Suppose Students’ scores on the SAT are normally distributed with μ= 1509 and σ= 321
What is the minimum score that would put a student in the top 5% of SAT scores?
In: Statistics and Probability
Let x be a random variable that represents the pH of arterial plasma (i.e., acidity of the blood). For healthy adults, the mean of the x distribution is μ = 7.4.† A new drug for arthritis has been developed. However, it is thought that this drug may change blood pH. A random sample of 31 patients with arthritis took the drug for 3 months. Blood tests showed that x = 8.1 with sample standard deviation s = 1.9. Use a 5% level of significance to test the claim that the drug has changed (either way) the mean pH level of the blood
In: Statistics and Probability
In a large city, the population proportion of residents favoring an increase in electricity price is P = 0.35. A random sample of n = 144. Use p to denote the sample proportion of residents favoring the increase in electricity price.
1. The mean (or expected value) of the sample proportion p is
2. The standard deviation of the sample proportion P is closest to
3. The probability that the sample proportion P is less than or equal to 0.40 is closest to
4. The probability that the sample proportion P is larger than 0.32 is closest to
5. The probability that the sample proportion P is larger than 0.38 is closest to
In: Statistics and Probability
Population 1 |
Population 2 |
Population 3 |
Ave. |
|
1 |
13, 12, 14 |
17, 13, 15 |
9, 13,11 |
13 |
2 |
12, 10, 8 |
15, 13, 14 |
11, 7, 9 |
11 |
3 |
12, 13, 14 |
14, 18, 16 |
16, 16, 16 |
15 |
Means |
12 |
15 |
12 |
13 |
a. What is the value of the Treatment Sum of Squares:………………………..
b. The value of the Sum of Squares Total:……….. c. The value of the Error Sum of Squares:…………..
d. Complete the Anova Table:
Source |
Sum of Squares |
D. F. |
Mean Square |
F |
Treatment |
||||
Error |
||||
Total |
e. State the Null Hypothesis Ho, and the Alternate Ha:
Ho: Ha:
f. Do you reject the Null Hypothesis?........................
In: Statistics and Probability
Consider the following hypotheses:
H0: μ = 30
HA: μ ≠ 30
The population is normally distributed. A sample produces the following observations:
33 | 26 | 29 | 35 | 31 | 35 | 31 |
At the 10% significance level, what is the conclusion?
a) Reject H0 since the p-value is greater than α.
b) Reject H0 since the p-value is smaller than α.
c) Do not reject H0 since the p-value is greater than α.
d) Do not reject H0 since the p-value is smaller than α.
Interpret the results αα = 0.1.
a) We conclude that the sample mean differs from 30.
b) We cannot conclude that the population mean differs from 30.
c) We conclude that the population mean differs from 30.
d) We cannot conclude that the sample mean differs from 30.
In: Statistics and Probability
A CI is desired for the true average stray-load loss μ (watts) for a certain type of induction motor when the line current is held at 10 amps for a speed of 1500 rpm. Assume that stray-load loss is normally distributed with σ = 2.6. (Round your answers to two decimal places.)
(a) Compute a 95% CI for μ when n = 25 and x = 56.2.
(_____,______) watts
(b) Compute a 95% CI for μ when n = 100 and
x = 56.2.
(_____,______) watts
(c) Compute a 99% CI for μ when n = 100 and
x = 56.2
(_____,______) watts.
(d) Compute an 82% CI for μ when n = 100 and x = 56.2.
(_____,______) watts
(e) How large must n be if the width of the 99%
interval for μ is to be 1.0? (Round your answer up to the
nearest whole number
n = _____
In: Statistics and Probability
A cyclist won a bicycle race for seven consecutive years. His "winning" times and "victory" margins (time difference of the second place finisher) are given in the figure below.
Year | Time (h:m:s) |
Margin (m:s) |
---|---|---|
1999 | 91:32:19 | 7:35 |
2000 | 92:33:07 | 6:07 |
2001 | 86:17:27 | 6:41 |
2002 | 82:05:12 | 7:18 |
2003 | 83:41:12 | 1:05 |
2004 | 83:36:05 | 6:13 |
2005 | 86:15:05 | 4:20 |
(a) Find the mean, median and mode of the cyclist's times. (If an answer does not exist, enter DNE.)
mean | : : h:m:s |
median | : : h:m:s |
mode | : : h:m:s |
(b) Find the mean, median and mode of the cyclist's margins. (If an
answer does not exist, enter DNE.)
mean | : m:s |
median | : m:s |
mode | : m:s |
In: Statistics and Probability
A random sample of 29 pairs of observation from a normal population gives correlation coefficient of 0.64. Is it likely that variables in the population are uncorrelated at 5% L.O.S?
In: Statistics and Probability
When you purchase a car, you may consider buying a brand-new car
or
a used one. A fundamental trade-off in this case is whether you
pay
repair bills (uncertain at the time you buy the car) or make loan
payments
that are certain.
