Question
In: Statistics and Probability
A set of data contains 40 observations. The lowest value is 50 and the largest is...
A set of data contains 40 observations. The lowest value is 50 and the largest is 119. The data are to be organized into a frequency distribution.
a. How many classes would you suggest?
b. What would you suggest as the lower limit of the first class?
Solutions
orchestra answered 2 years agoRelated Solutions
A data set has 1000 observations. In the data, a quantitative variable's highest value is 780...
A data set has 1000 observations. In the data, a quantitative
variable's highest value is 780 and its lowest value is 95. a) How
many number of classes would you recommend? b) What is the class
interval that you would recommend?
Using the data set below: Score Frequency 20-30 5 30-40 8 40-50 13 50-60 12 60-70...
Using the data set below:
Score
Frequency
20-30
5
30-40
8
40-50
13
50-60
12
60-70
5
Draw a Histogram
Draw a polygon
After listening to YouTube “histogram and polygon,”
explain how histogram is different and similar to
polygon.
The accompanying data file contains 20 observations for t and yt.
The accompanying data file contains 20 observations for t and
yt.
t
1
2
3
4
5
6
7
8
9
10
yt
12.1
12.2
9.3
12.8
8.6
9.3
14.3
12.1
11.5
15.1
t
11
12
13
14
15
16
17
18
19
20
yt
13.5
9.8
9.6
14.5
14.9
12.4
11.2
8.8
11.8
10
a. Discuss the presence of random
variations.
The smoother appearance of the graph suggests the presence of
random variations.
The smoother appearance of the graph...
For the data set shown below x y 20 98 30 95 40 91 50 83...
For the data set shown below
x y
20 98
30 95
40 91
50 83
60 70
(a) Use technology to find the estimates of β0
and β1.
β0≈b0equals=114.60
(Round to two decimal places as needed.)
β1≈b1=−0.68
(Round to two decimal places as needed.)
(b) Use technology to compute the standard
error, the point estimate for σ.
Se=__?__
(Round to four decimal places as needed.)
For the data set shown below x y 20 98 30 95 40 91 50 83...
For the data set shown below
x y
20 98
30 95
40 91
50 83
60 70
(a) Use technology to find the estimates of β0 and β1.
β0 ≈b0=114.60
(Round to two decimal places as needed.)
β1≈b1=−0.68
(Round to two decimal places as needed.)
(b) Use technology to compute the standard error, the point
estimate for σ.
se=3.7771
(Round to four decimal places as needed.)
(c) Assuming the residuals are normally distributed, use
technology to determine sb1.
sb1equals=0.1194...
What is median of a set of data? How is median represented for a set of n observations when:
What is median of a set of data? How is median represented for a set of n observations when
i) n is odd,
ii) n is even.
iii) weighted median of frequency distribution
The accompanying data file contains 20 observations for t and yt. The data are plotted below....
The accompanying data file contains 20 observations for
t and yt.
The data are plotted below.
t
1
2
3
4
5
6
7
8
9
10
yt
10.8
14.1
10.3
10.9
11.3
13.5
10.7
9.2
8.8
12
t
11
12
13
14
15
16
17
18
19
20
yt
9.8
11
15.1
12.5
12.9
12.3
9
14.9
10.1
11.9
b-1. Use the exponential smoothing method to make
forecasts with α = 0.2. (Round intermediate
calculations to at least 4...
A data was collected for 50 observations on the mass of cup lump rubber as shown...
A data was collected for 50
observations on the mass of cup lump rubber as shown in Table 2.
No. of subgroup n is 5.
Table 2
Sample nos.
x1
x2
x3
x4
x5
1
1.6347
1.569
1.6944
1.4673
1.6691
2
1.4314
1.3592
1.6075
1.4666
1.6109
3
1.4284
1.4871
1.4932
1.4324
1.5914
4
1.5028
1.6352
1.3841
1.2831
1.5507
5
1.5604
1.2735
1.5265
1.4363
1.6444
6
1.5955
1.5451
1.3574
1.3281
1.4194
7
1.6274
1.5064
1.8366
1.4111
1.5144
8
1.4190
1.4303
1.6637...
Using R program and with a For loop. Assuming a data set of 1000 observations and...
Using R program and with a For loop.
Assuming a data set of 1000 observations and 10 predictors. How
would one use a for loop to cycle through different proportions of
training and test sizes.
For example,
20% of data goes to training and 80% for test in first
iteration. Each iteration adding another 10% to the training set.
So first set= (20% train, 80% test), second set = (30% train, 70%
test), third set= (40% train,60%test) and so on....
Given a data set with 100 observations, a goodness of fit test to see if a...
Given a data set with 100 observations, a goodness of fit test
to see if a sample follows a uniform distribution or a poisson
distribution or a normal distribution will have the same number of
degrees of freedom. true or false
and
When a contingency table of expected frequencies is constructed,
the null hypothesis is that all of the cells in the table are
equally likely. true or false
thank you :)
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