Check 1 ptRetries 1
A fair coin is tossed 7 times. Compute the probability of
tossing 7 tails in a row.
1128
Enter your response as a reduced fraction.
Unattempted Question 2
Check 1 ptRetries 1
A CEO of Awesome Coolers owns 4 pairs of pants, 13
shirts, 8 ties and 3 jackets. How many different outfits can he
wear to the office if he must wear one of each item?
The CEO has different outfits.
Unattempted Question 3
Check 1 ptRetries 1
In a large population, 65 % of the people have been vaccinated.
If 5 people are randomly selected, what is the probability that AT
LEAST ONE of them has been vaccinated?
Give your answer as a decimal (to at least 3 places) or
fraction.
Unattempted Question 4
Check 1 ptRetries 1
Given the probability of an event is 110110, what are the odds against that event?
:
Unattempted Question 5
Check 1 ptRetries 1
A student's grades and weights are given below. Calculate the final grade by calculating a weighted average.
Category | Grade Earned | Weight of Grade |
In-class Work | 91.7% | 5% |
Homework | 51.3% | 20% |
Quizzes | 52.2% | 25% |
Exams | 70.2% | 50% |
Calculate the student's final grade: %
Round your answer to one decimal place.
Unattempted Question 6
Check 1 ptRetries 1
A person must pay $$4 to play a certain game at the casino. Each
player has a probability of 0.01 of winning $$16, for a net gain of
$$12 (the net gain is the amount won 16 minus the cost of playing
4).
Each player has a probability of 0.99 of losing the game, for a net
loss of $$4 (the net loss is simply the cost of playing since
nothing else is lost).
What is the Expected Value for the player (that is, the mean of the
probabiltiy distribution)? If the Expected Value is negative, be
sure to include the "-" sign with the answer. Express the answer
with two decimal places.
Expected Value = $
If a person plays this game a very large number of times over the
years, do we expect him/her to come out financially ahead or
behind?
Unattempted Question 7
Check 1 ptRetries 1
A 10-sided fair die, a 4-sided fair die, and a 6-sided fair die are rolled. What is the probability of all three happening:
Probability =
(Enter your answer as a reduced fraction.)
Unattempted Question 8
Check 1 ptRetries 1
A store gathers some demographic information from their
customers. The following chart summarizes the age-related
information they collected:
Age | Number of Customers |
---|---|
<20<20 | 97 |
20-30 | 77 |
30-40 | 64 |
40-50 | 63 |
50-60 | 52 |
≥60≥60 | 96 |
One customer is chosen at random for a prize giveaway.
What is the probability that the customer is at least 30 but no
older than 50?
What is the probability that the customer is either older than 60
or younger than 40?
What is the probability that the customer is at least
60?
Enter your answers as either decimals or fractions, not as
percents.
Unattempted Question 9
Check 1 ptRetries 1
Frank earned the following grades last quarter. Calculate his GPA rounded to two decimals.
Course | Grade | Credits |
---|---|---|
Music | 3.3 | 3 |
History | 2.3 | 4 |
Computers | 1.8 | 5 |
GPA:
Unattempted Question 10
Check 1 ptRetries 1
The table below shows the number of survey subjects who have
received and not received a speeding ticket in the last year, and
the color of their car.
Speeding Ticket | No Speeding Ticket | Total | |
---|---|---|---|
Red Car | 15 | 268 | 283 |
Not Red Car | 35 | 450 | 485 |
Total | 50 | 718 | 768 |
If one person is randomly selected from the group, what is the
probability that this person drives a red car or did not get a
speeding ticket?
Probability =
(Enter your answer as a reduced fraction.)
Unattempted Question 11
Check 1 ptRetries 1
A company has 4 mechanics and 9 electricians. If an employee is selected at random, what is the probability that they are an electrician?
Unattempted Question 12
Check 1 ptRetries 1
Eleven bands are to perform at a weekend festival. How many different ways are there to schedule their appearances?
Unattempted Question 13
Check 1 ptRetries 1
Based on historical data, an insurance company estimates that a
particular customer has a 2.4% likelihood of having an accident in
the next year, with the average insurance payout being $2300.
If the company charges this customer an annual premium of $150,
what is the company's expected value of this insurance
policy?
$
Unattempted Question 14
Check 1 ptRetries 1
Evaluate the following.
23C723C7 =
Unattempted Question 15
Check 1 ptRetries 1
A jury pool consists of 34 people, 16 men and 18 women. Compute the probability that a randomly selected jury of 12 people is all male.
Unattempted Question 16
Check 1 ptRetries 1
A bag of M&M's has 8 red, 5 green, 2 blue, and 4 yellow
M&M's. What is the probability of randomly picking:
(give answer as a reduced fraction)
1) a yellow?
2) a blue or green?
3) an orange?
