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3 years ago

How to use a bar model?

Mathematics

1 answer:

riadik2000 [5.3K]3 years ago

4 0

You make a bar and you take 34 and shade 18. Count the squares not shaded.

Don't take my word on this. I may be wrong.

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Maria’s hard drive holds 1.0 × megabytes of data. Larry has two hard drives, one that holds 5.1 × megabytes of data and one that

Mademuasel [1]

Answer:

D) Larry can store more data than Maria because the sum of his hard drive space is 1.28 × 10^6

Step-by-step explanation:

Maria’s hard drive holds 1.0 ×10^6 megabytes of data. Larry has two hard drives, one that holds 5.1 × 10^5 megabytes of data and one that holds 7.7 × 10^5 Which statement is true? A) Maria can store more data than Larry because 10^6 > 10^5 B) Larry can store more data than Maria because 5.1 + 7.7 = 12.8 and 12.8 > 1.0 C) Larry can store more data than Maria because the sum of his hard drive space is 1.28 ×10^5 D) Larry can store more data than Maria because the sum of his hard drive space is 1.28 ×10^6

Given:

Maria’s hard drive stores 1.0 × 10^6 megabytes of data.

Larry has two hard drives,

Hard drive A = 5.1 × 10^5 megabytes of data

Hard drive B = 7.7 × 10^5

Hard drive A = 5.1 × 10^5

Hard drive B = 7.7 × 10^5

Hard drive A + hard drive B

5.1 × 10^5 + 7.7 × 10^5

= 12.8 × 10^5

Making sure Maria's hard drive and Larry's hard drive are in the same standard form

= 1.28 × 10^6

Maria's hard drive can only store 1.0 × 10^6 megabytes of data while Larry's hard drive can store 1.28 × 10^6

Therefore,

D) Larry can store more data than Maria because the sum of his hard drive space is 1.28 × 10^6

7 0

3 years ago

A jar contains 20 green, 23 orange, 20 red, and 15 brown marbles. A marble is drawn at random. What is the probability that the

iogann1982 [59]

Answer: probability for the orange marble is 23/78 ; green= 20/78; red=20/78

Step-by-step explanation:there are 23 orangebmarbles out of all marbles which is 78 marbles and it doesn't help same for red and green marbles they both are 20 out of 78 marbles which is the total . So that is the probability of all the total marbles

5 0

3 years ago

Read 2 more answers

How must unit cubes be stacked when used to measure volume

erica [24]

Volume is measured by squared units, which is why you could use cubes to represent the volume of a figure. Since volume means the entire figure, you have to stack the cubes one on top of the other and fill the entire cube in an orderly fashion to best identify the volume. Hope this help! :)

7 0

3 years ago

A carpet company advertises that it will deliver your carpet within 15 days of purchase. A sample of 49 past customers is taken.

Novosadov [1.4K]

Answer:

a) $H_0: \mu\leq15\\\\H_1: \mu>15$

b) The z-value (1.5) is smaller than z=1.645 (critical value), so it is in the "acceptance region". It failed to reject the null hypothesis.

c) The p-value (0.07) is greater than the significance level (0.05), so it failed to reject the null hypothesis.

d) In this case, the error we may hae comitted is a Type II error (failed to reject a null hypothesis that is false).

Step-by-step explanation:

We have to perfomr a hypothesis test on the mean, with known standard deviation of the population.

a) The null hypothesis is that the deliver time is 15 days or less.

The null and alternative hypothesis are then:

$H_0: \mu\leq15\\\\H_1: \mu>15$

The significance level is defined as 0.05.

b) The critical value of z for a one-side test (rigth side) and a significance level of 0.05 is z=1.645.

If the z-value for this sample is higher than 1.645, it is in the "rejection region".

Calculating the z-value:

$z=\frac{M-\mu}{\sigma/\sqrt{n}}=\frac{16.2-15}{5.6/\sqrt{49}}=\frac{1.2}{0.8}=1.5$

The z-value (1.5) is smaller than z=1.645 (critical value), so it is in the "acceptance region". It failed to reject the null hypothesis.

c) The p-value for z=1.5 is:

$P(z>1.5)=0.067$

The p-value (0.07) is greater than the significance level (0.05), so it failed to reject the null hypothesis.

d) There are two types of error:

Type I errors: happen when we reject a null hypothesis that is true.

Type II errors: happen when we failed to reject a null hypothesis that is false.

In this case, the error we may hae comitted is a Type II error.

3 0

3 years ago

What is 10X995<br> please help

prisoha [69]

Answer:

9950

Step-by-step explanation:

6 0

3 years ago

Read 2 more answers