Statistics PreAssignment Test Coursework Example

Question 1
c) a population
A set of all possible data values for a subject under consideration is called ___.
descriptive statistics
a sample
a population
inferential statistics Question 2
c) The number of students in your school
Which of the following can be classified as Discrete and Quantitative data?
The acceleration of your car as you drive to school
The different colors of the eyes of your classmates
The number of students in your school
The height of all the people in your neighborhood Question 3
b) No
Can a frequency distribution have overlapping classes?
sometimes
No
Yes
Can’t determine I need more information Question 4
7.0
For a 10 point quiz, the professor recorded the following scores for 8 students:
7, 8, 3, 9, 10, 6, 8, 5
What is the Mean for this set of scores?
7.0
6.9
7.5
8.0
Question 5
a) (left) negatively skewed
What type of distribution is described by the following information?
Mean = 56          Median = 58.1   Mode = 63
(left) negatively skewed
Symmetrical (normal)
Bimodal
Right (positively) skewed Question 6
70 & 130
In a standardized IQ test, the mean score is 100 and the standard deviation is 15. According to the Empirical rule, 95 % of all those who took the test should have scores between
70 & 130
85 & 115
55 & 145
100 & 130 Question 7
88
A Statistics teacher has the following test scores: 93, 72, 80, 95, 90, 70, 91, 85, 86, 100 What is the median test score of these grades?
90
88
95
80 Question 8
1/6
There are 10 colored balls in a box (5 red, 3 blue, 2 green).

What is the probability of picking out a red ball and then a blue ball (If I do not replace the red ball)?
1/6
½
3/20
4/5 Question 9
Has a negative linear correlation
Given the following scatter diagram, the sample correlation coefficient r:
Has a positive linear correlation
Has a negative linear correlation
Has a title or no correlation
Looks close to + 1.00
Question 10
150
If I go into an ice cream parlor, and I have the choice of having one of 10 different flavors, with one of 5 different toppings and one of 3 different types of cones, How many times can I come back to this place and get a different ice cream cone combination?
10
50
150
300 Question 11
0.25
The Sarasota Police department collected data on the number of car accidents ( X ) that occur each day on a certain stretch of route 41.  From this data, they derived the probability distribution shown in the table below.
X          P(X)
0          0.80
1          0.15
2          0.05
What is the expected mean (average) number of accidents that occur each day?
0.50
0.25
0.33
1.00 Question 12
Equal to 1
The area under a normal curve distribution is
Equal to 100
Almost equal to 100
Equal to 1
Equal to 5 Question 13
b) 30
According to the Central Limit Theorem, The traditional sample size that separates a large sample size from a small sample size is one that is greater than
100
30
500
20
Question 14
b) That I am 95% confident that the confidence interval will contain the parameter being estimated.
What is meant by the 95% confidence interval of the mean?
That 95% of my sample is OK to do more tests
That I am 95% confident that the confidence interval will contain the parameter being estimated.
That 5% of my sample is not OK
That I am 95% sure that the population mean is 95. Question 15
The confidence interval also increases (gets larger)
As the sample size increases
The confidence interval also increases (gets larger)
The confidence interval decreases (gets smaller)
The confidence interval stays the same
The population mean increases Question 16
Means = 3, Standard Deviation = 1.5
Consider a binomial random variable where the number of trials is 12 and the probability of success on each trial is 0.25. Find the mean and standard deviation of this random variable
Means = 3, Standard Deviation = 1.5
Mean = 4, Standard Deviation = 2.25
Mean = 6, Standard Deviation = 2.25
Mean = 9, Standard Deviation = 1.5 Question 17
That I rejected the null hypothesis, when it is really true
A Type I error means
That I accepted the null hypothesis, when it is really false
That I rejected the null hypothesis, when it is really true
That I didn’t have a large enough sample to make a decision
That my positive hypothesis is correct
Question 18
The sampling distribution is normal and the population standard deviation is unknown
The t distribution should be used when ___.
The sampling population is not normal
The sampling population is unimodal
The sampling distribution is normal and the population standard deviation is unknown
The population standard deviation is known. Question 19
My Null Hypothesis is not rejected
If my p-value = .322 and my significant level is .05 , then
a) My Null Hypothesis is rejected and I must accept the Alternative hypothesis
My Null Hypothesis is not rejected
My Alternative hypothesis becomes the new Null Hypothesis
I cannot make a decision until I know my sample size
Question 20
c) 24
Suppose I am using the t-distribution to estimate
26
25
24
30