A type I error is when we

reject the null hypothesis when it is true

A type II error is when we

accept the null hypothesis when it is false

We have no error when we

accept the null hypothesis when it is true, reject the null hypothesis when it is false

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Math 323 Final Review Part 4

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Standardized normal distributions

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Questions 17

Answers

1
Which statistical measurement finds the data point in the center of sorted data?
mean
mode
median
range
2
Which statistical measurement looks for the data point that occurs with the highest frequency?
mode
range
mean
median
3
If 10 apply for 3 positions and 4 are male, what is P(2males are hired)?
6C3 4C0 / 10C3
4C3 6C0 / 10C3
4C2 6C1 / 10C3
4C4 6C0 / 10C3
4
If 10 apply for 3 positions and 4 are male, what is P(all females are hired)?
4C3 6C0 / 10C3
6C3 4C0 / 10C3
4C2 6C1 / 10C3
4C4 6C0 / 10C3
5
In a standardized normal distribution, μ = _?_
-0.5
0
1
0.5
6
Typically, we say n is large if n is greater than _?_.
300
30
100
10
7
A type I error is when we
accept the null hypothesis when it is true
reject the null hypothesis when it is true
accept the null hypothesis when it is false
reject the null hypothesis when it is false
8
The variance is the _?_ standard deviation.
opposite
reciprocal
square root
square
9
In a normal distribution, P(z < 1) = _?_
.8413
.5 - .1587 = .3413
.1587
.8413 - .5 = .3413
10
In a normal distribution,P(x is within one standard deviation of the mean) =
1 - [ P(μ - δ < z < μ + δ) ]
P(μ - δ < z < μ + δ)
P(μ - 3δ < z < μ + 3δ)
P(μ - 2δ < z < μ + 2δ)
11
If 10 apply for 3 positions and 4 are male, what is P(all males are hired)?
4C3 6C0 / 10C3
6C3 4C0 / 10C3
4C2 6C1 / 10C3
4C4 6C0 / 10C3
12
A type II error is when we
reject the null hypothesis when it is false
reject the null hypothesis when it is true
accept the null hypothesis when it is true
accept the null hypothesis when it is false
13
A good test is when the error rate is __ for Type I errors and ___ for Type II errors.
large and large
large and small
small and large
small and small
14
In a normal distribution, P(z > 0) = _?_
-0.5
1
0
.5
15
We have no error when we
accept the null hypothesis when it is false
accept the null hypothesis when it is true
reject the null hypothesis when it is false
reject the null hypothesis when it is true
16
P( 1 < z < 2.4) =
P(z < 1) - P(z < 2.4)
1 - [ P(z < 1) - P(z < 2.4) ]
P(z < 2.4) - P(z < 1)
1 - [ P(z < 2.4) - P(z < 1) ]
17
In a normal distribution, P(z < 0) = _?_
-0.5
0
.5
1

Math 323 Final Review Part 4 Flashcards | StudBud