Question 11 pts

Can sleep time be used to predict mood? To help answer this question, a researcher randomly selected 10 freshman from her university and recorded their mood and the number of hour they slept the previous night. (Use this information and data for all subsequent questions). Mood: 2 3 7 9 9 8 5 5 7 6 Sleep: 4 5 9 8 7 6 3 4 6 5 WHAT IS THE MEAN FOR MOOD?

Group of answer choices

6.1

5.7

6.5

5

answer not shown

Flag question: Question 2Question 21 pts

WHAT IS THE MEDIAN FOR MOOD?

Group of answer choices

6.1

5.7

6.5

5

answer not shown

Flag question: Question 3Question 31 pts

WHAT IS THE MODE FOR MOOD?

Group of answer choices

6.1

5.7

6.5

5

answer not shown

Flag question: Question 4Question 41 pts

WHAT IS THE RANGE FOR SLEEP?

Group of answer choices

6.5

7

4

6

answer not shown

Flag question: Question 5Question 51 pts

WHAT IS THE IQR FOR SLEEP?

Group of answer choices

3.5

4.25

3.0

3.7

answer not shown

Flag question: Question 6Question 61 pts

WHAT ARE Q₁ AND Q₃ FOR SLEEP?

Group of answer choices

4.5 and 8.25

4.0 and 7

4.0 and 7.55

3.75 and 8.25

answer not shown

Flag question: Question 7Question 71 pts

WHAT IS THE STANDARD DEVIATION (SD) FOR MOOD?

Group of answer choices

2.38

5.66

1.89

3.58

answer not shown

Flag question: Question 8Question 81 pts

WHAT IS THE VARIANCE (SD²) FOR MOOD?

Group of answer choices

2.38

5.66

1.89

3.58

answer not shown

Flag question: Question 9Question 91 pts

IN TERMS OF SKEWNESS, HOW WOULD YOU DESCRIBE THE MOOD DATA?

Group of answer choices

symmetrical

positively skewed

negatively skewed

platykurtic

mesokurtic

Flag question: Question 10Question 101 pts

IN TERMS OF KURTOSIS, HOW WOULD YOU DESCRIBE THE MOOD DATA?

Group of answer choices

leptokurtic

positively skewed

negatively skewed

platykurtic

mesokurtic

Flag question: Question 11Question 111 pts

IN TERMS OF SKEWNESS, HOW WOULD YOU DESCRIBE THE SLEEP DATA?

Group of answer choices

symmetrical

positively Skewed

negatively Skewed

leptokurtic

mesokurtic

Flag question: Question 12Question 121 pts

IN TERMS OF KURTOSIS, HOW WOULD YOU DESCRIBE THE SLEEP DATA?

Group of answer choices

platykurtic

mesokurtic

leptokurtic

symmetrical

metrokurtic

Flag question: Question 13Question 131 pts

WHAT IS THE NULL (Ho:) HYPOTHESIS FOR THIS QUESTION?

Group of answer choices

mood and sleep are not correlated

mood and sleep are correlated

sleep causes mood scores to vary

mood and sleep are positively correlated

mood and sleep are negatively correlated

Flag question: Question 14Question 141 pts

USING SYMBOLS, WHAT IS THE NULL (Ho:) HYPOTHESIS FOR THIS QUESTION?

Group of answer choices

H₀: 1 = 0

H₀: 1 < 0

H₀: 1 > 0

H₀: 1 = 1

H₀: 1 m 0

Flag question: Question 15Question 151 pts

WHAT IS THE ALTERNATIVE (Ha:) HYPOTHESIS FOR THIS QUESTION (ASSUME A TWO-TAILED TEST).

Group of answer choices

mood scores and sleep are not correlated

mood scores and sleep are correlated

sleep causes mood scores to vary

mood scores and sleep are positively correlated

mood score and sleep are negatively correlated

Flag question: Question 16Question 161 pts

USING SYMBOLS, WHAT IS THE ALTERNATIVE (Ha:) HYPOTHESIS FOR THIS QUESTION (ASSUME A TWO-TAILED TEST)?

Group of answer choices

H_A: ₁ m 0

H_A: ₁ m 1

H_A: ₁ < 0

H_A: ₁ > 0

H_A: ₁ = 1

Flag question: Question 17Question 171 pts

WHAT IS THE CRITICAL VALUE (CV) FOR THIS PROBLEM (ASSUME A TWO-TAILED TEST)?

Group of answer choices

.549

.612

.715

.632

Flag question: Question 18Question 181 pts

WHAT IS THE CORRELATION BETWEEN SLEEP AND MOOD?

Group of answer choices

.7

.49

-.7

-.49

Flag question: Question 19Question 191 pts

WHICH OF THE FOLLOWING IS CORRECT?

Group of answer choices

R² = .49, F(1, 8) = 7.69, p = .024

R² = .70, F(1, 8) = 7.69, p = .024

R² = .49, F(1, 9) = 7.69, p = .024

R = .49, F(1, 9) = 7.69, p = .024

R² = .49, F(1, 8) = 7.69, p = .012

Flag question: Question 20Question 201 pts

HOW WOULD YOU CLASSIFY THE EFFECT SIZE?

Group of answer choices

small

medium

large

very large

Flag question: Question 21Question 211 pts

WHICH DECISION SHOULD YOU MAKE?

Group of answer choices

reject the null

fail to reject the null

retain the null

accept the null

accept the alternative

Flag question: Question 22Question 221 pts

WHAT CONCLUSION SHOULD YOU MAKE?

Group of answer choices

The significant regression coefficient ( = .88, p = .024) indicates that a one- hour increase in sleep is associated with an increase in mood of .882 points.

The significant regression coefficient ( = .88, p = .024) indicates that an increase of .883 hours of sleep is associated with a one-point increase in mood.

The regression coefficient was not significant. As such, no predictions should be made.

The significant regression coefficient ( = .49, p = .024) indicates that a one- hour increase in sleep is associated with an increase in mood of .882 points.

Flag question: Question 23Question 231 pts

WHAT MOOD SCORE WOULD YOU PREDICT FOR SOMEONE WHO SLEPT 5 HOURS?

Group of answer choices

5.49

6.12

8.43

4.98

Flag question: Question 24Question 241 pts

ASSUMING (WE KNOW REALITY) THAT MOOD SCORES AND SLEEP ARE RELATED, WHICH OUTCOME HAS OCCURRED?

Group of answer choices

type 1 error (alpha, false positive)

type 2 error (beta, false negative)

power (1-beta, true positive)

1-alpha (1-alpha, true negative)

Flag question: Question 25Question 251 pts

ASSUMING (WE KNOW REALITY) THAT MOOD SCORES AND SLEEP ARE NOT RELATED, WHICH OUTCOME HAS OCCURRED?

Group of answer choices

type 1 error (alpha, false positive)

type 2 error (beta, false negative)

power (1-beta, true positive)

1-alpha (1-alpha, true negative)