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Hypothesis

Total questions: 37

Worksheet time: 1hrs 8mins

Name
Class
Date
1.

Myra and Neha are on a mission to find out if the average weight of apples from a new farm is significantly different from the known population average of 200 grams. They gather a sample of 50 apples, and to their surprise, the sample mean is 205 grams with a standard deviation of 15 grams! What type of test should they use to uncover the truth?

a)

a) T-test

b)

b) Z-test

c)

c) Chi-square test

d)

d) F-test

2.

Dia and Aanya are curious about how much time students spend on an online learning platform. They want to compare two groups: those who attended a preparatory course and those who didn't. What test should they use to find out if there's a significant difference in the average time spent?

a)

One-Sample T-test

b)

Paired Sample T-test

c)

Two-Sample T-test

d)

Z-test

3.

In a bustling factory, where Sneha, Aarav, and Akhil work hard every day, 60% of the workers initially reported being satisfied with their working conditions. However, after a new policy was introduced, a follow-up survey revealed that only 55% of the workers felt satisfied. To find out if this new policy had any impact on worker satisfaction, which statistical test should they apply?

a)

Z-test for a sample mean

b)

Proportion Test

c)

T-test

d)

Chi-square test

4.

Hey Vanya, Eesha, and Dia! Let's dive into the world of statistics! Can you tell me what the definition of a null hypothesis is?

a)

The independent variable has no effect on the dependent variable for the population

b)

The independent variable does have an effect on the dependent variable

c)

The dependent variable has no effect on the independent variable

d)

The dependent variable does have an effect on the independent variable

5.

Hey Ishaan, if the alpha level is cranked up from 0.01 to 0.05, do the boundaries for the critical region move farther away from the center of the distribution? What do you think, Dia?

a)

True

b)

False

6.

Hey Advait, if you were to check the normality test using Shapiro-Wilk and found that the p-value is more than 0.05, what would that mean?

a)

The data is significant

b)

The data is not normal

c)

The data is normal

d)

Reject null hypothesis

7.

Hey Aanya, if you were to check the normality test using Shapiro-Wilk and found that the p-value is below 0.05, what would you do?

a)

Accept null hypothesis

b)

Reject null hypothesis

c)

Failed to reject null hypothesis

d)

Reject alternative hypothesis

8.

Hey Eesha, Sneha, and Avni! Let's dive into the world of statistics! Can you define a Type I error?

a)

The failure to reject a false null hypothesis

b)

Rejecting a true null hypothesis

c)

The acceptance to reject a null hypothesis

d)

Accepting a true null  hypothesis

9.

Hey Naira, if a sample mean is hanging out in the critical region with an alpha level of 0.05, do you think it would still be chilling in that critical region if we decided to switch the alpha to 0.01?

a)

False

b)

True

10.

Rahul and Ananya are debating a statistics problem: If a sample mean is in the critical region with an alpha level of 0.01, would it still be in the critical region if the alpha were changed to 0.05? Neha chimes in, curious about their thoughts!

a)

False

b)

True

11.

Hey Avani and Aanya! If you find a z-score value hanging out in the critical region, what does that mean for our null hypothesis? Should we give it the boot and reject it?

a)

True

b)

False

12.

Hey Krish, Naira, and Avani! Let's dive into some statistics fun! Which of the following represents the appropriate null & alternative hypotheses for the statement: The mean height of women is greater than 64"?

a)

H₀: μ > 64"

Hₐ: μ ≠ 64"

b)

H₀: μ < 64"

Hₐ: μ > 64"

c)

H₀: p > 64"

Hₐ: p ≠ 64"

d)

H₀: p = 64"

Hₐ: p > 64"

13.

Hey Asher, let's dive into a fun statistical challenge!


Is the proportion of babies born male different from 50%? In a sample of 200 babies, 96 were male. Test the claim using a level of significance of 1%. What do you think the correct null hypothesis is?

a)

H0: p = 0.50

b)

H0: µ = 100

c)

H0: p = 0.48

d)

H0: µ = 96

14.

Hey Riyaan! Let's put your statistics skills to the test! Which of the following shows a right-tailed test?

a)

Ha: µ < 15

b)

H0: µ < 15

c)

Ha: µ > 15

d)

H0: µ > 15

15.

Hey Aanya, Kiara, and Aditi! When you're diving into the exciting world of statistics and performing a test about the population proportion, which distribution should you grab from your statistical toolbox?

a)

z

b)

t

c)

chi-square

16.

In the exciting world of hypothesis testing, Shaan, Viaan, and Avani are on a quest to find the strongest evidence against the null hypothesis! Which of the following would be their golden ticket?

a)

using a small level of significance

b)

using a large level of significance

c)

obtaining data with a small p-value

d)

obtaining data with a low test statistic

17.

Hey Aanya, Viaan, and Alisha! Let's dive into the world of statistics! A P-value indicates:

a)

the probability that the null hypothesis is true

b)

the probability that the alternative hypothesis is true

c)

the probability of obtaining the results (or one more extreme) if the null hypothesis is true

d)

probability of a Type I error

18.

Hey there, Arjun! Imagine you're in a thrilling statistics class with your friends Akhil and Arnav. The teacher just revealed that the P-value for a hypothesis test is 0.0304. Now, with a significance level of α = 0.05, what should you and your friends conclude about the null hypothesis?

a)

a) Reject the null hypothesis

b)

b) Reject the alternative hypothesis

c)

c) Fail to reject the null hypothesis

d)

d) Fail to reject the alternative hypothesis

19.

