I believe you should do as much work as you can on each of these problems and only then ask for help. You'll almost always learn more by becoming involved in the thinking and problem solving you encounter here.
|x| + 5 = 13 reduces to |x| = 13, so x could be either -13 or +13.
Answer:
- Mean will Increase .
- Median remains unchanged.
- Standard deviation will increase.
Step-by-step explanation:
We are given that there are 14 employees in a particular division of a company and their salaries have a mean of $70,000, a median of $55,000, and a standard deviation of $20,000.
And also the largest number on the list is $100,000 but By accident, this number is changed to $1,000,000.
Now we have to analyse the Effect of this change in data values on mean, median, and standard deviation.
- Mean will get affected because $1,000,000 is a very huge value as compared to $100,000 and is considered to be an outlier and we know that mean is affected by outliers as mean will change to $134285.7143 after replacing $100,000 with $1,000,000 .
- Median will not get affected as median the middle most value in the data set and since $1,000,000 is considered to be an outlier so median remain unchanged at $55,000 .
- Standard Deviation will also get affected as due to outlier value in the data set the numerator value will increase very much and due to which standard deviation will also increase.
Answer:
The probability that the sample proportion is between 0.35 and 0.5 is 0.7895
Step-by-step explanation:
To calculate the probability that the sample proportion is between 0.35 and 0.5 we need to know the z-scores of the sample proportions 0.35 and 0.5.
z-score of the sample proportion is calculated as
z=
where
- p(s) is the sample proportion of first time customers
- p is the proportion of first time customers based on historical data
For the sample proportion 0.35:
z(0.35)=
≈ -1.035
For the sample proportion 0.5:
z(0.5)=
≈ 1.553
The probabilities for z of being smaller than these z-scores are:
P(z<z(0.35))= 0.1503
P(z<z(0.5))= 0.9398
Then the probability that the sample proportion is between 0.35 and 0.5 is
P(z(0.35)<z<z(0.5))= 0.9398 - 0.1503 =0.7895
Answer:
The difference in the areas of the cross-sections is 20 m².
Step-by-step explanation:
^^^
Answer:
B
Step-by-step explanation:
There are 12 inches in 1 feet, so
5 feet = 5 * 12 = 60 inch
6 feet = 6 * 12 = 72 inch
So, we can say most adult humans are between 60 to 72 inches tall
The model is 7 inches tall. So, from the answer choices, 7 * 10 = 70 [the number that is in between 60 to 72]. Thus we can take the model to be 1/10th of the original.
So the scale factor is 1/10, or option B
