show your work please
Given the following data, answer the following questions: |
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(Assume the second column to be the dependent variable) |
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a) Construct the scatter diagram. |
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b) Compute the linear correlation coefficient r and value of r-critical. |
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c) Is r statistically significant at an alpha of 5%?. Explain why or why not |
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d) What is the standard error of regression? |
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e) Identify any outliers (do not remove them). Show your work. If no outliers, indicate N/A |
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f) Compute the equation of line of best fit |
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g) Perform a hypothesis to test the claim of a linear relationship at 5%? |
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h) Assuming that the data is statistically significant, what is brain area of someone who IQ of 100? |
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IQ | AREA |
96 | 1913.88 |
89 | 1684.89 |
87 | 1902.36 |
87 | 1860.24 |
101 | 2264.25 |
103 | 2216.4 |
103 | 1866.99 |
96 | 1850.64 |
127 | 1743.04 |
126 | 1709.3 |
101 | 1689.6 |
96 | 1806.31 |
93 | 2136.37 |
88 | 2018.92 |
94 | 1966.81 |
85 | 2154.67 |
97 | 1767.56 |
114 | 1827.92 |
113 | 1773.83 |
124 | 1971.63 |
final answers
a) scatterplot | ||||||
b) cor. coeff. | ||||||
r-critical | ||||||
c) stats sig? | <=== YES or NO | |||||
why or why not? | ||||||
d) std err of regr | ||||||
e) list outliers | ||||||
f) equation | ||||||
g) Hypothesis | ||||||
Test Statistic | ||||||
p-value | ||||||
Decision | ||||||
Conclusion | ||||||
h) prediction |
In: Statistics and Probability
-A consumer organization inspecting new cars found that many had appearance defects (dents, scratches, paint chips, etc.). While none had more than three of thesedefects,
6% had three, 12% had two, and 26% had one defect. Find the expected number of appearance defects in a new car and the standard deviation. Compute the expected value of the number of appearance defects.
E(appearance
defects)equals=. 68.68
(Round to two decimal places as needed.)
Compute the standard deviation of the number of appearance defects.
SD(appearance
defects)equals= _____________________
(Round to two decimal places as needed.)
-A salesman normally makes a sale (closes) on 70% of his presentations. Assuming the presentations are independent, find the probability of each of the following.
a) He fails to close for the first time on his sixth attempt.
b) He closes his first presentation on his fifth attempt.
c) The first presentation he closes will be on his second attempt.
d) The first presentation he closes will be on one of his first three attempts.
A manufacturer of game controllers is concerned that its controller may be difficult for left-handed users. They set out to find lefties to test. About 11% of the population is left-handed. If they select a sample of 99 customers at random in their stores, what is the probability of each of the outcomes described in parts a through f below?
a) The first lefty is the third person chosen.The probability is _____________________
(Round to four decimal places as needed.)
b) There are some lefties among the 99 people.The probability is _______________________
(Round to four decimal places as needed.)
c) The first lefty is the second or third person. The probability is __________________________
(Round to four decimal places as needed.)
d) There are exactly 3 lefties in the group. The probability is __________________________
(Round to four decimal places as needed.)
e) There are at least 3 lefties in the group. The probability is __________________________
(Round to four decimal places as needed.)
f) There are no more than 3 lefties in the group. The probability is _________________________
(Round to four decimal places as needed.)
In: Statistics and Probability
Show your work please
Below are the results of a study. Through the sample of the
first 49 Super Bowls, |
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a) What is the range of the confidence interval? |
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b) Does the confidence interval support the decision of the hypothesis test? |
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c) Explain why or why not |
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Alpha | 0.001 | |
x | 28 | |
n | 49 | |
p-hat | 0.57 | |
Hyposized p > | 0.5 | |
Tails | 1 | |
z statistic | 1.000 | |
p-value | 0.1587 | Fail to Reject Ho |
final answers
a) CI range | ||||||
b) Confirms? | <=== YES or NO | |||||
c) why or why not? |
In: Statistics and Probability
Two fair dice are tossed together. Let X be the sum and Y the product of the two numbers on the top of the dice. Calculate E(X+ 3Y).
In: Statistics and Probability
Show your work please
A random sample of 20 aluminum cola cans is selected and the axial loads are measured and the variance is 345.96 lb. Use a 0.05 significance level to test the claim that cans have axial loads with the smaller variance than 772.84 lb.
final answers
Hypothesis | ||||||
Test Statistic | ||||||
p-value | ||||||
Decision | ||||||
Conclusion |
In: Statistics and Probability
The mean annual salary offer for a student graduating with a
degree in accounting (in 2010) was $48,722.
Suppose that a randomly selected sample of 20 accounting graduates
shows an average salary offer of $49,850 with a standard deviation
of $3300.
A. How many degrees of freedom are there for the t
distribution?
B. Assume that the population distribution is normal. What is the value of the test statistic, t? Give your answer to two decimal places.
C. If we use a significance level of 0.05, what is the critical
value of t? (Hint: Use the attached table. Is this for a one-sided
or two-sided test?)
In: Statistics and Probability
A group of 9 friends includes 4 Americans, 2 Canadians, and 3 Italians. Three friends are to be selected at random for a trip. Let X denote the number of Americans and Y be the number of Canadians selected at random among the three friends selected for a trip.
1) Find the joint probability density function of the random variables X and Y and the marginal density functions.
