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dangina [55]
3 years ago
12

sam is buying t-shirts for 8.00 each and jeans for 48.00 each. If sam buys 5 t--shirts and wants t spend no more than 290 on t-s

hirts and jeans,how many jeans can sam buy
Mathematics
1 answer:
padilas [110]3 years ago
3 0
Sam can at least buy 5 pairs of jeans
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M∠LONm, angle, L, O, N is a straight angle.
Ne4ueva [31]

Answer: 41

Step-by-step explanation:

5 0
3 years ago
Translate and solve: m decreased by 12 is equal to negative 3. *
Anit [1.1K]
M - 12 = -3

You would be able to find what m is by finding a number that can subtract 12 and get -3.

Hope this helps and have a nice day!!!
3 0
3 years ago
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A new game system was priced at $500 when it was introduced to the market. Over the
muminat

Answer:

FV= $436.72

Step-by-step explanation:

Giving the following information:

Initial cost (PV)= $500

Decrease rate (d)= 7% per year

Number of periods (n)= 2 years

<u>To calculate the future value after 2 years, we need to use the following formula:</u>

FV= PV / (1 + d)^n

FV= 500 / (1.07^2)

FV= $436.72

8 0
2 years ago
2. The National Safety Council routinely analyzes the benefit of seat belt use on driver safety. Their data showed that among 28
JulijaS [17]

Answer:

We conclude that there is difference in the proportion of deaths between the 2 groups.

Step-by-step explanation:

We are given that among 2823 drivers not wearing seat belts, 31 died as a result of injuries, and among 7765 drivers wearing seat belts 16 were killed.

Let p_1 = <u><em>proportion of deaths when drivers were not wearing seat belts.</em></u>

p_2 = <u><em>proportion of deaths when drivers were wearing seat belts.</em></u>

So, Null Hypothesis, H_0 : p_1=p_2      {means that there is no difference in the proportion of deaths between the 2 groups}

Alternate Hypothesis, H_A : p_1\neq p_2     {means that there is difference in the proportion of deaths between the 2 groups}

The test statistics that would be used here <u>Two-sample z test for proportions;</u>

                          T.S. =  \frac{(\hat p_1-\hat p_2)-(p_1-p_2)}{\sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} } }  ~ N(0,1)

where, \hat p_1 = sample proportion of deaths when drivers were not wearing seat belts = \frac{31}{2823} = 0.011

\hat p_2 = sample proportion of deaths when drivers were wearing seat belts = \frac{16}{7765} = 0.002

n_1 = sample of drivers not wearing seat belts = 2823

n_2 = sample of drivers wearing seat belts = 7765

So, <u><em>the test statistics</em></u>  =  \frac{(0.011-0.002)-(0)}{\sqrt{\frac{0.011(1-0.011)}{2823}+\frac{0.002(1-0.002)}{7765} } }

                                       =  4.438

The value of z test statistics is 4.438.

<u>Now, at 5% significance level the z table gives critical values of -1.96 and 1.96 for two-tailed test.</u>

Since our test statistic doesn't lie within the range of critical values of z, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.

Therefore, we conclude that there is difference in the proportion of deaths between the 2 groups.

Also, <u>Margin of error</u> (E) =  1.96 \times \sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} }

                                        =  1.96 \times \sqrt{\frac{0.011(1-0.011)}{2823}+\frac{0.002(1-0.002)}{7765} }

                                        =  <u>0.00397</u>

5 0
3 years ago
Michael drew a triangle with the sides measuring 12.5 centimeters, 30 centimeters, and 32.5 centimeters. Using the Pythagorean t
Vadim26 [7]
A2 +b2= c2.
12.5 (2) +30 (2) = 32.5 (2)
156.25+900=1056.25
1056.25=1056.25
hope this helped
6 0
3 years ago
Read 2 more answers
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