The following table gives the weights, to the nearest kilogram, of randomly-selected male university students. 69 82 75 66 72 63 74 78 73 79 70 74 68 74 76 72 84 63 69 78 81 60 77 83 73 86 71 68 76 70 68 80 73 67 71 75 78 73 64 73 a. Using class intervals of size 5kg, construct a frequency distribution of the above data. b. Using the grouped data, calculate the following quantities: iv. Quartile number 1 v. Quartile number 3 vi. Variance vii. Standard Deviation (1 mark)
In: Statistics and Probability
What is the probability that in the sample between 33% and 48% say that having a flexible work schedule is either very important or extremely important to their career success?
What is the probability that in the sample, between 23% and 31% are more likely to buy stock in a company based in Country A, or shop at its stores, if it is making an effort to publicly talk about how it is becoming more sustainable?
In: Statistics and Probability
Maximize 9 X1 + 12 X2 + 10 X3
Subject to:
Machine Constraint: 3 X1 + 4 X2 + 3 X3 < 160
Labor Constraint: 6 X1 + 10 X2 + 4 X3 < 288
Materials Constraint: 2 X1 + 2 X2 + 7 X3 < 200
Product 2 Constraint: X1 < 16
OPTIMAL SOLUTION
Objective Function Value = 483.097
Variable Value Reduced Costs
-------------- --------------- ------------------
X1 16.000 0.000
X2 10.839 0.000
X3 20.903 0.000
Constraint Slack/Surplus Dual Prices
-------------- --------------- ------------------
1 5.935 0.000
2 0.000 1.032
3 0.000 0.839
4 0.000 1.129
OBJECTIVE COEFFICIENT RANGES
Variable Lower Limit Current Value Upper Limit
------------ --------------- --------------- ---------------
X1 7.871 9.000 No Upper Limit
X2 2.857 12.000 14.059
X3 4.800 10.000 18.750
RIGHT HAND SIDE RANGES
Constraint Lower Limit Current Value Upper Limit
------------ --------------- --------------- ---------------
1 154.065 160.000 No Upper Limit
2 192.000 288.000 304.727
3 70.400 200.000 226.286
4 0.000 16.000 30.154
In: Statistics and Probability
For this activity, select a recurring quantity from your OWN life for which you have monthly records at least 2 years (including 24 observations in the dataset at least). This might be the cost of a utility bill, the number of cell phone minutes used, or even your income. If you do not have access to such records, use the internet to find similar data, such as average monthly housing prices, rent prices in your area for at least 2 years (You must note the data source with an accessible link). Data can also be monthly sales of some particular commodity. 1.4 Please do the descriptive analysis, using the method of index number and Exponential Smoothing individually. And try to explain the pattern you find. 1.5 Use two methods you learned to predict the value of your quantity for the next year (12 months). And make a comparison with two results.
In: Statistics and Probability
2. One personality dimension that seems well recognized by most people is that of introversion-extroversion. Extroverts are described as outgoing, sociable, and fun-loving, whereas introverts are described as reserved and less sociable. Because introverts seem more directed toward their own thoughts and ideas, we might suspect that introverts and extroverts may respond differently to external stimulation such as noise. To more fully investigate this issue, Standing, Lynn, and Moxness (1990) used a 2 ✕ 2 between-subjects design to vary personality type (factor A), introverts and extroverts, and background noise (factor B), quiet and noisy, while subjects performed a reading comprehension task. Suppose you conducted a similar study with 12 subjects per cell, and each person completed a 15 item true-false reading comprehension task. A person’s score was the number of items correctly answered. You obtained the following scores:
Personality Type (A) |
||
Introvert |
Extrovert |
|
Quiet |
10 |
15 |
8 |
14 |
|
12 |
12 |
|
15 |
15 |
|
10 |
11 |
|
9 |
8 |
|
14 |
12 |
|
13 |
8 |
|
14 |
13 |
|
7 |
10 |
|
12 |
9 |
|
11 |
11 |
|
Background Noise (B) |
||
Noisy |
6 |
13 |
8 |
8 |
|
11 |
9 |
|
4 |
14 |
|
5 |
13 |
|
8 |
12 |
|
9 |
15 |
|
10 |
11 |
|
9 |
9 |
|
10 |
11 |
|
7 |
12 |
|
11 |
10 |
2.a.What is the relationship between personality type and the effect of background noise? Use α= .05. If an interaction occurred, use the Tukey HSD test for the simple effects.
2.b.Plot the cell means with the appropriate labelling. You can draw this by hand.
2.c.Report the results as it would appear in a research paper.
In: Statistics and Probability
Grades on a standardized test are known to have a mean of 940 for students in the United States. The test is administered to 436 randomly selected students in Florida; in this sample, the mean is 952.22 and the standard deviation (s) is 101.52.
The 95% confidence interval for the average test score for Florida students is (__ , __). (Round your responses to two decimal places.)
In: Statistics and Probability
The mean wait time at Social Security Offices is 25 minutes with a standard deviation of 11 minutes. Use this information to answer the following questions:
A. If you randomly select 40 people what is the probability that their average wait time will be more than 27 minutes?
B. If you randomly select 75 people what is the probability that their average wait time will be between 23 and 26 minutes?
