Answer:
The cost of house was $245000 when it was built.
Step-by-step explanation:
Given that:
Cost of the house today = $333200
Percent increase in today's price = 36%
Let,
x be the cost of house when it was built.
100 be the percentage when the house was built.
Percentage of house price today = (100+36)% = 136%
136% of x = 333200

Dividing both sides by 1.36

Hence,
The cost of house was $245000 when it was built.
Answer:
C. 1.2x
Step-by-step explanation:
He pays 1 x for his haircut, and an additional 20% on top of that, or an additional 0.2x. If you write that as an expression, you can simplify it like this:

You can also work it out by multiplying by 1.2 as stated in answer C. If his haircut costs $10, adding a 20% tip of $2 is the same as multiplying by 1.2.

Answer:
Test statistic Z = 2.1097
Step-by-step explanation:
<u><em>Step(i):-</em></u>
Given that size of the sample 'n' = 160
Given that mean of the Population(μ) = 5.3pounds/square inch
The Standard deviation of the population(σ) = 0.6
Mean of the sample(x⁻) = 5.4
Level of significance =0.1
<u><em>Step(ii):-</em></u>
Test statistic


Z = 2.1097
<u><em>Final answer</em></u>:-
Test statistic Z = 2.1097
The population would be the total number of customers found in the database.
The sample would be BIASED because the computer will be identifying the 600 most loyal customers from the database.
Since their survey would be about the service of the company, choosing the most loyal customers will ensure that they would have a positive feedback on the service of the company. Customers build loyalty to a business when it has good service and staff.
Testing random samples of lightbulbs produced by a company to confirm they work and testing a new drug on a random sample of patients to see how effective it is at curing the flu are examples of inferential statistics. The correct option among all the options that are given in the question are option "C" and option "E".