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Unit #2 Review
Unit #2 Review
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Bio 200 Chp. 9, 11, 13, 14 Normal distributions, standardizing, SEM, and CI
Flashcards
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Questions
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Answers
1
Age is normally distributed with a mean=44.9 and standard deviation=12.6. The middle 68% of ages are within ___ and ___
32.3 to 57.5
19.7 to 70.6
40.9 to 48.9
2
Control group: 95% CI[10, 15] and Treatment group: 95% CI[16, 19] Therefore you conclude:
You are not 95% confidence of a difference between groups.
You can not make a conclusion without means for each group.
You are 95% confident that treatment group is higher than control group.
The groups are too close together to confirm there is a difference.
3
In regards to sampling distributions, the mean (x bar) is centered over the true population mean (µ).
False
True
4
A 95% confidence interval for the mean IQ of college students was computed as (103, 110). You conclude...
95% of individuals in the sample have IQs between 103 and 110
95% confident that the true mean is between 103 and 110
95% probability that the future sample mean will be between 103 and 110
95% of future samples will have CI that contain the true mean
5
A sample of n=15, shows age is normal with a mean of 44.9 and standard deviation of 12.6. What is t at 95% confidence?
2.977
1.960
2.145
2.131
6
Based on phone polling, 37% said they would vote for the Dem candidate. On Election Day, 41% actually voted for the Dem.
37% is a parameter and 41% is a statistic
Both 37% and 41% are parameters
Both 37% and 41% are statistics.
37% is a statistic and 41% is a parameter
7
Age is normally distributed with a mean=44.9 and standard deviation=12.6. The youngest 20% are ____ years?\le
30.3
38.6
34.2
40.5
8
A 90% confidence interval for age will have a smaller margin of error.
False
True
9
A sample of n=15, shows age is normal with a mean of 44.9 and standard deviation of 12.6. What is a 95% CI for age?
41.6, 48.2
2.145
32.3, 57.5
38.0, 51.8
10
Body temps are Normal with μ = 98.6 (°F) and σ = 0.6°F. What is the lower limit for the top 10% of body temperatures?
100.0
97.8
97.02
99.4
11
The central limit theorem allows us to use a Normal curve to model the sampling distribution of non-normal data.
True
False
12
What does the variability of a sampling distribution (SEM) represent?
Sample variability
Population variability
Uncertainty around the true population mean
The margin of error
13
Age is normally distributed with a mean=44.9 and standard deviation=12.6. What is z for age=31?
-0.8
-2.0
-1.1
1.5
14
Age has a mean=44.9 and standard deviation=12.6. The sampling distribution based on n=25 has mean=____, SEM=_____?
44.9; 2.5
44.9; 5
44.9; 0.25
44.9; 12.6
15
Which of the following is a true statement regarding the Central Limit Theorem?
Sampling distributions will become more normally distributed as n increases
Sampling distributions will become less normally distributed as n increases
Samples with a larger sample size will be more normally distributed.
Red and blue are correct.
16
A Normal density curve has which of the following properties?
It has a peak centered about the mean
It is symmetric
The spread of the cure is proportional to the standard deviation
All of the above
17
Compared to the previous question, a sampling distribution with n=50 will have a smaller SEM.
False
True