C. If you randomly select 100 people what is the probability that their average wait time will be at most 24 minutes?
In: Statistics and Probability
Your measure of intelligence test booklet says that X= 100 (SD = 15). Using that information, match the following terms with its numerical value. Match
Mean _____ 1. 55 - 145
68% sure the true scores lies in the range of ___________ 2. 100
standard deviation _________ 3. 70 - 130
99% sure the true scores lies in the range of ________ 4. 85 - 115
95 % sure the true scores lies in the range of ________ 5. 15
In: Statistics and Probability
Suppose that at the beginning of March, a new strain of flu, flu-A, emerges and begins to spread through U-College undergraduates. The symptoms of Flu-A are like the common flu, flu-B, and other respiratory illnesses. It is thought that the infection rate of Flu-A will be similar to that of Flu-A at other colleges, but that the disease will be much less deadly. Flu-A is expected to infect about 20 out of every 1,000 undergraduate students per month for the rest of the semester, while the flu-B is expected to infect about 30 out of every 1,000 undergraduates per month for the rest of the semester. Assume that this rate remains the same for each of the remaining months in the semester (March, April, and May). There are currently 6,800 U-College undergraduates on campus. You may assume that infection with Flu-A is independent of infection with the flu-B.
1. Calculate the total expected number of Flu-A cases among U College undergraduates over the next three months.
2. If more than 150 cases of Flu-A are observed among the undergraduates during the next month, the College will go into shut-down mode and cancel class meetings. What is the probability the College goes into shut-down mode by the end of March?
In: Statistics and Probability
Suppose you estimate a simple linear regression model and obtain a t-value for the slope coefficient of -3.1. Based on this, explain which of the following statements are correct or wrong:
a) A 95% confidence interval for the true slope would exclude
0.
b) It is possible that the point estimate for the slope is
b_1=4.
c) At the 10% level of significance you fail to reject the null
hypothesis that the true slope is equal to 0.
d) The probability that the true slope is negative is greater than
the probability that the true slope is positive.
In: Statistics and Probability
statistics and probability questions, solve clearly, show steps and in 30 minutes for thumbs up vote
A government report on remuneration for university
administrators in Canada lists average salaries for various
executive roles. The total annual salary for university presidents
is listed as $500,000. To test this reported figure, at LOC = 95%,
a random sample of 16 Canadian university presidents’ total annual
salaries was collected. The raw data is below (in $/year):
618,000, 464,000, 686,000, 500,000, 746,000, 704,000, 596,000,
629,000,
523,000, 756,000, 561,000, 608,000, 691,000, 663,000, 529,000,
442,000.
a) Find the mean and standard deviation using a spreadsheet.
b) Assess the government report’s claim, using the critical-value
method.
c) Use the p-value method to determine if there are any
commonly-used LOC values for which the conclusion would be opposite
to your answer from Part (a).
In: Statistics and Probability
statistics and probability questions, solve clearly, show steps and in 30 minutes for thumbs up vote
please answer all parts of the question, garunteed thumbs up.
A proposal to amalgamate the two towns of Smallville and
Palookatown into one municipality is scheduled to be put to a
referendum vote at the next local election. A random survey of 200
voters in each town is conducted, with 113 voters in Smallville
indicating their support for the proposal, and 90 voters in
Palookatown indicating their support.
a) Find the proportion of voters in support of amalgamation for
both towns.
b) Calculate confidence intervals for the difference between the
levels of support for amalgamation in the two towns, for:
i. LOC = 95%
ii. LOC = 99%
c) Comment on whether or not the results from Part (a) support the
idea that one town is more supportive, overall, of the amalgamation
proposal.
d) Assume that this data was collected after a claim was made that
the level of support is different in the two towns. Test this claim
at LOC = 95%, using the critical value method.
e) Use the p-value method to determine if your decision from Part
(d) above would change for any of
α = 0.10, 0.01, 0.005, 0.001 .
f) Assuming that the sampling in this study was done in a random
and unbiased manner, do you think that the level of support for
amalgamation is equal in the two towns, or are observed differences
probably just attributable to random sampling error? Explain in the
context of your answers above (Note: there is no single right
answer to this question – but your answer needs to be consistent
with the arguments supporting it).
In: Statistics and Probability
statistics and probability questions, solve clearly, show steps and in 30 minutes for thumbs up vote
A local manufacturer of wooden furniture orders timber from
nearby mills, to make their various products such as tables,
chairs, and bedframes. One of the woodworkers there expresses their
dissatisfaction with the quality of the timber supplied by the
mills, and states that in their opinion, more than half of their
timber pieces of a certain size range contain unworkable
flaws.
a) Test this claim, at LOC = 90%, against a subsequent random
sample of 50 timber pieces in this size range, of which 24 pieces
contain unworkable flaws. Use the critical-value method.
b) Use the p-value method to determine if the result from Part (a)
would be different for any other common LOC.
In: Statistics and Probability
1
The number of goals in a World Cup soccer match has a Poisson distribution with a mean of 3. For a soccer player in World Cup, the probability of having an age over 30 is 0.2.
a. What is the probability of having 0 goal in a World Cup soccer match? (3 pts) What is the probability of having more than 1 goal in a World Cup soccer match?
b. What is the probability that 0 out of the 11 players in a World Cup soccer team are older than 30 ?
c. The probability that a soccer team wins a World Cup match is 0.7 if none of its players are older than 30. The probability that a soccer team wins a World Cup match is 0.4 if some players are older than 30. The probability that “no players are older than 30 in a World Cup soccer team” is your result from question b. A soccer team just won the latest World Cup match. Given this information, what is the probability that NO players in the team have an age over 30?
In: Statistics and Probability
Fear of breast cancer. A recent survey of 1000 American women ages 45-64 asked them what medical condition they feared the most. 61% said that they feared breast cancer the most. Construct a 95% confidence interval for the population proportion of women who most feared breast cancer. Then Interpret the confidence interval.
In: Statistics and Probability