Answer:
a) 0.71
b) 0.9863
Step-by-step explanation:
a. Given the mean prices of a house is $403,000 and the standard deviation is $278,000
-The probability the probability that the selected house is valued at less than $500,000 is obtained by summing the frequencies of prices below $500,000:
Hence, the probability of a house price below $500,000 is 0.71
b. -Let X be the mean price of a randomly selected house.
-Since the sample size 40 is greater than 30, we assume normal distribution.
-The probability can therefore be calculated as follows:
Thus, the probability that the mean value of the 40 houses is less than $500,000 is 0.9863
Answer:
it is
Step-by-step explanation:
0.75. or that's at least what Google told me
9*13=117
12*16=192
We increased three meters to both the length and width of the garden.
Answer:
The answer is option D: the advertiser is bidding $0.70 between 9 pm-12 am on weeknights.
Step-by-step explanation:
The normal bid is $0.40 and the bid multiplier is 75%.
This amount becomes:
= $0.70 (OPTION D)
So, the advertiser is bidding $0.70 between 9 pm-12 am on weeknights.
Answer:
D. The company's chocolate bars weigh 3.2 ounces on average.
Step-by-step explanation:
We are given that a company claims that its chocolate bars weigh 3.2 ounces on average.
The company took many large samples, and each time the mean weight of the sample was within the 95% confidence interval.
Definition of 95% confidence level: 95% confidence level means a range of values that you can be 95% certain contains the true mean of the population.
Thus by considering definition we can conclude that The company's chocolate bars weigh 3.2 ounces on average.
Thus Option D is correct.
D. The company's chocolate bars weigh 3.2 ounces on average.