Unattempted Question 17
Check 1 ptRetries 1
A race consists of 12 women and 11 men. Find the following
probabilities for the top three finishers:
P(all men) =
P(all women) =
P(2 men and 1 woman) =
P(1 man and 2 women) =
Round all answers to four decimal places.
Unattempted Question 18
Check 1 ptRetries 1
A card is drawn randomly from a standard 52-card deck. Find the
probability of the given event.
(a) The card drawn is 5
The probability is :
(b) The card drawn is a face card (Jack, Queen, or King)
The probability is :
(c) The card drawn is not a face card.
The probability is :
Unattempted Question 19
Check 1 ptRetries 1
Suppose a jar contains 10 red marbles and 32 blue marbles. If you reach in the jar and pull out 2 marbles at random, find the probability that both are red.
Unattempted Question 20
Check 1 ptRetries 1
Michael buys a bag of cookies that contains 5 chocolate chip
cookies, 5 peanut butter cookies, 5 sugar cookies and 9 oatmeal
cookies. What is the probability that Michael randomly selects an
oatmeal cookie from the bag, eats it, then randomly selects a
chocolate chip cookie? Express you answer as a reduced
fraction.
Unattempted Question 21
Check 1 ptRetries 1
Eight sprinters have made it to the Olympic finals in the 100-meter race. Suppose you want to determine how many different ways the gold, silver, and bronze medals can be awarded. Would you use a combination or a permtuation?
In: Statistics and Probability
I am trying to solve this problem, but I don't know which test to use:
For average risk funds only, test the proportion of funds with Sales Charges is not 50% use α = 0.10. Explain your conclusion.
Here is the contingency table with the data:
Sales charge | ||||
Yes | No | total | ||
Risk | Low | 6 | 8 | 14 |
Avg | 42 | 34 | 76 | |
High | 24 | 23 | 47 | |
Total | 72 | 65 | 137 |
Context of the problem:
Mutual funds are the most common way people invest for the future with more than $20 trillion in investment assets. They are so popular because they are a simple, convenient way to invest in stocks, bonds, money markets, commodities and other securities. Nearly half of all Canadian households invest in mutual funds. These professionally managed investment products use money from investors to create a diversified pool of securities to achieve a specific investment objective. Investors purchase shares, which represent ownership in the mutual fund. The price of the fund fluctuates based on the gain or loss of the securities that make up the fund.
Because each mutual fund has a specific investment objective, such as growth, capital preservation, or income, it is important to understand which funds are designed to meet the investor objectives. For example Asset Allocation Funds invest in a mix of stocks, bonds, alternatives and money market securities, whereas TK Funds emphasize on the Science and Technology stocks.
In: Statistics and Probability
A gender-selection technique is designed to increase the likelihood that a baby will be a girl. In the results of the gender-selection technique,961 births consisted of 501 baby girls and 460 baby boys. In analyzing these results, assume that boys and girls are equally likely.a.
Find the probability of getting exactly 501 girls in 961 births.
b. Find the probability of getting 501 or more girls in 961 births. If boys and girls are equally likely, is 501 girls in 961 births unusually high?
c. Which probability is relevant for trying to determine whether the technique is effective: the result from part (a) or the result from part (b)?
d. Based on the results, does it appear that the gender-selection technique is effective?
a.The probability of getting exactly 501 girls in 961 births is nothing.
(Round to four decimal places as needed.)
b.The probability of getting 501 or more girls in 961 births is nothing.
(Round to four decimal places as needed.)
If boys and girls are equally likely, is 501 girls in 961 births unusually high?
A.No, because 501 girls in 961 births is not far from what is expected, given the probability of having a girl or a boy.
B.No, because 501 girls in 961 births is far from what is expected, given the probability of having a girl or a boy.
C.Yes, because 501 girls in 961 births is not far from what is expected, given the probability of having a girl or a boy.
D.Yes, because 501 girls in 961 births is far from what is expected, given the probability of having a girl or a boy.
c. Which probability is relevant for trying to determine whether the technique is effective, the result from part (a) or the result from part (b)?
A.The result from part (b) is more relevant, because one wants the probability of a result that is at least as extreme as the one obtained.
The result from part (a) is more relevant, because one wants the probability of a result that is exactly equal to the one obtained.
C.
Neither of the results are relevant.
D.
The results from part (a) and part (b) are equal, so they are equally relevant.
d. Based on the results, does it appear that the gender-selection technique is effective?
A.
Yes,because the probability of having 501 or more girls in 961 births i unlikely,and thus,is not attributable to random chance.
B.No, because the probability of having 501 or more girls in 961 births is not unlikely,and thus, is attributable to random chance.
C.
Yes, because the probability of having 501 or more girls in 961 births is not unlikely, and thus,is not attributable to random chance.
D.
No,because the probability of having 501 or more girls in 961 births is not unlikely,and thus,is attributable to random chance.
In: Statistics and Probability
In: Statistics and Probability
1.) Use the given information below to answer the following questions.
a.) A sample of 25 lightbulbs was taken and it was found that the mean lifetime of a certain bulb for a movie projector is 520 hours with a standard deviation of 50 hours. The standing assumption of the manufacturing company is that the lifetime of this type pf bulb is no more than 500 hours. Assume a normal distribution. Does the data support the company’s claim at a level of significance of α = .10? Provide supporting explanation and show your work.
b.) A sample was taken of four dog treats and it was found that the mean grams of fat is 11 g with a standard deviation of 1.8 g. The standing assumption of the dog treat manufacturer is that the treats have 10 g of fat. Assume a normal distribution. Does the data support the company’s claim at a level of significance of α = .05? Provide supporting explanation and show your work.
In: Statistics and Probability
"Trydint" bubble-gum company claims that 5 out of 10 people
prefer their gum to "Eklypse". Test their claim at the 90
confidence level.
The null and alternative hypothesis in symbols would be:
The null hypothesis in words would be:
Based on a sample of 100 people, 39 said they prefer "Trydint" gum
to "Eklypse".
The point estimate is: (to 3 decimals)
The 90 % confidence interval is: to (to 3
decimals)
Based on this we:
Please explain how to solve on a TI-84 calculator. Thank you!!!
In: Statistics and Probability
In: Statistics and Probability
List at least 1 areas where predictive analytics have
been applied to healthcare, such as,
predicting hospital readmissions. Describe how that area
has been effected by predictive analytics.
In: Statistics and Probability
Use the following information to answer the questions. A more recent study of Feline High-Rise Syndrome (FHRS) included data on the month in which each of 119 cats fell ( Vnuk et al. 2004) The data are in the accompanying table. Can we infer that the rate of cat falling varies between months of the year?
Month Number fallen
January 4
February 6
March 8
April 10
May 9
June 14
July 19
August 13
September 12
October 12
November 7
December 5
Assume a catfall is equally likely to occur in each month and carry out a suitable test.
Assume a catfall is equally likely to occur on each day and carry out a suitable test. Use a calendar for a non-leap year to obtain the needed probabilities.
Which method out of (1.) and (2.) would be best to use, if it were reasonable to assume that a cat could fall at any moment? Explain, briefly.
In: Statistics and Probability
Explain statistical process control(SPC) and how it relates to continuous process improvement. Relate Demmings 14 Quality Points and explain how statistical data can assist with quality improvements efforts.
In: Statistics and Probability
Consider the following. (Give your answers correct to one decimal place.)
(a) Find the value χ2(14, 0.10).
(b) Find the value χ2(8, 0.025).
(c) Find the value χ2(6, 0.95).
(d) Find the value χ2(24, 0.90).
In: Statistics and Probability
A study of the ages of motorcyclists killed in crashes involves
the random selection of 164 drivers with a mean of 37.09 years.
Assuming that sigmaequals11.7 years, construct and interpret a
99% confidence interval estimate of the mean age of all
motorcyclists killed in crashes.
Click here to view a t distribution table.LOADING...
Click here to view page 1 of the standard normal distribution
table.LOADING...
Click here to view page 2 of the standard normal distribution
table.LOADING...
What is the 99% confidence interval for the population mean
u?
__<___ (Round to two decimal places as needed.)
In: Statistics and Probability
Compute 95% bootstrap confidence intervals for the mean time between failures 1/λ by the standard normal, basic, percentile, and BCa methods. Compare the intervals and explain why they may differ.
3, 5, 7, 18, 43, 85, 91, 98, 100, 130, 230, 487.
Use R software and provide with codes
In: Statistics and Probability
DATA 2
ID | X1 | X2 | X3 | Y |
A | 0 | 2 | 4 | 9 |
B | 1 | 0 | 8 | 10 |
C | 0 | 1 | 0 | 5 |
D | 1 | 1 | 0 | 1 |
E | 0 | 0 | 8 | 10 |
CORRELATION MATRIX
Y | X1 | X2 | X3 | |
Y | 1 | ? | -0.304 | +0.889 |
X1 | ? | 1 | -0.327 | 0 |
X2 | -0.304 | -0.327 | 1 | -0.598 |
X3 | +0.889 | 0 | -0.598 | 1 |
1. What is the sum of squares regression for the full model? (Correct answer is 58, please show me how to get there)
2. What is the residual error in using the full model to predict Y for ID C? (Correct answer is +1, please show me how to get there)
In: Statistics and Probability
Consider the value of t such that 0.05 of the area under the curve is to the left of t. Step 2 of 2: Assuming the degrees of freedom equals 25, select the t value from the t table.
In: Statistics and Probability