Answer the questions below please

Mathematics

1 answer:

gavmur [86]3 years ago

4 0

Answer: For question #1, it’s #3. For question #2 a) it’s –12/5, for question #2 b, c and d) uh, let someone else can answer the rest of the question.

Step-by-step explanation: I solve the problem by solving this equation below.

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The owner of a bike shop would like to analyze the sales data to determine if the business is growing, declining, or remaining f

igomit [66]

The sales growth is = $25,000

<h3>The analysis of sales data</h3>

The revenue generated from a business like that of the owner of a bike shop is by multiplying the number of sales and the sales price or average service price.

The sales Revenue for Last Year =$125,000

The Sales Revenue for Current Year = $150, 000

Therefore the sales growth can be gotten by subtracting the current year from the previous year. Which is,

$150, 000 - $125,000 = $25,000

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brainly.com/question/25623677

7 0

1 year ago

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A randomized trial tested the effectiveness of diets on adults. Among 36 subjects using Diet 1, the mean weight loss after a yea

seropon [69]

Answer:

The 95% confidence interval is

$0.45 < \mu_1 - \mu_2 < 5.35$

Step-by-step explanation:

From the question we are told that

The first sample size is $n_1 = 36$

The first sample mean is $\= x_1 = 3.5$

The first standard deviation is $\sigma_1 = 5.9 \ pounds$

The second sample size is $n_2 = 36$

The second sample mean is $\= x_2 = 0.6$

The second standard deviation is $\sigma = 4.4$

Generally the degree of freedom is mathematically represented as

$df = \frac{ [ \frac{s_1^2 }{n_1 } + \frac{s_2^2 }{n_2} ]^2 }{ \frac{1}{(n_1 - 1 )} [ \frac{s_1^2}{n_1} ]^2 + \frac{1}{(n_2 - 1 )} [ \frac{s_2^2}{n_2} ]^2 }$

=> $df = \frac{ [ \frac{5.9^2 }{34 } + \frac{4.4^2 }{34} ]^2 }{ \frac{1}{(34 - 1 )} [ \frac{5.9^2}{34} ]^2 + \frac{1}{(34- 1 )} [ \frac{4.4^2}{ 34} ]^2 }$