Statistics and Probability Answers

the attendance at college of a group of 18 students was recorded for a 4 week period.
the numbers of students actually attending each of 16 classes are shown below.
18,16,18,15,18,17,14,17,17,16,17,18,17,18,18,16.calculate the mean and standard deviation of students attending the classes.
EXPRESS THE MEAN AS A PERCENTAGE OF THE 18 STUDENTS IN THE GROUP.

When TV advertisements report that “2 out of 3 dentists surveyed indicated they would recommend Brand X toothpaste to their patients,” an informed consumer may question the conclusion because: A. the results were incorrectly computed. B. dentists were not really surveyed. C. the conclusion does not include the total number of dentists surveyed. D. the conclusion is not illustrated with a graph. Reset Selection Mark for Review What's This? Question 2 of 20 5.0 Points The main purpose of descriptive statistics is to: A. summarize data in a useful and informative manner. B. make inferences about a population. C. determine if the data adequately represents the population. D. gather or collect data. Reset Selection Mark for Review What's This? Question 3 of 20 5.0 Points A poll of 1,000 voters used to predict the outcome of a statewide election is an example of: A. descriptive statistics. B. continuous variable measurement. C. statistical inference. D. deductive statistics. Reset Selection Mark for Review What's This? Question 4 of 20 5.0 Points The number of fishing boats shipped from a manufacturer to a dealer each month is described as a: A. random variable. B. qualitative variable. C. discrete variable. D. continuous variable. Reset Selection Mark for Review What's This? Question 5 of 20 5.0 Points The kinds of numbers that can take on any value, either a fraction or integer, between specified limits are called: A. random variables. B. qualitative variables. C. discrete variables. D. continuous variables. Reset Selection Mark for Review What's This? Question 6 of 20 5.0 Points Which of the following is an example of a qualitative variable? A. Number of children in a family B. Weight of a person C. Color of ink in a pen D. Miles between oil changes Reset Selection Mark for Review What's This? Question 7 of 20 5.0 Points Data obtained on the preferences of different religious groups for specific types of network television programming is an example of: A. random variables. B. qualitative variables. C. discrete variables. D. continuous variables. Reset Selection Mark for Review What's This? Question 8 of 20 5.0 Points __________ level data are mutually exclusive and exhaustive, and categories are scaled according to the amount of the characteristic they possess, and zero represents a point on the scale. A. Nominal B. Ordinal C. Interval D. Ratio Reset Selection Mark for Review What's This? Question 9 of 20 5.0 Points A bank asks customers to evaluate the drive-through service as good, average, or poor. Which level of measurement does this classification illustrate? A. Nominal B. Ordinal C. Interval D. Ratio Reset Selection Mark for Review What's This? Question 10 of 20 5.0 Points Information can be misrepresented: A. through misleading charts and graphs. B. by reporting of an association of variables as causation. C. by presenting average data that misrepresents sample or population data. D. All of the above Reset Selection Mark for Review What's This? Question 11 of 20 5.0 Points The _________ level of measurement presumes that one classification is ranked higher than another. A. nominal B. ordinal C. interval D. ratio Reset Selection Mark for Review What's This? Question 12 of 20 5.0 Points _________ data are usually summarized in graphs and bar charts. A. Qualitative B. Quantitative C. Continuous D. Discrete Reset Selection Mark for Review What's This? Question 13 of 20 5.0 Points Data can be classified according to: A. discrete variables. B. continuous variables. C. attributes. D. levels of measurement. Reset Selection Mark for Review What's This? Question 14 of 20 5.0 Points A _________ is the total collection of individuals or objects. A. data set B. sample C. population D. grouping Reset Selection Mark for Review What's This? Question 15 of 20 5.0 Points An example of the _________ level of measurement is temperature. A. nominal B. ordinal C. interval D. ratio Reset Selection Mark for Review What's This? Question 16 of 20 5.0 Points With the _________ level of measurement, the data are sorted into categories with no particular order to the categories. A. nominal B. ordinal C. interval D. ratio Reset Selection Mark for Review What's This? Question 17 of 20 5.0 Points The _________ level is the “highest” level of measurement. A. nominal B. ordinal C. interval D. ratio Reset Selection Mark for Review What's This? Question 18 of 20 5.0 Points Another term for an attribute is a _________ variable. A. discrete B. continuous C. qualitative D. quantitative Reset Selection Mark for Review What's This? Question 19 of 20 5.0 Points _________ involve(s) making estimates about a population based on sample results. A. Inferential statistics B. Determinant statistics C. Statistical sampling D. Statistical analysis Reset Selection Mark for Review What's This? Question 20 of 20 5.0 Points With _________ level data, the data classifications are scaled according to the amount of the characteristic they possess. A. nominal B. ordinal C. interval D. ratio

predict of tossing 3 heads with three coins. us fractions in your prediction

The probabilitie of different event happening is given. What is the probability of this event not happening:
0.1

