This Statistics assignment is about 40 questions (all multilple choice). It will be due back to me in 2 hours from the time I submit as it is a timed assignment. I am grateful for the help. Thanks. I will also attach assignemnt.
A set of all possible data values for a subject under consideration is called ___.
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.
Can a frequency distribution have overlapping classes?
Can't determine. I need more information.
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?
What type of distribution is described by the following information?
Mean = 56 Median = 58.1 Mode = 63
(Left) negatively skewed
Right (positively) skewed
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:
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 ?
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 )?
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?
The area under a normal curve distribution is:
Equal to 100
almost equal to 1
equal to 1
equal to .5
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
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.
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.
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.
Mean = 3 , Standard Deviation = 1.5
Mean = 4 , Standard Deviation = 2.25
Mean = 6 , Standard Deviation = 2.25
Mean = 9 , Standard Deviation = 1.5
A Type I error means:
That I accepted the null hypothesis, when it is really false
That I rejected the null hypothesis, when it was really true
That I didn't have a large enough sample to make a decision
That my positive hypothesis is incorrect
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
If my p-value = .322 and my significant level is .05, then:
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.
Suppose I am using the t-distribution to estimate or test the mean of a sample from a single population. If the sample size is 25, then the degrees of freedom are ____?
Find the mean for the given sample data. Unless indicated otherwise, round your answer to one more decimal place than is present in the original data values. The students in Hugh Logan's math class took the Scholastic Aptitude Test. Their math scores are shown below. Find the mean score.
sample data: 536 608 344 340 596
357 343 566 470 482
Find the midrange for the given sample data. Listed below are the amounts of time (in months) that the employees of an electronics company have been working at the company. Find the midrange of the sample data: 12 21 26 37 46 53 62 66 75 76 85 91 132 155
Find the standard deviation for the given sample data. Round your answer to one more decimal place than is present in the original data. 20.0 21.5 27.4 47.3 13.1 11.1
Find the indicated probability. A bag contains 5 red marbles, 3 blue marbles, and 1 green marble. Find P(not blue).
Find the indicated probability. Round to the nearest thousandth. In a blood testing procedure, blood samples from 6 people are combined into one mixture. The mixture will only test negative if all the individual samples are negative. If the probability that an individual sample tests positive is 0.11, what is the probability that the mixture will test positive?
Evaluate the expression. 11C4
Provide an appropriate response.Suppose you pay $3.00 to roll a fair die with the understanding that you will get back $5.00 for rolling a 1 or a 6, nothing otherwise. What is your expected value?
Determine whether the given procedure results in a binomial distribution. If not, state the reason why. Choosing 10 marbles from a box of 40 marbles (20 purple, 12 red, and 8 green) one at a time with replacement, keeping track of the number of red marbles chosen.
Not binomial: there are more than two outcomes for each trial.
Procedure results in a binomial distribution.
Not binomial: the trials are not independent.
Not binomial: there are too many trials.
Assume that a procedure yields a binomial distribution with a trial repeated n times. Use the binomial probability formula to find the probability of x successes given the probability p of success on a single trial. Round to three decimal places. n = 4, x = 3, p = 1/6
Use the Poisson model to approximate the probability. Round your answer to four decimal places. The probability that a call received by a certain switchboard will be a wrong number is 0.02. Use the Poisson distribution to approximate the probability that among 140 calls received by the switchboard, there are no wrong numbers.
Given the linear correlation coefficient r and the sample size n, determine the critical values of r and use your finding to state whether or not the given r represents a significant linear correlation. Use a significance level of 0.05. r = 0.843, n = 5
Critical values: r = ±0.878, significant linear correlation
Critical values: r = ±0.950, no significant linear correlation
Critical values: r = 0.950, significant linear correlation
Critical values: r = ±0.878, no significant linear correlation
If z is a standard normal variable, find the probability. The probability that z is greater than -1.82
Solve the problem. A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If 40 different applicants are randomly selected, find the probability that their mean is above 215.
The given values are discrete. Use the continuity correction and describe the region of the normal distribution that corresponds to the indicated probability. The probability of no more than 75 defective CD's
The area to the right of 75.5
The area to the left of 75
The area to the left of 74.5
The area to the left of 75.5
Use the normal distribution to approximate the desired probability. Find the probability that in 200 tosses of a fair die, we will obtain at most 30 fives.
Assume that a sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level. Round the margin of error to four decimal places. In a random sample of 184 college students, 97 had part-time jobs. Find the margin of error for the 95% confidence interval used to estimate the population proportion.
Use the given degree of confidence and sample data to construct a confidence interval for the population proportion p. n = 125, x = 72; 90% confidence
0.507 < p < 0.645
0.503 < p < 0.649
0.506 < p < 0.646
0.502 < p < 0.650
Solve the problem. Round the point estimate to the nearest thousandth. 50 people are selected randomly from a certain population and it is found that 13 people in the sample are over 6 feet tall. What is the point estimate of the proportion of people in the population who are over 6 feet tall?
Use the confidence level and sample data to find a confidence interval for estimating the population (mu). Round your answer to the same number of decimal places as the sample mean. A random sample of 130 full-grown lobsters had a mean weight of 21 ounces and a standard deviation of 3.0 ounces. Construct a 98% confidence interval for the population mean mu.
21 oz < mu < 23 oz
20 oz < mu < 22 oz
20 oz < mu < 23 oz
19 oz < mu < 21 oz
Use the given information to find the P-value. Also, use a 0.05 significance level and state the conclusion about the null hypothesis (reject the null hypothesis or fail to reject the null hypothesis). The test statistic in a right-tailed test is z = 1.43.
0.1528; fail to reject the null hypothesis
0.1528; reject the null hypothesis
0.0764; fail to reject the null hypothesis
0.0764; reject the null hypothesis
|Due By (Pacific Time)||06/01/2014 01:00 pm|
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