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REVIEW QUIZ RESEARCH G9

Total questions: 40

Worksheet time: 20mins

Name
Class
Date
1.

What are the two branches of Statistics?

a)

Engineering and Chemistry

b)

Inferential and Descriptive

c)

Mathematical and Inferential

d)

Hard and Easy

2.

A group of subjects selected from a population is a __.

a)

Data

b)

Group

c)

Portion

d)

Sample

3.

A __ consists of all subjects (human or otherwise) that are being studied.

a)

Exam

b)

Population

c)

Sample

d)

Study

4.

It is a branch of statistics consisting of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.

a)

Descriptive

b)

Inferential

c)

Mathematical

d)

Population

5.

It is a type of inferential statistic used to determine if there is a significant difference between the means of two groups, which may be related to certain features.

a)

ANOVA

b)

Chi-Square

c)

Standard Deviation

d)

t-Test

6.

What is the purpose of a t-test?

a)

To test for significant difference between group means

b)

To analyze categorical data

c)

To perform regression analysis

d)

To calculate the median of a dataset

7.

Which of the following is the nature of the data for t-test?

a)

There can be only one variable of interest

b)

Numerical Variable

c)

Normal Distribution

d)

All of the above

8.

Which type of t-test is used to compare a sample mean to a predefined/critical value?

a)

ANOVA

b)

Independent sample t-test

c)

One-sample t-test

d)

Paired t-test

9.

What is the assumption for the data in a one-sample t-test?

a)

Data should be approximately normally distributed

b)

Data should be randomly selected

c)

There should be significant outliers

d)

Data should be categorical

10.

What is this H0 symbol called?

a)

Alternative Hypothesis

b)

Associative Hypothesis

c)

Null Hypothesis

d)

Simple Hypothesis

11.

Which of the following scenarios is appropriate for a dependent t-test?

a)

Comparing the test scores of two different classes

b)

Comparing the pre-test and post-test scores of the same group of students

c)

Comparing the heights of men and women

d)

Comparing the sales figures of two different stores

12.

What is another name for the dependent t-test?

a)

Independent t-test

b)

One-sample t-test

c)

Paired sample t-test

d)

Two-sample t-test

13.

A student measures the heart rate of participants before and after a physical exercise routine. Which statistical test should they use to analyze the data?

a)

ANOVA

b)

Chi-square test

c)

Dependent t-test

d)

Independent t-test

14.

In a science investigatory project, which scenario would be appropriate for using an independent t-test?

a)

Comparing the blood pressure of patients before and after a new medication

b)

Measuring the weight of individuals at two different times

c)

Comparing the reaction times of participants before and after consuming caffeine

d)

Comparing the test scores of two different groups of students taught with different teaching methods

15.

A researcher wants to compare the effectiveness of two different fertilizers on plant growth by using two separate groups of plants. Which statistical test should they use?

a)

ANOVA

b)

Chi-square test

c)

Dependent t-test

d)

Independent t-test

16.

In a project measuring the impact of a dietary supplement on athletes' performance, the same athletes are tested before and after taking the supplement. What is the alternative hypothesis for the dependent t-test?

a)

The mean difference in performance before and after taking the supplement is not zero

b)

There is no difference in performance before and after taking the supplement

c)

The variances of the two groups are equal

d)

The samples are from the same population

17.

Which of the following is an assumption that must be met for a dependent t-test?

a)

The samples are independent

b)

The differences between paired observations are normally distributed

c)

The samples have equal variances

d)

The samples are from different populations

18.

A project aims to compare the average reaction times of two different age groups under the same conditions. What is the null hypothesis for the independent t-test?

a)

There is no difference in the average reaction times between the two age groups

b)

The mean difference in reaction times is zero

c)

The variances of the two groups are equal

d)

The samples are from the same population

19.

What is the null hypothesis for an independent sample t-test?

a)

The data is not normally distributed

b)

The sample sizes of both groups are equal

c)

The sample means of both groups are significantly different

d)

The sample means of both groups are the same

20.

