Select EACH correct answer.

Kwan earns $10 for each hour he works. He works 9 hours a day, 2 days a week. How much does he earn in a week?

kicyunya [14]

Answer:

$180

Step-by-step explanation:$10 per hour, so 10 is multiplied by 9

He gets paid 90 Dollars for one day of work so we would multiply that by Two days.

8 0

3 years ago

10 points

aivan3 [116]

Answer:

20.18

Step-by-step explanation:

Greatest number= 35.18

Least number=15

Difference between the twain=20.18

5 0

3 years ago

Read 2 more answers

n a group of 40 people, 10 people are healthy. The 30 unhealthy people have either high blood pressure, high cholesterol, or bot

aalyn [17]

Answer:

If a person is randomly selected from this group, the probability that they have both high blood pressure and high cholesterol is P=0.25.

Step-by-step explanation:

We can calculate the number of people from the sample that has both high blood pressure (HBP) and high cholesterol (HC) using this identity:

$N(\text{HBP or HC})=N(\text{HBP})+N(\text{HC})-N(\text{HBP and HC})\\\\\\ N(\text{HBP and HC})=N(\text{HBP})+N(\text{HC})-N(\text{HBP or HC})\\\\\\ N(\text{HBP and HC})=15+25-30=10$

We can calculate the probability that a random person has both high blood pressure and high cholesterol as:

$P(\text{HBP and HC})=\dfrac{10}{40}=0.25$

3 0

3 years ago

To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, Jacob'

TiliK225 [7]

Answer:

a) Independent variable: The manufacturer. It's a categorical and qualitative variable.

b) Dependent variable: time needed to mix the material, and is a quantitative variable

c) On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.

d) ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.

The hypothesis for this case are given by

Null hypothesis: $\mu_{A}=\mu_{B}=\mu_{C}$

Alternative hypothesis: Not all the means are equal $\mu_{i}\neq \mu_{j}, i,j=A,B,C$

Step-by-step explanation:

Previous concepts

Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".

The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"

Part A

Independent variable: The manufacturer. It's a categorical and qualitative variable.

Part B

Dependent variable: time needed to mix the material, and is a quantitative variable

Part C

On this case since we want to compare the means of different groups of manufacturers on specific 3 manufacturers (A,B and C) the best way to analyze this is with the ANOVA procedure.

Part D

ANOVA is the correct procedure since this procedure is used to analyze the differences among group means in a sample, and that's what we want to analyze.

The hypothesis for this case are given by

Null hypothesis: $\mu_{A}=\mu_{B}=\mu_{C}$

Alternative hypothesis: Not all the means are equal $\mu_{i}\neq \mu_{j}, i,j=A,B,C$

In order to find the mean square between treatments (MSTR), we need to find first the sum of squares and the degrees of freedom.

If we assume that we have $p$ groups and on each group from $j=1,\dots,p$ we have $n_j$ individuals on each group we can define the following formulas of variation: