.005 0.001 0.0005
df 0.20
1 1.376 1.963 3.078 6.314 12.71 31.82 63.66 318.3
2 1.061 1.386 1.886 2.920 4.303 6.965 9.925 22.33 31.60
3 0.978 1.250 1.638 2.353 3.182 4.541 5.841 10.21
40.941 1.190 1.533 2.132 2.776 3.747 4.604 7.173 8.610
5 0.920 1.156 1.476 2.015 2.571 3.365 4.032 5.893 6.869
6 0.906 1.134 1.440 1.943 2.447 3.143 3.707 5.208 5.959
70.896 1.119 1.415 1.895 2.365 2.998 3.499 4.785 5.408
8 0.889 1.108 1.397 1.860 2.306 2.896 3.355 4.501
9 0.883 1.100 1.383 1.833 2.262 2.821 3.250 4.297
Time 1 Width
Time 2 Width
0.15
636.6
(um)
(um)
12.92
50
25
30
20
40
30
5.041
4.781
1. 69m s) Based on the group's research interests, what would be an appropriate
a.eernative hypothesis? Null hypothesis? How many tails should a t-test for their data
have?
2. many what is the mean width at Time 1? Time 2?
Time 1:
Time 2:
3.
2.
) Suppose the group measured the widths at an additional Time 3, how many t-
tests would they need to conduct in order to compare all of the data?
4. to 299) Using the provided Pooled Variance formula, what would be the value of the
numerator for the data set above?
How many degrees of freedom would a t-test for this data set have?
6.
5.
6. H Nhat is the value of the Pooled Variance for this data set?
7. ees oif Jsing the formula provided, what is the value of the t-test statistic for this data
seu?
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