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3 years ago

13

Ramona went to a theme park during spring break. She was there for 8 hours and rode 24 rides. At what rate did Ramona ride rides

in rides per hour?

1 answer:

Lapatulllka [165]3 years ago

8 0

Answer: 3 rides per hour

Step-by-step explanation: 24 rides divided by 8 hours is 3 rides per hour

You might be interested in

Find the x-intercept of the line 9× + 3y = -18

ella [17]

Answer:

(-2,0)

Step-by-step explanation:

To find the x intercept, set y =0 and solve for x

9x+3y = -18

9x +0 = -18

9x/9 = -18/9

x = -2

(-2,0)

4 0

3 years ago

The number of bacteria in a petri dish is 50,000 (on day 0) if the amount is doubling each day by when will the number of bacter

Drupady [299]

Answer:

f(x) = 50000*2^x
3 days

Step-by-step explanation:

<u>Given:</u>

Initial amount of bacteria = 50000
Growth rate = 2 times a day

<u>Required equation:</u>

f(x) = 50000*2^x

<u>Solve for x:</u>

400000 = 50000*2^x
2^x = 400000/50000
2^x = 8
2^x = 2^3
x = 3

After 3 days bacteria numbers will reach 400000

5 0

2 years ago

Some college graduates employed full-time work more than hours per week, and some work fewer than hours per week. We suspect tha

Alex_Xolod [135]

Answer:

a)Null hypothesis: $\mu =40$

Alternative hypothesis: $\mu \neq 40$

b) A Type of error I is reject the hypothesis that $\mu$ is equal to 40 when is fact $\mu is equal to 40c) We can commit a Type II Error, since by definition "A type II error is the non-rejection of a false null hypothesis and is known as "false negative" conclusion"Step-by-step explanation:Assuming this problem: "Some college graduates employed full-time work more than 40 hours per week, and some work fewer than 40 hours per week. We suspect that the mean number of hours worked per week by college graduates, [tex]\mu$ , is different from 40 hours and wish to do a statistical test. We select a random sample of college graduates employed full-time and find that the mean of the sample is 43 hours and that the standard deviation is 4 hours. Based on this information, answer the questions below"

Data given

$\bar X=43$ represent the sample mean

$\mu$ population mean (variable of interest)

s=4 represent the sample standard deviation

n represent the sample size

Part a: System of hypothesis

We need to conduct a hypothesis in order to determine if actual mean is different from 40 , the system of hypothesis would be:

Null hypothesis: $\mu =40$

Alternative hypothesis: $\mu \neq 40$

Part b

In th context of this tes, what is a Type I error?

A Type of error I is reject the hypothesis that $\mu$ is equal to 40 when is fact [tex]\mu is equal to 40

Part c

Suppose that we decide not to reject the null hypothesis. What sort of error might we be making.

We can commit a Type II Error, since by definition "A type II error is the non-rejection of a false null hypothesis and is known as "false negative" conclusion"

5 0

3 years ago

Read 2 more answers

Which types of dilation are the given scale factors?

Drupady [299]

Answer:

Tbh Im new to this.

Step-by-step explanation:

i think -5/4 is con

3/8 is expansion

-1/2 is con

0.5 is con

I may be very wrong and im sorry but i tried

3 0

3 years ago

In 2000, 54% of the residents in a large city regularly used newspapers for getting news and this has decreased at an average r

Anika [276]

X=number of years after 2000.
y=percentage of residents (still) reads newspapers for information
initial value (= y-intercept) = percentage in 2000 = 54%
slope = increase each year = -1.7% (because it is a decrease)
the slope intercept form of the equation is therefore:
y=slope(x)+initial value, or
y=-1.7x+54 (in %)

3 0

3 years ago