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Semenov [28]
3 years ago
5

Lita,Kala, and Rose entered a typing competition. Lita typed 2 times as fast as Kala. The ratio of the number of words Kala type

d to the number of words Rose typed was 4:1. If Rose typed 48 words, how many words did Lita type?
Mathematics
1 answer:
Jobisdone [24]3 years ago
6 0
If the ratio from Kala to Rose is 4:1, then for the 48 words Rose typed Kala typed 192 words. 48*4=192
Then Lita types twice as fast so 192*2=384.
It should be 384 words.
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Ryan, a baker, measured the weights of cakes baked in each batch at his bakery and found that the mean weight of each cake is 50
denpristay [2]

Answer: Rejecting the mean weight of each cake as 500 gram when H subscript 0 equals 500

Step-by-step explanation:

Given that :

Null hypothesis : H0 =500

Alternative hypothesis : Ha < 500

Type 1 Error: Type 1 error simply occurs when we reject the Null hypothesis when the Null is true. Alternatively, type 11 error occurs when we fail to reject a false null hypothesis.

Hence, in the scenario above, a type 1 error will occur when we reject the mean weight as 500 even though the Null hypothesis is True.

6 0
3 years ago
Hi hi. I have a legit question now.
pochemuha

Answer:

A. 25.14%

B. 0.99%

C. 100%

D. 86.07%

Step-by-step explanation:

μ = 52, σ = 3

Each problem gives you an x value and asks you to find a probability.  First calculate the z score(s), then look up in a table or use a calculator.

z = (x − μ) / σ

A. Find P(x < 50)

z = (50 − 52) / 3

z = -0.67

P(z < -0.67) = 0.2514

B. Find P(x > 59)

z = (59 − 52) / 3

z = 2.33

P(z > 2.33) = 1 − 0.9901 = 0.0099

C. Find P(x > 40)

z = (40 − 52) / 3

z = -4

P(z > -4) = 1 − 0 = 1

D. Find P(48 < x < 57)

z₁ = (48 − 52) / 3

z₁ = -1.33

z₂ = (57 − 52) / 3

z₂ = 1.67

P(-1.33 < z < 1.67) = 0.9525 − 0.0918 = 0.8607

I used a z score table.  For more accurate answers, use a calculator.

8 0
3 years ago
Booker owns 85 games he has 3 shelves to put the games on each shelf can hold 40 games
Degger [83]

Answer:

the answer is 35

Step-by-step explanation:

if you add 40+ 40 it would equal 80

then you would have 5 left over so if you substract 40- 5 you would get 35

and thats how many more games you could fit on the shelf.

4 0
3 years ago
Open parenthese x - 5 close parenthese open parenthese x plus 3 close parenthese
RoseWind [281]
(x-5)(x+3) = x^2-2x-15
3 0
2 years ago
I love sharks! In fact, before I became a statistician, I wanted to be a marine biologist specializing in shark research (I even
Ad libitum [116K]

Answer:

Null hypothesis: \mu \leq 15

Alternative Hypothesis: \mu >15

We have enough evidence to reject the null hypothesis at 10% level of significance.

Step-by-step explanation:

1) Data given

n =44, representing the sample size

\bar X=15.6ft represent the sample mean for the length of great white sharks

s=2.5ft represent the sample standard deviation for the  length of great white sharks

\alpha =0.1 significance level for the test

2) Formulas to use

On this case we are intereste on the sample mean for the  length of great white sharks, and based on the paragraph the hypothesis are given by:

Null hypothesis: \mu \leq 15

Alternative Hypothesis: \mu >15

since we have n>30 but we don't know the population deviation \sigma so we will can use the t approximation. The sample mean have the following distribution

\bar X \sim N(\mu,\frac{\sigma}{\sqrt{n}})

Based on this the statistic to check the hypothesis would be given by:

t=\frac{\bar X-\mu}{\frac{s}{\sqrt{n}}}

Replacing the values given we have:

t_{calc}=\frac{15.6-15}{\frac{2.5}{\sqrt{44}}}=1.592

We can calculate the degrees of freedom with:

df=n-1=44-1=43

With \alpha and the degrees of freedom we can calculate the critical value, since \alpha=0.1 we need a value from the t distribution with 43 degrees of freedom that accumulates 0.1 of the area on the right or 0.9 of the area on the left.

We can use excel, a calculator or a table for this, calculating this value we got:

t_{(43,critc)}=1.302

Since our calculatesd value was t_{calc}=1.592>t_{crit}, we can reject the null hypothesis at 0.1 level of significance.

Other way in order to have a criterion for reject or don't reject the null hypothesis is calculating the p value, on this case based on the alternative hypothesis the p value would be given by:

p_v=P(t_{(43)}>1.592)=0.0594

So then p_v so we have enough evidence to reject the null hypothesis at 10% level of significance.

3 0
3 years ago
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