Consider two cars, a new one that costs $15,000 and a used one
with
75,000 miles for $5,500. Let us assume that your current car’s
value and
your available cash amount to $5,500, so you could purchase the
used car
outright or make a down payment of $5,500 on the new car. Your
credit
union is willing to give you a five-year, 10% loan on the $9,500
difference
if you buy the new car; this loan will require monthly payments of
$201.85
per month for 5 years. Maintenance costs are expected to be $100
for the
first year and $300 per year for the second and third years.
After taking the used car to your mechanic for an evaluation,
you
learn the following. First, the car needs some minor repairs within
the
next few months, including a new battery, work on the suspension
and
steering mechanism, and replacement of the belt that drives the
water
pump. Your mechanic has estimated that these repairs will cost
$150.
Considering the amount you drive, the tires will last another year
but will
have to be replaced next year for about $200. Beyond that, the
mechanic
warns you that the cooling system (radiator and hoses) may need to
be
repaired or replaced this year or next and that the brake system
may need
work. These and other repairs that an older car may require could
lead
you to pay anywhere from $500 to $2,500 in each of the next 3
years. If
you are lucky, the repair bills will be low or will come later. But
you
could end up paying a lot of money when you least expect it.
Draw a decision tree for this problem. To simplify it, look at
the situation
on a yearly basis for 3 years. If you buy the new car, you
can
anticipate cash outflows of 12 × $201.85 = $2,422.20 plus
maintenance
costs. For the used car, some of the repair costs are known
(immediate
repairs this year, tires next year), but we must model the
uncertainty
associated with the rest. In addition to the known repairs, assume
that in
each year there is a 20% chance that these uncertain repairs will
be $500,
a 20% chance they will be $2,500, and a 60% chance they will
be
$1,500. (Hint: You need three chance nodes: one for each
year!)
To even the comparison of the two cars, we must also consider
their
values after 3 years. If you buy the new car, it will be worth
approximately
$8,000, and you will still owe $4,374. Thus, its net salvage
value
will be $3,626. On the other hand, you would own the used car
free
and clear (assuming you can keep up with the repair bills!), and
it
would be worth approximately $2,000.
Include all of the probabilities and cash flows (outflows until
the
last branch, then an inflow to represent the car’s salvage value)
in your
decision tree. Calculate the net values at the ends of the
branches.
In: Statistics and Probability
1. A study of sterility in the fruit fly reports the following data on the number of ovaries developed by each female fly in a sample of size 1386. One model for unilateral sterility states that each ovary develops with some probability p independently of the other ovary. Test the fit of this model using χ2. (Use α = 0.05.)
x= Number of Ovaries Developed | 0 | 1 | 2 |
Observed Count | 1211 | 116 | 59 |
Calculate the test statistic (Round your answer to two decimal places
2. The accompanying data refers to leaf marks found on white clover samples selected from both long-grass areas and short-grass areas. Use a χ2 test to decide whether the true proportions of different marks are identical for the two types of regions. (Use α = 0.01.)
Type of Mark
L | LL | Y+YL | O | Others | Sample Size | |
Long grass areas | 402 | 11 | 22 | 7 | 277 | 719 |
Short grass areas | 519 | 4 | 14 | 220 | 768 |
Calculate the test statistic (Round your answer to two decimal places)
In: Statistics and Probability
Q3. A sample of single persons in Towson, Texas,
receiving Social Security payments
revealed these monthly benefits: $852, $598, $580, $1,374, $960,
$878, and $1,130.
(a) What is the median monthly benefit?
(b) How many observations are below the median? Above it?
In: Statistics and Probability
Each student taking the probability calculus exam draws a card from 2 out of 40 different questions. In order to pass the exam, you have to answer both questions from the card or one question from the card and an additional question indicated by the examiner from another card. Max went to the exam, but knew the answer to only 33 questions. Calculate the probability that Max
(a) he passed the exam,
(b) answered both questions from a drawn sheet of card, if known to
have passed the examination.
(c) answered one question on a drawn sheet of card if known not to
have passed the examination.
In: Statistics and Probability
Statistics
EXERCISE 17. A die is cast three times. What is the probability a) of not getting three 6´s in succession? b) that the same number appears three times? Answer. a) 215/216. b) 6/216.
EXERCISE 18. A die is thrown three times. What is the probability a) that the sum if the three faces shown is either 3 or 4? b) that the sum if the three faces shown is greater than 4? Answer. a) 4/216. b) 212/216.
EXERCISE 19. A hunter fires 7 consecutive bullets at an angry tiger. If the probability that 1 bullet will kill is 60%, what is the probability that the hunter is still alive? Answer. 99,83616%.
EXERCISE 20. According to the U. S. Census Bureau, 62% of Americans over the age of 18 are married. Find the probability of getting two married people (not necessarily to each other) when two different Americans over the age of 18 are randomly selected. Answer. 38,4%.
EXERCISE 21. A Roper poll showed that 18% of adults regularly engage in swimming. If three adults are randomly selected, find the probability that they all regularly engage in swimming. Answer. 0,583%.
EXERCISE 22. Four firms using the same auditor independently and randomly select a month in which to conduct their annual audits. What is the probability that all four months are different? Answer. 55/96.
Please show your workings. I have provide you with the possible answers. Some of them might be wrong though. If there is not gonna be enough space you can show your working on a picture. Thank you in advance!
In: Statistics and Probability