Statistics Cumulative Review Unit 1-4

[Pages:3]Statistics Cumulative Review Unit 1-4

Unit 1 (Vocab): 1. Claire wants to see how many fender-benders happen in the school parking lot. She counts the number of crashes each day for a month. What type of data collection is this?

2. To ensure customer satisfaction, every 5th phone call received by customer service will be monitored. What sampling technique was used?

3. Jack is doing a study on the Republican candidates running for the GOP nomination. His survey question is "Would you vote for TV star and billionaire Donald Trump or another candidate for president?" What type of bias is Jack committing?

Unit 2 (Data Displays & Measurements)

The Highway Patrol, using radar, checked the speeds (in mph) of 28 passing motorists at a checkpoint. The results are listed below:

44 38 41 50 36 43 42 49 48 35 40 37 41 43 50 45 45 39 38 50 41 47 36 35 40 42 43 48

1. Find the following measurements:

mean =

Sample variance =

median =

Quartile 1 =

mode =

Quartile 3 =

sample st. dev. =

IQR =

2. Create a stem-and-leaf plot of the data.

3. The data display you created in Question #2 would best be described as: (Circlc) skewed left symmetric skewed right uniform

Unit 3 (Probability) 1. List the sample pace of the probability experiment: recording the days of the week.

2. P (day starts with the letter T)

3. P (weekend or Wednesday)

4. A teacher needs to select 3 days for a out-of-town trip. How many 3-day trips are possible?

5. The probability that is snows on Thanksgiving is 0.3. What is the probability that it snows on at least one of the next 5 Thanksgivings?

Unit 4 (Distributions)

For each scenario, state the type of distribution you need; then create a probability distribution.

1. A car towing company averages two calls per hour.

Type: __________________

X

Etc.!!!

P(X)

2. Lebron James makes free throw shots 74% of the time.

Type: __________________

X

Etc.!!!

P(X)

3. The probability that a house will be burglarized in an urban area is 3%. 6 houses are randomly selected.

Type: __________________

X P(X)

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