| 1 |
In binomial distribution trails are |
- A. Independent
- B. Dependent
- C. Both
- D. Discrete
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| 2 |
In a binomial distribution |
- A. <span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">μ =</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">σ²</span>
- B. <span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">μ <</span><span style="color: rgb(34, 34, 34); font-family: arial, sans-serif; font-size: 16px;">σ²</span>
- C. <span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">μ ></span><span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">σ²</span>
- D. <span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">μ = 1</span><span style="font-family: arial, sans-serif; font-size: 16px; color: rgb(34, 34, 34);">σ²</span>
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| 3 |
In a bionial experiment, the successive trails are. |
- A. Dependent
- B. Independent
- C. Mutually exclusive
- D. FIxed
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| 4 |
A fair coin is tossed four times the probability of getting four heads is |
- A. 1/4
- B. 1/2
- C. 1/16
- D. 1
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| 5 |
The percentage of observations lying within the items X + 3S in the normal distribution. |
- A. 68.26%
- B. 95.44%
- C. 70.00%
- D. 99.75%
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| 6 |
Which of the following can never be described by a binomial distributions. |
- A. The number of difective items produced by an assembly process
- B. The amount of water used by a single housheld
- C. the numebr of students in the class who can answer this questions
- D. All of these can always be described by a binomial distribution
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| 7 |
A hypergometric random variable is a (an) |
- A. Independent variable
- B. Continuous random variable
- C. Discrete random variable
- D. None of these
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| 8 |
A binomial random variable can assume the values |
- A. 1,2......n
- B. 0,1,2......00
- C. 0,1,2......n
- D. 2,4,6,8,10
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| 9 |
If p = q = 1/2 then distribution is called. |
- A. Postively
- B. Skewed
- C. Symmetrical
- D. Negatively
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| 10 |
If the probability of success p = 0.4 for a parability Beronouli trial, the expression 7!/3!4! (0.4)2 (0.6)2 given the probility of getting. |
- A. Exactly three sucoseeson in seven trials
- B. Exactlyfour successin seven trials
- C. Three or more successes in seven trials
- D. Four or more successes in seven trials.
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