Statistics

Question 1 Question 1
A set of all possible data values for a subject under consideration is called ___.a) descriptive statisticsb) a samplec) a populationd) inferential statistics Question 2
Which of the following can be classified as Discrete and Quantitative data.a) The acceleration of your car as you drive to schoolb) The different colors of the eyes of your classmatesc) The number of students in your schoold) The height of all the people in your neighborhood Question 3
Can a frequency distribution have overlapping classes?a) sometimesb) Noc) Yesd) Can’t determine I need more information Question 4  For a 10 point quiz, the professor recorded the following scores for 8 students:7, 8, 3, 9, 10, 6, 8, 5What is the Mean for this set of scores?a) 7.0b) 6.9c) 7.5d) 8.0 Question 5  What type of distribution is described by the following information?Mean = 56          Median = 58.1   Mode = 63a) (left) negatively skewedb) Symmetrical (normal)c) Bimodald) Right (positively) skewed Question 6
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 betweena) 70 & 130b) 85 & 115c) 55 & 145d) 100 & 130 Question 7  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?a) 90b) 88c) 95d) 80

Question 8  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 )?a) 1/6b) ½c) 3/20d) 4/5 Question 9  Given the following scatter diagram, the sample correlation coefficient r:   a) Has a positive linear correlationb) Has a negative linear correlationc) Has a title or no correlationd) Looks close to + 1.00 Question 10
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?a) 10b) 50c) 150d) 300

Question 11
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         0.05What is the expected mean (average) number of accidents that occur each day?a) 0.50b) 0.25c) 0.33d) 1.00 Question 12
The area under a normal curve distribution isa) Equal to 100b) Almost equal to 100c) Equal to 1d) Equal to 5 Question 13
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 thana) 100b) 30c) 500d) 20 Question 14
What is meant by the 95% confidence interval of the mean?a) That 95% of my sample is OK to do more testsb) That I am 95% confident that the confidence interval will contain the parameter being estimated.c) That 5% of my sample is not OKd) That I am 95% sure that the population mean is 95. Question 15
As the sample size increasesa) The confidence interval also increases (gets larger)b) The confidence interval decreases (gets smaller)c) The confidence interval stays the samed) The population mean increases Question 16
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 variablea) Means = 3, Standard Deviation = 1.5b) Mean = 4, Standard Deviation = 2.25c) Mean = 6, Standard Deviation = 2.25d) Mean = 9, Standard Deviation = 1.5

Question 17
A Type I error meansa) That I accepted the null hypothesis, when it is really falseb) That I rejected the null hypothesis, when it is really truec) That I didn’t have a large enough sample to make a decisiond) That my positive hypothesis is correct Question 18
The t distribution should be used when ___.a) The sampling population is not normalb) The sampling population is unimodalc) The sampling distribution is normal and the population standard deviation is unknownd) The population standard deviation is known. Question 19
If my p-value = .322 and my significant level is .05 , thena) My Null Hypothesis is rejected and I must accept the Alternative hypothesisb) My Null Hypothesis is not rejectedc) My Alternative hypothesis becomes the new Null Hypothesisd) I cannot make a decision until I know my sample size Question 20
Suppose I am using the t-distribution to estimate a) 26b) 25c) 24d) 30