Statistics Midterm Review

What is the probability that the person picked will be a boy given they speak German?

• .727

• .4

• .161

• .225

What percent of data lies within 1 standard deviation from the mean?

• 95%

• 99%

• 68%

• 100%

Descriptive statistics involves...

• collection, presentation, and description of sample data

• the technique of interpreting the values resulting from the descriptive techniques and making decisions and drawing conclusions about the population

• attempting to provide incorrect information and provide misleading graphs

• using information, numbers, and graphics even when data can't be collected

Inferential statistics involves...

• collection, presentation, and description of sample data

• the technique of interpreting the values resulting from the descriptive techniques and making decisions and drawing conclusions about the population

• attempting to provide incorrect information and provide misleading graphs

• using information, numbers, and graphics even when data can't be collected

The 40 yards sprint times for a soccer team are found to be normally distributed with a mean of 5.2 seconds and a standard deviation of 0.3 seconds.  What is the z-score for a player who runs a time of 5.6 seconds?

• -1.33

• 1.33

• 0.88

• 1.02

What is r used to represent?

• Coefficient of Determination

• Correlation coefficient

• Regression Line

• Slope

The chart below tracts starting salaries for health care workers since the year 2000. Using linear regression, find the equation of best fit. Round decimals to 3 places.

• y-hat = 839.721x + 27541.812

• y-hat = 27541.812x - 839.721

• y-hat = 27541.812x + 839.721

• y-hat = 839.721x - 27541.812

All of the below sets have the same mean.
Set 1-Standard Deviation=3.1
Set 2-Standard Deviation=4.9
Set 3-Standard Deviation=1.7
Set 4-Standard Deviation=3.2
Which set of data probably has the points closest to the mean?

• 1

• 2

• 3

• 4

Which of these is the best interpretation of the number 0.1297?

• For each additional square foot of area, the price is predicted to increase by about $0.1297

• A house which has 0 square feet is predicted to cost about $0.1297

• For each additional square foot, the price of the house is predicted to increase about $12.97.

• For each additional square foot of area, the price of the house is predicted to increase 129.70.

Which of the following is the regression equation for this data?

• Price^ = 87.3180 - 19.4(Area)

• Price^ = -19.4 + 0.1297(Area)

• Area^ = -19.4 + 0.1297(Price)

• Price^ = 0.1297 - 19.4(Area)