Question

# Question 3 The text mentions that in order to use the normal distribution for binomial distributions...

Question 3

The text mentions that in order to use the normal distribution for binomial distributions that EITHER n(p) OR n(q) must be > 5.

True

False

Question 4

The reason that both n(p) and n(q) are > 5 is that otherwise the distribution is likely skewed

True

False

Question 5

The reason that the distribution should not be skewed is that the normal distribution assumes that symmetrical distribtuion

True

False

Question 6

Using ONLY the 68, 95, and 99.7 empirical rule, what is the probability that a outcome will be between the mean and one standard deviation above the mean? Give your answer to two decimal places.

Question 7

Using the empirical rule (68,95, 99.7) ONLY what is the probability that an outcome will be below the mean by more than 2 standard deviations? Give you answer in four decimal places

Question 8

Using the Excel function, what is the probability of an outcome between -1 and + 1 standard deviations? Input your answer to four decimal places

Question 9

What is the z-score given a mean of .36, a standard deviation of .048 and a x-value of .32? Give you answer to 4 decimal places

Question 10

Give a z-score of -.8333, what is the probability that an outcome will be greater than that? Give your probability to four decimal places

question3) False.

The rule of thumb is that both n(p) and n(q) should be more than or equal to 5. it is not eithor or condition.

question 4) true.

for unskewd distribution both n(p) and n(q) should be more than 5 or else it will be skewd.

question 5) true

The normal distribution assume the symetrical distribution. it is like a mirror image, which have .5 area in the right and .5 area in the left.

question6 ) the probability will be 0.68

In the empirical rule, an outcome will be between the mean and one standard deviation above the mean gives a probaility of 0.6827.

quetion 7) the probability will be 0.9545

In the empirical rule, an outcome will be between the mean and two standard deviation above the mean gives a probaility of 0.9545

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