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STAT 1040 Final Exam Review Pt. 1 Flashcards | StudBud
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STAT 1040 Final Exam Review Pt. 1
STAT 1040 Final Exam Review Pt. 1
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1
With the addition rule, we worry about ___. With the multiplication rule, we worry about ___ and ___.
The subtraction rule, mutual exclusivity, independence.
The subtraction rule, mutual exclusivity, independence.
Conditional probability, independence, mutual exclusivity.
mutual exclusivity, independence, subtraction rule.
2
Our regression equation is y=1.75x+3.5. If x=12, which option will give the correct prediction for y?
y=1.75x+3.5+4
y=1.75\left(12\right)+3.5
4=1.75\left(y\right)+3.5
x=1.75\left(12\right)+3.5
3
When might linear regression be inappropriate?
If heteroscedasticity occurs within the scatterplot.
If the data are non-linear.
If there is an extreme outlier.
If the scatterplot is not confined to a single football.
4
Men's heights average 70" with an SD of 3". What is the chance that a man is less than 65" tall?
chance = 100%
chance = 95.25%
chance = 4.75%
chance = 0%
5
Below is the histogram for the previous data. What percentage of people have less than four pets?
13.33%
6.67%
66.67%
60%
6
Find the chance that the second card in a deck is a spade.
\frac{13}{52}
(\frac{13}{51})^2
\frac{13}{51}
(\frac{13}{52})^2
7
Find the chance that the first card is a heart and the second card is a spade. The cards are drawn with replacement.
\frac{13}{52}
\frac{13}{52}\times\frac{12}{51}
(\frac{13}{52})^2
\frac{13}{52}\times \frac{13}{51}
8
Men's heights average 70" with an SD of 3". I want to find the percentile at 77". Calculate both z & the percentile.
z = 2.33, percentile = 99
z = -2.33, percentile = 99
z = 53.67, percentile = 100
z = 2.33, percentile = 1
9
Calculate the regression equation: avex=10, avey=21, SDx =2, SDy=5, r=0.7
y = 0.28x + 14
y = 1.75x - 26.75
y = 1.75x + 3.5
y = 0.28x + 18.2
10
Which category contains the median?
4 pets
2 pets
5 pets
3 pets
11
I give 400 patients a vaccine and 400 patients a placebo, then compare the results. This is a(n) _____.
sample survey
observational study
experiment
census
12
Estimate the SD of the histogram below. (Hint: use the 68-95-99.7 rule)
SD\approx8
SD\approx 4
SD\approx12
SD\approx2
13
A study fails to take into account gender differences when studying a new medication. Gender is a ____ factor.
skewed
bias
quantitative
confounding
14
The following frequency table is made up of discrete data.
False
True
15
Is y=24.5 a surprising result if its observed value at x=12 is 27? Compare r.m.s. error to the residual to find out.
Residual = -35. This is surprising.
Residual = -35. This is surprising.
Cannot compute with the information given.
Residual = 2.5. This is not surprising.
16
I choose two M&Ms below (there are 30). What is the chance of drawing a red, yellow, and green M&M without replacement?
\frac{4}{30}\times \frac{2}{30}\times \frac{5}{30}
\frac{1}{4}\times \frac{1}{2}\times \frac{1}{5}
\frac{4}{30}\times \frac{2}{29}\times \frac{5}{28}
\frac{4}{30}+\frac{2}{29}+\frac{5}{28}
17
Our prediction for y is 1.75(12)+3.5=24.5. Provide a "give or take" value for this estimate. (SDy=5, r=0.70).
r.m.s. error = 3.5
r.m.s. error = 5
r.m.s. error = 0.70
r.m.s. error = 3.57
18
How do we convert frequencies to percentages?
Divide each cell by the total, divide by 100.
Divide each cell by the total, multiply by 100.
Divide each cell by the number of pets, multiply by 100.
Divide each cell by the total.
19
I draw a card from a deck. What is the chance of drawing a jack or a diamond?
1.92%
30.77%
0%
32.69%
20
I roll a die three times. I want to find the chance that at least one roll was a 4. Fill in the blanks.
\frac{1}{6}
\frac{5}{6}
\frac{1}{3}
\frac{1}{216}
21
I roll a die three times. I find the chance that at least one roll was a 4. What two rules do I need to find the chance?
The multiplication and addition rules.
The subtraction and multiplication rules.
The subtraction and multiplication rules.
The addition and subtraction rules.
22
Men's heights average 70" with an SD of 3". What is a man's height at the 45th percentile? (Hint: use find a statistic).
69.62"
65"
75"
70.38"
