Step-by-step explanation:
<h2>a - b = a + (-b)</h2><h2>a + b = a - (-b)</h2>
for any real numbers
Answer:
1) D
2) D
Step-by-step explanation:
1. Use 360 - x˚ - y˚ - 117˚ - 62˚
2. Recognize that 1) can be either 62 or 63
3. Plug either number into x to get y
4. y = 118 when x = 63
Answer:
a) Statistic.
b) The population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.
Step-by-step explanation:
a) The proportion of 30% is a statistic, as it is a value that summarizes data only from the sample taken in the study from USA Today. Other samples may yield different proportions.
b) We can use the statistic to estimate a confidence interval for the parameter of the population.
The standard error for the proportion is calculated as:

The margin of error is 0.01. We can use this value to determine the level of confidence that represents.
The formula for the margin of error is:

This z-value, according to the the standard normal distribution, corresponds to a confidence interval of 94%.
The interval for this margin of error is:

Then, we can conclude that the population proportion is expected to be between 0.29 and 0.31 with a 94% degree of confidence.
Answer:
1
Step-by-step explanation:
