Answer:
Q1. 1050 miles
Q2. 1h 30m
Step-by-step explanation:
Q1. 1h = 300 miles
3h = 3.5 × 300 miles
= 1050 miles
Q2. 68km = 1h
102km = × 1h
= 1.5h
= 1h 30m
PLEASE HELP EXPLANATION 100 POIUNTS
1 answer:
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Step-by-step explanation:
First, count the total number of the boxes from the figure. This can be done easily by counting the number of the rows and then the number of the columns and multiplying the numbers.
=> 10 x 10 = 100 boxes.
Now, count the shaded boxes. It's 8.
Now, we calculate percentage by,
=> Selected boxes/Total boxes x 100
Putting the values,
=> 8/100 x 100
=> 8%
<em>Hope</em><em> </em><em>it</em><em> </em><em>helps</em><em> </em><em>:</em><em>)</em>
Complete Question:
The mean hourly wage for employees in goods-producing industries is currently $24.57 (Bureau of Labor Statistics website, April, 1 2, 201 2). Suppose we take a sample of employees from the manufacturing industry to see if the mean hourly wage differs from the reported mean of $24.57 for the goods-producing industries. State the null and alternative hypotheses we should use to test whether the population mean hourly wage in the manufacturing industry differs from the population mean hourly wage in the goods-producing industries
Answer:
Null hypothesis, H₀ : μ = 24.57
Alternative hypothesis, : μ ≠ 24.57
Step-by-step explanation:
The mean hourly wage for the goods producing industry = $24.57
Since we want to see if the mean of hourly wage for the manufacturing industry is equal to $24.57( The mean f hourly wage for the good producing industry)
Therefore the, null hypothesis will be that there is no significant difference between the means of the hourly wages of both the goods producing and the manufacturing industries, while the alternative hypothesis will be that the means of their hourly wages are significantly different
Null hypothesis, H₀ : μ = 24.57
Alternative hypothesis, : μ ≠ 24.57