Direction: Read and analyze the questions given. Shade the corresponding letter of your answer on your answer sheet. What is the purpose of a paired sample t-test?

a)

To analyze categorical data

b)

To perform factor analysis

c)

To compare the means of two different samples or groups

d)

To compare the means of two related samples or groups

21.

What hypothesis indicates that THERE IS A MEAN DIFFERENCE between two independent samples, and is denoted by the symbol Ha?

a)

Alternative Hypothesis

b)

Associative Hypothesis

c)

Null Hypothesis

d)

Simple Hypothesis

22.

If the significance level of the two‑tailed t‑Test is 0.05 and the degrees of freedom is 6, what is its critical value? Use the t‑table given.

a)

1.943

b)

2.365

c)

2.447

d)

3.143

23.

Which of the following assumptions is NOT required for conducting an Independent Sample t‑test?

a)

Equal variances

b)

Dependent samples

c)

Normality of the data

d)

Random sampling

24.

Which of the following is the formula for independent t‑test?

a)

t = D̄ / S_D

b)

t = √[((Σx₁² − (Σx₁)²/N₁)/(N₁−2)) + ((Σx₂² − (Σx₂)²/N₂)/(N₂−2)) × (1/N₁ + 1/N₂)]

c)

t = ΣD² − (ΣD)²/N

d)

t = Σx² / √[N(N−1)]

25.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05). Based on the table of paired observations (cars A–F) with BEFORE and AFTER values and the computed differences D and D², what is the level of significance in the problem?

a)

0.001

b)

0.01

c)

0.05

d)

0.10

26.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). What is the value of ΣD?

a)

36.99

b)

41.65

c)

45.32

d)

49.98

27.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). Solve for the value of ΣD².

a)

353.40

b)

375.13

c)

396.85

d)

465.85

28.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). Calculate the sum of squares of the difference Σ(d²) in % particulate matter.

a)

11.08

b)

11.24

c)

11.32

d)

11.45

29.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). Solve for the standard error of the mean difference (SD).

a)

0.55

b)

0.61

c)

0.65

d)

0.78

30.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). Calculate D̄.

a)

7.40

b)

7.50

c)

7.55

d)

8.00

31.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). What is the computed t‑value in the problem?

a)

10.26

b)

10.93

c)

11.69

d)

12.38

32.

Problem: Consider a study which compares the percentage of particulate matter present before and after installation of luffa filter in the exhaust pipe of diesel engine cars (α = 0.05) (paired measurements for cars A–F). What would be the interpretation if the researcher used 2.571 as the tabular value?

a)

Fail to Reject the Null Hypothesis

b)

Reject the Null Hypothesis

c)

Claim the Alternative Hypothesis is true

d)

Undecided

33.

For the given table of independent samples below, calculate the sum of the column for group 1 (Σx₁).

a)

30

b)

35

c)

40

d)

45

34.

For the same independent samples table, find the sum of the squared values of group 2 (Σx₂²).

a)

47

b)

60

c)

95

d)

251

35.

For the same independent samples table, what is the degree of freedom?

a)

4

b)

5

c)

7

d)

9

36.

For the same independent samples table, determine the value of N for the two groups.

a)

5 and 4

b)

10 and 8

c)

35 and 13

d)

35 and 4

37.

For the same independent samples table, find the first group mean value x̄₁.

a)

5.25

b)

7.00

c)

8.60

d)

9.75

38.

For the same independent samples table, which of the following is the mean value of the second group x̄₂?

a)

2.00

b)

3.25

c)

3.75

d)

5.00

39.

For the same independent samples table, calculate t.

a)

2.58

b)

4.52

c)

6.14

d)

7.12

40.

For the same independent samples table, what would the interpretation be if the researcher used 2.365 as the tabular value?

a)

Fail to Reject the Null Hypothesis

b)

Reject the Null Hypothesis

c)

Claim the Alternative Hypothesis is true

d)

Undecided