Probability Distributions
Binomial Distribution
Normal Distribution
Central Limit Theorem
Confidence Intervals
100

P(x<3):  

0.8486

100

The Binomial distributions is a ________________ distribution while the normal distribution is a _____________ distribution.

discrete, continuous

100

A random variable is distributed uniformly between 6 and 13.  What is the probability that x is at most 10?

4/7

100

A population has an unknown distribution with mean 99.6 and standard deviation 35.1.  If you draw samples of size 417.

a. what is the mean of the sample means, what is the standard deviation of the sample means?

b. What value of x represents the 70% percentile for the sampling distribution?

a. 99.6, 2.38

b.  100.5

100

I want to be 90% confident that I estimate the mean of the population within 2.5.  If the standard deviation of the population is 79.8, what sample size should I use?

n = 2758

200

What is the missing value: 

0.35

200

In a binomial distribution with n = 26 and p = 0.3, the mean is ______________ and the standard deviation is _______________

7.8, 2.34

200

P(63 < X < 103) = 

1/2

200

If you are using the central limit theorem for means with sample sizes of ___________ it is not necessary to assume the population is normally distributed.

greater than or equal to 30

200

Find a 95% confidence interval for sample size n = 81, sample mean 9.76 and population standard deviation of 13.5.

(6.62, 12.70)

300

What is the mean and standard deviation of:

mean = 1.55

st dev = 1.243

300

About 40% of the population has type A blood.  If I take a sample of 10 people, what is the probability that exactly 4 of them have type A blood? 

0.2508

300

X~N(123, 10)  What is the z-score for x = 139?

1.6

300

X~N(161.7, 16.4) 

a. What is the probability that a single random value is selected and it is greater than 160.1.

b.  What is the probability that I draw a sample of size 177 and the mean is greater than 160.1?

a. 0.5389

b.  0.9029

300

All else equal, an increase in sample size will cause an (increase or decrease) of the confidence interval?

decrease

400

I pay $10 to play a game.  If I win I am handed a $100 bill.  The probability of winning is 15%.  What is the expected value of this game?  Is it a fair game? 

$5, no

400

If X~B(10, 0.2)  What is P(x>6)?

0.0064

400

X~N(1400, 130) where X represents the price paid for a t.v. what percentage of t.v.s cost between $1010 and $1400? 

49.85%

400

It is estimated that 25% of adults work from home.  If an employment agency randomly samples 450 adults:

a. what is the mean and standard deviation of the sampling distribution?

b. What is the probability that fewer than 24% of the sample work from home?

a.  0.25, 0.0204

b. 0.3121

400

I want to estimate the mean temperature.  I have a sample of: 47.9, 37.3, 23, 44.6, 47.6, 43.6, 41.3.

If the population is normally distributed, find a 99% confidence interval for the population mean. I am using the __________________________ distribution.

(28.65, 52.87), Student T

500

What is P(x>1)?

0.19

500

If the probability of a train being on time is 0.82, what is the probability that at most 39 out of 50 trains came on time.

0.2813

500

The empirical rule says that ________% of the data falls within 2 standard deviations of the mean.

95

500
A study shows 3.5% of the general population lives past their 90th birthday.  In a graduating class of 730 students, what is the probability that 27 or less will live beyond their 90th birthday?

0.6517

500

Insurance companies want to know the proportion of people who buckle up.  A random sample of 393 drivers showed 315 buckled up.  Create an 89% confidence interval for the population proportion.

(0.769, 0.834)