Question

Let’s say that the null hypothesis H_{o} is that John’s
car is safe to drive.

- What is the alternative hypothesis H
_{a}? - Which statement below represents a Type II error?
- Which of the following statement represent the Type I error?

- John think the car may be safe when, in fact, it is not safe.
- John thinks the car is safe when, in fact, the car is safe.
- John thinks the car may not be safe when, in fact, it is not safe.
- John thinks the car may not be safe when, in fact, it is not safe.

Put the numbers of the above four statement into the following table.

decision |
Null Hypothesis is true |
Null hypothesis is false |

Reject H |
||

Do not reject H |

Answer #1

a) Ha: John’s car is not safe to drive

b) John think the car may be safe when, in fact, it is not safe

c) John thinks the car may not be safe when, in fact, it is safe.

decision | Null Hypothesis is true | Null hypothesis is false |

Reject Ho | John thinks the car may not be safe when, in fact, it is safe | John thinks the car may not be safe when, in fact, it is not safe. |

Do not reject Ho | John thinks the car is safe when, in fact, the car is safe. | John think the car may be safe when, in fact, it is not safe |

Let’s say that the null hypothesis Ho is that John’s
car is safe to drive.
What is the alternative hypothesis Ha ?
Which statement below represents a Type II error?
Which of the following statement represent the Type I
error?
John think the car may be safe when, in fact, it is not
safe.
John thinks the car is safe when, in fact, the car is
safe.
John thinks the car may not be safe when, in fact, it is...

When we conduct a hypothesis test, there are two ways to make a
mistake. The null hypothesis might be correct, and we end up
rejecting it. This is called a Type I error. On the other hand, the
null hypothesis might be false, and we fail to reject it. This is
called a Type II error. Either type of error can be costly, though
not necessarily equally costly. In the following two scenarios,
think about what is the alternative hypothesis?...

Car inspectors inspect new models of cars to see if they are
safe for human passengers. This can be thought of as a hypothesis
test with the following hypotheses.
H0: the car is safe
Ha: the car is not safe
The following is an example of what type of error?
The sample suggests that the new model of car is safe, but
it actually is not safe.
a. type I
b. type II
c. not an error
Question 2 of...

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

1. Which statement is incorrect?
A. The null hypothesis contains the equality sign
B. When a false null hypothesis is not rejected, a Type II error
has occurred
C. If the null hypothesis is rejected, it is concluded that the
alternative hypothesis is true
D. If we reject the null hypothesis, we cannot commit Type I
error
2. When carrying out a large sample test of H0: μ ≤ 10
vs. Ha: μ > 10 by using a critical value...

Conduct a test of the null hypothesis that the mean height for
all students in the Census at School database is equal to 155 cm vs
the alternative that the mean Height is greater than 155 cm. Use a
significance level of 0.05.
a. State the null and alternative hypotheses.
Ho: m = 155
Ha: m > 155
b. Provide the Statcrunch output table.
Hypothesis test results:
Variable
Sample Mean
Std. Err.
DF
T-Stat
P-value
Height
159.86
1.7311103
49
2.8074468...

You wish to test the hypothesis that female college students
spend more on wearing apparel than male college students. Which of
the following is INCORRECT?
The null and alternate hypotheses are:
Ho : mF < = mM
HA : mF > mM
If you concluded that female students spend more than male
students when in fact there is no difference between the two
groups, you would be committing a Type II error.
If we conclude that females spend less than...

An article in the newspaper states that the average
number of traffic accidents per month involving road rage is higher
this year than last year's average of 12.5 accidents per
month.
State the null and alternate hypotheses
Ho: µ = 12.5; and Ha: µ ≠ 12.5
Ho: µ = 12.5; and Ha: µ < 12.5
Ho: µ = 12.5; and Ha: µ > 12.5
Question 2
Based on the statement, “We are fairly sure that this
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Which of the following statements is true if when using null
hypothesis testing, our p value (in the “sig” column of SPSS
output) is 0.063?
Fail to reject the null hypothesis
Reject the null hypothesis
Cannot determine with the information provided
What graph type is most appropriate for a Chi Square Test of
Independence?
line chart
box plot
bar graph (# cases or count with no error bars)
clustered bar graph (# cases or count with no error bars)
Which...

Stats Homework
1. In your own words describe what is meant by a null
hypothesis.
2. In your own words describe what is meant by a research
hypothesis.
3. For the following four questions (A-D), use a distribution
with a mean of 47 and a standard deviation of 7.4.10.
A. What is the probability of a score falling between a raw
score of 42 and 52?
B. What is the probability of a score falling above a raw score
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