Mayor Akhil is on a mission! He’s worried about the percentage of city residents who are shaking their heads at his job performance. To keep his disapproval rating below 21%, his political committee has decided to splash out on a newspaper ad. They’re planning to follow up with a poll to see if their efforts paid off. Can you help him figure out the correct null and alternative hypotheses?

a)

Ho: μ > 21

Ha: μ < 21

b)

Ho: p > .20

Ha: p < .20

c)

Ho: p < .21

Ha: p > .21

d)

Ho: p > .21

Ha: p < .21

20.

Hey Myra and Dhruv! Let's dive into the world of statistics! When the p-value is greater than alpha, what should we do?

a)

Reject Ho

b)

Fail to reject Ha

c)

Fail to reject Ho

d)

Reject Ha

21.

Hey Naira, can you help Eesha understand what a Type I error is? Let's make it fun! Which of the following best defines a Type I error?

a)

The failure to reject a false null hypothesis

b)

Rejecting a true null hypothesis

c)

The acceptance to reject a null hypothesis

d)

Accepting a true null  hypothesis

22.

Hey Kavya, let's have some fun with statistics! Which of the following represents the appropriate null & alternative hypotheses for the statement: The mean height of women is greater than 64"?

a)

H₀: μ > 64"

Hₐ: μ ≠ 64"

b)

H₀: μ < 64"

Hₐ: μ > 64"

c)

H₀: p > 64"

Hₐ: p ≠ 64"

d)

H₀: p = 64"

Hₐ: p > 64"

23.

Hey Avani and Rohan! Let's dive into the world of statistics! When the p-value is greater than alpha, what should we do?

a)

Reject Ho

b)

Fail to reject Ha

c)

Fail to reject Ho

d)

Reject Ha

24.

Mayor Avani is on a mission! She's worried about the percentage of city residents who are shaking their heads at her job performance. To keep her disapproval rating below 21%, her political committee has splashed out on a newspaper ad. Now, they're gearing up for a follow-up poll to see if their efforts paid off. Can you help her figure out the correct null and alternative hypotheses?

a)

Ho: μ > 21

Ha: μ < 21

b)

Ho: p > .20

Ha: p < .20

c)

Ho: p < .21

Ha: p > .21

d)

Ho: p > .21

Ha: p < .21

25.

Hey Aashi, Dia, and Prisha! Let's dive into the world of statistics! What is the only option for the null hypothesis?

a)

H0 = k

b)

H0 > k

c)

H0 < k

d)

H0 ≠ k

26.

Hey Dia and Aarav! Let's put your hypothesis skills to the test! Which of the following is not an option for an alternate hypothesis?

a)

Ha = k

b)

Ha > k

c)

Ha < k

d)

Ha ≠ k

27.

Hey Aashi and Kavya! When do you think we should use a t-value instead of a z-value? Let's put on our thinking caps!

a)

When n < 30

b)

When n ≥ 30

c)

When all of the planets align

d)

When the teacher says so

28.

Hey Arjun and Myra! When do you think we should whip out a t-value instead of a z-value?

a)

When n < 30

b)

When n ≥ 30

c)

When all of the planets align

d)

When Ms. O said to

29.

In a thrilling statistics showdown, Viaan, Prisha, and Tara are testing the hypothesis H0 : µ = 17 against H1 : µ < 17. They decide to use a significance level of α = 0.01. With a test statistic value of z = -2.68, they boldly conclude that H0 is rejected. But wait! If the true value of µ is actually 17, what kind of twist has occurred in this statistical tale? Is it a Type I Error, a Type II Error, or a Correct Decision?

a)

Type I

b)

Type II

c)

Correct Decision

30.

Hey Myra, Avyaan, and Rohan! Can you guess what we call a statement about the parameters of a model?

a)

A statistical hypothesis

b)

Confidence Intervals

c)

Normal distribution

d)

Experimental design

31.

Hey Kabir and Tisha! If the alpha level is cranked up from 0.01 to 0.05, do the boundaries for the region of acceptance move farther away from the center of the distribution? What do you think, Asher?

a)

True

b)

False

32.

A Type I error is like when Akhil thinks he has won the game, but it turns out he actually lost! So, what does that mean?

a)

We obtain the wrong test statistic

b)

We reject the null hypothesis when it is actually true

c)

We fail to reject the null hypothesis when it's actually false

d)

We reject the alternate hypothesis when it's actually true

33.

Hey Aanya, Arnav, and Eesha! Let's dive into the exciting world of data! Can you guess what we call the study of ways to collect, describe, draw conclusions, and make projections from data?

a)

Statistics

b)

Inference

c)

Avergage

d)

Population

34.

Hey Ria, Aanya, and Viaan! Imagine you're on a treasure hunt. A sample is like a small treasure chest taken from a big island of treasures, used to find out what the whole island is like. Is that true or false?

a)

True

b)

False

35.

Hey Tara, Siya, and Ishaan! Imagine you're on a quest to discover secrets about a mysterious group of objects. What do we call this intriguing collection that holds the information we want to uncover?

a)

Population

b)

Sample

c)

Average

d)

Null hypothesis

36.

Hey Tara and Dhruv! Can you figure out what we call the sum of the data divided by the number of data points in the data set? Let's see if Ria can help you out!

a)

Mean

b)

Average

c)

Population

d)

Variance

37.

Nikita, Kiara, and Shreya are having a math competition! Can you help them find the positive square root of the sample variance? What do we call this important statistical measure?

a)

Standard Deviation

b)

Variance

c)

Mean

d)

Average