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Rus_ich [418]
3 years ago
11

Original price: $50 Discount: 15% Sale price: $ What is the sale price?

Mathematics
2 answers:
Leona [35]3 years ago
5 0

The sale price of the item is $42.50

The item is 15% off. This means that you will pay 85% of the total cost instead of paying 100%. (100% - 15% = 85%).

0.850 × $50 = $42.50.

Therefore, the sale price on this item is $42.50.

sasho [114]3 years ago
3 0

Answer:

42.50

Step-by-step explanation:

If we get 15% off, we still have to pay (100-15) = 85% of the price

The sale price = original * percent we still have to pay

       sale price = 50 *.85

                            42.50

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Let the abbreviation PSLT stand for the percent of the gross family income that goes into paying state and local taxes. Suppose
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Answer:

Number of families that should be surveyed if one wants to be 90% sure of being able to estimate the true mean PSLT within 0.5 is at least 43.

Step-by-step explanation:

We are given that one wants to estimate the mean PSLT for the population of all families in New York City with gross incomes in the range $35.000 to $40.000.

If sigma equals 2.0, we have to find that how many families should be surveyed if one wants to be 90% sure of being able to estimate the true mean PSLT within 0.5.

Here, we will use the concept of Margin of error as the statement "true mean PSLT within 0.5" represents the margin of error we want.

<u></u>

<u>SO, Margin of error formula is given by;</u>

       Margin of error =  Z_(_\frac{\alpha}{2}_ ) \times \frac{\sigma}{\sqrt{n} }

where, \alpha = significance level = 10%

            \sigma = standard deviation = 2.0

            n = number of families

Now, in the z table the critical value of x at 5% ( \frac{0.10}{2} = 0.05 ) level of significance is 1.645.

SO,        Margin of error =  Z_(_\frac{\alpha}{2}_ ) \times \frac{\sigma}{\sqrt{n} }

                          0.5   =  1.645 \times \frac{2}{\sqrt{n} }

                         \sqrt{n} =\frac{2\times 1.645 }{0.5}

                         \sqrt{n} =6.58

                           n  =  6.58^{2}

                               = 43.3 ≈ 43

Therefore, number of families that should be surveyed if one wants to be 90% sure of being able to estimate the true mean PSLT within 0.5 is at least 43.

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