Question

In: Statistics and Probability

a/Use Excel to find the discrete probability and cumulative probability of the Binomial distribution with probability...

a/Use Excel to find the discrete probability and cumulative probability of the Binomial distribution with probability of success p = 0.75 and n = 80. Find its mean and variance. b/Based upon Excel chart, what can you conclude about the binomial convergence? Hint: Use binom.dist function on Excel and sketch the curve.

Solutions

Expert Solution

Find its mean and variance.

We are given n =80, p = 0.75, q = 1 – p = 1 – 0.75 = 0.25

Mean = n*p =80*0.75 = 60

Variance = n*p*q = 80*0.75*0.25 = 15

Based upon the chart on Excel, what can you conclude about the binomial convergence?

Use binom.dist function on Excel and sketch the curve.

Required excel chart and sketch is given as below:

x P(X)
0 6.84228E-49
1 1.64215E-46
2 1.94594E-44
3 1.51784E-42
4 8.7655E-41
5 3.99707E-39
6 1.4989E-37
7 4.75366E-36
8 1.30131E-34
9 3.12315E-33
10 6.65232E-32
11 1.26999E-30
12 2.19073E-29
13 3.43776E-28
14 4.93564E-27
15 6.51504E-26
16 7.94021E-25
17 8.96777E-24
18 9.41616E-23
19 9.21792E-22
20 8.4344E-21
21 7.22948E-20
22 5.81645E-19
23 4.40027E-18
24 3.13519E-17
25 2.10685E-16
26 1.33704E-15
27 8.02223E-15
28 4.55548E-14
29 2.45054E-13
30 1.24977E-12
31 6.04729E-12
32 2.77797E-11
33 1.21221E-10
34 5.02709E-10
35 1.98211E-09
36 7.43291E-09
37 2.65174E-08
38 9.00197E-08
39 2.90833E-07
40 8.94311E-07
41 2.61749E-06
42 7.29159E-06
43 1.93312E-05
44 4.87673E-05
45 0.000117042
46 0.00026716
47 0.000579795
48 0.001195826
49 0.002342843
50 0.004357689
51 0.007690039
52 0.012866027
53 0.020391438
54 0.030587158
55 0.043378151
56 0.058095738
57 0.07338409
58 0.087301762
59 0.097659598
60 0.102542578
61 0.100861552
62 0.092727556
63 0.079480763
64 0.063336233
65 0.046771372
66 0.031889572
67 0.019990478
68 0.011465127
69 0.005981805
70 0.002819994
71 0.001191547
72 0.00044683
73 0.000146903
74 4.16887E-05
75 1.00053E-05
76 1.97473E-06
77 3.0775E-07
78 3.55096E-08
79 2.69693E-09
80 1.01135E-10

#Yes, it converges


Related Solutions

Part 1 Select the appropriate discrete probability distribution. If using a binomial distribution, use the constant...
Part 1 Select the appropriate discrete probability distribution. If using a binomial distribution, use the constant probability from the collected data and assume a fixed number of events of 20. If using a Poisson distribution, use the applicable mean from the collected data. art 2 Using the mean and standard deviation for the continuous data, identify the applicable values of X for the following: Identify the value of X of 20% of the data, identify the value of X for...
Use Excel to generate the probability distribution for a binomial random variable for which there are...
Use Excel to generate the probability distribution for a binomial random variable for which there are 20 trials (n = 20) and the probability of success is 0.5 (p = 0.5), and show the graph.
DIRECTIONS: For items 1a-c The Cumulative Binomial Probability Distribution to determine the Cumulative Probabilities for the...
DIRECTIONS: For items 1a-c The Cumulative Binomial Probability Distribution to determine the Cumulative Probabilities for the Binomial Random Variable, X. 1a. According to the Gallup poll, P = 0.60 of U.S. women 18+ years of age stated that the minimum driving age should be 18. In a random sample of n = 15, U.S. women 18+ years of age, find the probability that: P(x < 5) believe that the minimum driving age should be 18 (1 pt): Between P (7...
Discrete R.V and Probability Distribution
A new battery's voltage may be acceptable (A) or unacceptable (U). A certain ash-light requires two batteries, so batteries will be independently selected and tested until two acceptable ones have been found. Suppose that 90% of all batteries have acceptable voltages. Let Y denote the number of batteries that must be tested. (a) What is p(2), that is, P(Y = 2)? (b) What is p(3)? [Hint: There are two different outcomes that result in Y = 3.] (c) To have...
Discrete R.V and Probability Distribution
An insurance company offers its policyholders a number of different premium payment options. For a randomly selected policyholder, let X be the number of months between successive payments. The cdf of X is as follows: \( F(x)=\begin{cases} 0,\hspace{7mm} x < 1 & \quad \\ 0.10, \hspace{2mm}1\leq x < 3 & \quad \\ 0.40, \hspace{2mm}3 \leq x < 7 & \quad \\ 0.80, \hspace{2mm} 7 \leq x < 12 & \quad \\ 1,\hspace{7mm} 12 \leq x: & \quad \end{cases} \) (a)...
Discrete R.V and Probability Distribution
A mail-order computer business has six telephone lines. Let X denote the number of lines in use at a specified time. Suppose the pmf of X is as given in the accompanying table. Calculate the probability of each of the following events. (a) At most three lines are in use. (b) Fewer than three lines are in use. (c) At least three lines are in use. (d) Between two and five lines, inclusive, are in use. (e) Between two and...
Discrete R.V and Probability Distribution
In order to verify the accuracy of their financial accounts, companies use auditors on a regular basis to verify accounting entries. The company's employees make erroneous entries 5% of the time. Suppose that an auditor randomly checks three entries. (a) Find the probability distribution for X , the number of errors detected by the  auditor. (b) Find the probability that the auditor will detect more than one error.  
Discrete R.V and Probability Distribution
A problem in a test given to small children asks them to match each of three pictures of animals to the word identifying that animal. If a child assigns the three words at random to the three pictures ,Find the probability distribution for Y , the number of correct matches.
Discrete R.V and Probability Distribution
A group of four components is known to contain two defectives. An inspector tests the components one at a time until the two defectives are located. Let X denote the number of the test on which the second defective is found. Find the probability distribution for X.
Discrete R.V and Probability Distribution
An electronics store has received a shipment of 20 table radios that have connections for an iPod or iPhone. Twelve of these have two slots (so they can accommodate both devices), and the other eight have a single slot. Suppose that six of the 20 radios are randomly selected to be stored under a shelf where the radios are displayed, and the remaining ones are placed in a storeroom. Let X= the number among the radios stored under the display...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT