# Download 1. (A) Classify the following as an example of nominal, ordinal

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```1. (A) Classify the following as an example of nominal, ordinal, interval, or ratio level of
measurement, and state why it represents this level: rankings of the top ten best-selling authors
Ordinal level of measurement, because it assigns and orders the sellers according to their
rankings
(B) Determine if this data is qualitative or quantitative: Five violent crimes per week
Quantitative
(C) In your own line of work, give one example of a discrete and one example of a continuous
random variable, and describe why each is continuous or discrete.
Discrete variable: Number of family members, because it can take only integral values.
Continuous variable: Height, because it can take all values within a range.
2. Two popular over-the-counter antacids are compared to determine which brand is preferred.
Three hundred subjects are randomly selected then divided into two groups of 150 each, and
given one of the two antacids. The researchers in the study were unaware of which antacid was
administered at any time during the study.
I. What is the population?
All users of the antacids
II. What is the sample?
300 selected subjects
Experimental, because subjects were controlled by the researcher’s treatments
IV. What are the variables?
Variables are brand of antacid preferred and number of subjects that prefer it.
V. For each of those variables, what level of measurement (nominal, ordinal, interval, or ratio)
was used to obtain data from these variables?
Brank of antacid preferred is nominal level while number of subject preferring is ratio
level.
3. Construct both an ungrouped and a grouped frequency distribution for the data given below:
68 74 72 68 61 60 72 73 60 66
73 73 71 65 68 60 71 66 72 61
Ungrouped frequency distribution
Data
Frequency
60
3
61
2
65
1
66
2
68
3
71
2
72
3
73
3
74
1
Grouped frequency distribution
Class
60-62
63-65
66-68
69-71
72-74
Frequency
5
1
5
2
7
4. Given the following frequency distribution, find the mean, variance, and standard deviation.
Class Frequency
61-63 21
64-66 25
67-69 20
70-72 14
73-75 21
N = 21+25+20+14+21 = 101
Mean = (21*62+25*65+20*68+14*71+21*74)/101 = 67.67
Variance = (21*(62-67.67)^2+25*(65-67.67)^2+20*(68-67.67)^2+14*(71-67.67)^2+21*(7467.67)^2)/100 = 18.522
Standard deviation = sqrt(18.522) = 4.3
5. The following data lists the average monthly snowfall for January in 15 cities around the US:
12 40 24 18 38 47 37 13
14 1 29 11 38 30 10
Find the mean, variance, and standard deviation. Please show all of your work.
Mean = (12+40+24+18+38+47+37+13+14+1+29+11+38+30+10)/15 = 24.13
Variance = ((12-24.13)^2+(40-24.13)^2+(24-24.13)^2+(18-24.13)^2+(38-24.13)^2+(4724.13)^2+(37-24.13)^2+(13-24.13)^2+(14-24.13)^2+(1-24.13)^2+(29-24.13)^2+(1124.13)^2+(38-24.13)^2+(30-24.13)^2+(10-24.13)^2)/(15-1) = 192.98
Standard deviation = sqrt(192.98) = 13.89
6. Rank the following data in increasing order and find the positions and values of both the 32nd
171547730405
Order:0 0 1 1 3 4 4 5 5 7 7 7
Rank: 1 2 3 4 5 6 7 8 9 10 11 12
For 32nd percentile R = (12+1)*32/100 = 4.16. So, 32nd percentile = 1+0.16*(3-1) = 1.32
For 74th percentile, R = (12+1)*74/100 = 9.62. So, 74th percentile = 5+0.62*(7-5) = 6.24
7. For the table that follows, answer the following questions:
Xy
1 -8
2 -11
3 -14
4
- Would the correlation between x and y in the table above be positive or negative?
Negative
- Find the missing value of y in the table.
Missing value = -17
- How would the values of this table be interpreted in terms of linear regression?
There is strong inverse linear relationship between x and y
- If a "line of best fit" is placed among these points plotted on a coordinate system, would the
slope of this line be positive or negative?
Negative
8. Determine whether each of the distributions given below represents a probability distribution.
(A)
x
1
2
3
4
P(x)
1/4
1/12
1/3
1/6
Not a probability distribution, because Σ P(x) ≠ 1
(B)
x
3
6
8
P(x)
0.2
2/5
0.3
Not a probability distribution, because Σ P(x) ≠ 1
(C)
x
20
30
40
50
P(x)
3/10
-0.1
0.5
0.3
Not a probability distribution because P(30) is negative
9. A set of 50 data values has a mean of 45 and a variance of 9.
I. Find the standard score (z) for a data value = 52.
Z = (52-45)/sqrt(9) = 2.3333
II. Find the probability of a data value < 52.
P(x<52) = P(z< 2.3333) = 0.9902
III. Find the probability of a data value > 52.
P(x>52) = P(z>2.3333) = 0.0098
(A) Find the binomial probability P(x = 4), where n = 12 and p = 0.70.
P(x=4) = (12!/(4!*(12-4)!))*0.7^4*(1-0.7)^8 = 0.00779
(B) Set up, without solving, the binomial probability P(x is at most 4) using probability notation.
P(x≤4) = P(0)+P(1)+P(2)+P(3)+P(4)
(C) How would you find the normal approximation to the binomial probability P(x = 4) in part
A? Please show how you would calculate µ and σ in the formula for the normal approximation to
the binomial, and show the final formula you would use without going through all the
calculations.
µ = np = 12*0.7 = 8.4
σ = sqrt(n*p*(1-p)) = sqrt(12*0.7*0.3) = 1.5875
P(x=4) = e^(-(4-8.4)^2/(2*1.5875^2))/sqrt(2*pi*1.5875^2)
11. Describe what a type I and type II error would be for each of the following null hypotheses:
: There is no good plan for the Iraq war.
Type I error: Conclude that there is a good plan when actually there is no good plan.
Type II error: Conclude that there is no good plan when actually there is a good plan
12. A researcher claims that the average age of people who buy theatre tickets is 49. A sample of
30 is selected and their ages are recorded as shown below. The standard deviation is 7. At a =
0.05 is there enough evidence to reject the researcher's claim? Show all work.
50
46
54
48
52
49
46
44
48
53
44
49
57
60
58
51
56
50
55
53
45
52
45
60
52
59
54
59
51
59
Ho: Average age is 49
H1: Average age is different from 49
Sample mean = 51.967
z-statistic = (51.967-49)/(7/sqrt(30)) = 2.3216
critical value = ±1.96
critical region: z<-1.96 or z>1.96
Since z-statistic lies in critical region, null hypothesis is rejected.
There is enough evidence to reject researcher’s claim.
13. Write a correct null and alternative hypothesis that tests the claim that the mean distance a
student commutes to campus is no less than 9.7 miles?
Null hypothesis: Mean distance a student commutes to campus is less than 9.7 miles.
Alternative hypothesis: Mean distance a student commutes to campus is greater than or
equal to 9.7 miles.
```
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