2) Find Cov(2X-1, -Y+1).
In: Statistics and Probability
A sample of size n = 16 is made from a normal distribution with
mean μ. It
turns out that the sample mean is x = 23 and the sample standard
deviation is s = 6.
Construct a 90% confidence interval for μ.
In: Statistics and Probability
A study was conducted to find out if eating whole-wheat products
was associated with a reduction
in body mass index (BMI) in adults. Researchers randomly assigned
participants into two groups
(eaters and non-eaters of whole-eat products) for a two-month
period. The average BMI reduction
for the 155 adults who ate whole-wheat products was 2.3 and the
standard deviation was 1.1.
For the 148 adults who did not eat whole-wheat products the average
BMI reduction was 1.2 and
the standard deviation was 0.8. Considering a level of significance
of 0.05 (5%), build a test of
hypotheses to assess whether the average reduction in BMI would be
different between eaters and
non-eaters of whole-wheat products for the population of adults
similar to the ones in this study.
a) Is this a one-sided or a two-sided test? Why?
b) Specify all four steps of your hypothesis test. Show all
calculation detail
In: Statistics and Probability
The admission office wants to estimate the mean age of all students enrolled at ZU. The estimate must be within half year of the population mean. Assume the population of ages is normally distributed. Also assume that the population standard deviation is 1.4 years.
1- Determine the minimum sample size required to construct a 90% confidence interval for the population mean ?....
2-Repeat part (a) using a 99% confidence interval ? .....
3-Which level of confidence requires a larger sample size? Explain ....
In: Statistics and Probability
In: Statistics and Probability
2.
Complete the problems below.
a. A sample 81 desktop PCs have a mean lifespan of 7.5 years and a sample standard deviation of 3.2 years. Construct a 99% confidence interval for the mean lifespan of desktop PCs.(ROUND TO 3 DECIMAL PLACES)
Confidence Interval ( ___________________Q6 , ___________________Q7)
b. When consumers apply for credit, their credit is rated using FICO scores. Credit ratings are given below for a sample of car loan applicants. Use the sample data to construct a 99% confidence interval for the mean FICO score of all applicants for credit.
(ROUND TO THE NEAREST WHOLE NUMBER) assume requirements are fulfilled.
661 595 548 730 791 678 672 491 492 583 762 624 769 729 734 706
Confidence Interval ( ___________________Q8 , ___________________Q9)
c. The IQ scores of the normal adult population has a mean of 100 IQ points and the standard deviation is 15 IQ points.
Find the sample size needed to estimate the mean IQ of professors given we want 93% confidence that the sample mean is within 4 IQ points of the population
mean.
(USE YOUR ANSWER FROM PROBLEM #1a for critical value).
n=_____________Q10
In: Statistics and Probability
1) What is the value of b1? X: 12, 21, 28, 8, 20. Y: 17, 15, 22, 19, 24
2) What is the value of b0? X: 12, 21, 28, 8, 20. Y: 17, 15, 22, 19, 24
3) What is the equation of the y-hat estimator line? X: 12, 21, 28, 8, 20. Y: 17, 15, 22, 19, 24.
a. Y=0.162-16.51x b. y=0.162+16.51x c. Y=16.51-0.162x d. Y=16.51+0.162x
4) If x is increased by 10 units, how much does y-hat change?
5) Assume b0=12.953, and b1=-2.5. For x=25, predict y.
6) How much correlation is there between x and y? X: 12, 21, 28, 8, 20. Y: 17,15, 22, 19, 24.
7) How much of the variability in y is explained by x? X: 12, 21, 28, 8, 20. Y: 17, 15, 22, 19, 24.
8) Executives of a video rental chain want to predict the success o a potential new store. The company's researcher beings by gathering information on number o rentals and average family income from several of the chain's present outlets. The results of that effort are available in the attached data file.
rentals: 710, 529, 314, 504, 619, 428, 317, 205, 468, 545, 607, 694.
Average family income ($1,000): 65, 43, 29, 47, 52, 50, 46, 29, 31, 43, 49, 64
a. y=10.626+9.729x b. y=9.729+10.626x c. y=10.626-9.729x d. y=-9.729-10.626x
9) Following Question 8, How much correlation exists between x and y?
10)Following question 8, How much of the variation in y is accounted for by x?
In: Statistics and Probability
The motion picture industry is a competitive business. More than 50 studios produce several hundred new motion pictures each year, and the financial success of the motion pictures varies considerably. The opening weekend gross sales, the total gross sales ($ millions), the total gross sales ($millions), the number of theaters the movie was shown in, and the number of weeks the motion picture was in release are common variables used to measure the success of a movie. Data on the top 100 grossing motion pictures released in 2016 (Box Office Mojo website) are contained in a file named Movies2016. Table 3.10 below shows the data for the first 10 motion pictures in this file.
Use the numerical methods of descriptive statistics presented in this chapter to learn how these variables contribute to the success of a motion picture. Include the following in your report:
1. Descriptive statistics for each of the four variables along with a discussion of what the descriptive statistics tell us about the motion picture industry.
2. What motion pictures, if any, should be considered high-performance outliers? Explain.
3. Descriptive statistics showing the relationship between total gross sales and each of the other variables. Discuss.
In: Statistics and Probability
Find critical value tα/2 for n = 15 and 98% confidence level.
A.±2.6245
B.±2.4142
C.±2.4460
D.±2.5551
In: Statistics and Probability