A professor of a law school observes that only 25% of students who get admitted to the freshman class reach fourth year. assuming that this is correct, among 15 randomly selected first year students,
a. find the probability that exactly 8 will reach fourth year.
b. find the probability that at most 7 will reach fourth year.
c. find the probability that between 7 and 10, inclusive will reach fourth year.
d. find the expected number of students who will reach fourth year for the next 25 students.

Consider a normal distribution with mean of 500 and a standard deviation of 50.
a. Below what value can we expect to have the lowest 20%?
b. Between what values can we expect to find the middle 80%?

In a case in Riverhead, New York, nine different crime victims listened to voice recordings of five different men. All nine victims identified the same voice as that of the criminal. If the voice identifications were made by random guesses, find the probability that all nine victims would select the same person. Does this constitute reasonable doubt?

ASK # 38639 (use it when you're asking about your order)
Order title: Statistics
Subject: Math
Category: Statistics and Probability
Level: University
Deadline: 2012-09-10 12:19
Price: 1 $
Task

Hello,

I need help with these problems.

Directions for 9.26
It contain a graph portraying the decision criterion for a hypothesis test for a population mean, μ. The null hypothesis for each test is H0: μ= μ0: the test statistic is
_

Z = X - μ0
______
σ/ √ n

The curve in each graph is the normal curve for the test statistic under the assumption that the null hypothesis is true. For each exercise, determine the

a) rejection region. b) nonrejection region.
c) critical value(s) d) significance level.
e) Construct a graph similar to that in fig.9.5 on page 410 that depicts your results from parts (a)-(d).
f) Identify the hypothesis test as two tailed, left tailed, or right tailed.
Figure 9.5
_|__|__|____|____|______
-2 Nonreject 2
region

Problem: 9.26 Reject H0/ do not reject h0

0.05
| __|______|___|___|____|__
-1.645 0

I dont know how to draw graph that connect to the problem however, it starts from far left and ends far right it has a concave down above 0.


Directions for 9.58 IN each case, use the one-mean z test to perform the required hypothesis test about the mean, μ, of the population from which the sample was drawn.

9.58 - = 20, n = 24, σ = 4, H0: μ = not equal to 22, Ha:μ not equal to 22, α = 0.05

Direction for 9.140
a) Use the one-mean t-test to perform the required hypothesis test about the mean, μ, of the population from which the sample was drawn.

b) Find (or estimate) the P-value and refer to table 9.12 on page 444 to determine the strength of the evidence against the null hypothesis.

Table 9.12 Evidence
P-value against H0
p > 0.10 weak or none
0.05 < p< 0.10 moderate
-
0.01 < p < 0.05 strong
-
p < very strong
-

9.150 Directions for 9.150

Perform each t-test, using either the critical-value approach or the P-value approach.

9.150 Active management of labor is a group of interventions designed to help reduce the length of labor and the rate of cesarean deliveries. Physicians from the department of obstetrics and gynecology at the university of new mexico health sciences center were interested in determining whether AML would also translate into a reduced coat for delivery. The results of their study can be found Active management of labor. According to the article, 200 AML deliveries had a mean cost of $2480 with a standard deviation of $766. At the time of the study, the average cost of having a baby in a U.S. hospital was $2528. At the 5% significance level, do the data provide sufficient evidence to conclude that, on average, AML reduces the cost of having a baby in a U.S. hospital ?



Detailed explanation: NO
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Please send in DOC only. And keep sentences

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The letter of the word "SUCCESS" are in a row at random.Find the probability that all 'S' come together?

I am trying to find a answer to this word problem: Researchers were trying to find how much fish is in the lake so, they caught 200 and tagged them. The next time the went they caught 250 and out of that 16 was tagged. so how many fish is in the lake