Answer:
5/14
Step-by-step explanation:
P(A or B) = P(A) + P(B) − P(A and B)
25/28 = 23/28 + 12/28 − P(A and B)
P(A and B) = 10/28
P(A and B) = 5/14
Answer:
C) There is roughly a 95% chance that the resulting sample proportion will be within 0.04 of the true proportion.
Step-by-step explanation:
Given that 20% of the residents in a certain state support an increase in the property tax.
Sample size = 400
We want the sample proportion to be within 0.04 of the true proportion (i.e., between 0.16 and 0.24)
i.e. margin of error <0.04
Std error of sample = 
Critical value = margin of error/ std error = 
We know z value for 95% two tailed roughly equals 2.
Hence 95% confidence is right.
C) There is roughly a 95% chance that the resulting sample proportion will be within 0.04 of the true proportion.
Answer:
<u>The square root of 198 is between 14 and 15.</u>
Step-by-step explanation:
Let's calculate the square root of 198, this way:
√198 = 14.07
<u>The square root of 198 is between 14 and 15.</u>
The equation is 18.1 - x = -0.7
18.1 - -0.7 =
18.1 + 0.7 = 18.8
18.1 - 18.8 = -0.7
Florida’s 3-month temperature is 18.8 degrees C warmer than Montana’s.
Answer:
The two sample t-test
Step-by-step explanation:
The appropriate test for thus is the two sample t test which is also known as the independent t test. This tests aims at determined whether there is a statistically significant difference between the means in two unrelated groups which in this context are a random sample with one type of preservative and another sample with another type of preservatives.
With this test, the researcher is able to compare the mean shelf lives of the bananas treated with the two different preservatives... The null hypothesis equalises the two means of the sample while the alternative does otherwise.
